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  • MPI Ethno. Forsch.  (57)
  • [Place of publication not identified] : O'Reilly  (57)
  • Machine learning  (35)
  • Web site development  (22)
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  • MPI Ethno. Forsch.  (57)
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Language
Years
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  • 1
    Online Resource
    Online Resource
    Neural networks and deep learning (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Neural networks are at the very core of deep learning. They are versatile, powerful, and scalable, making them ideal to tackle large and highly complex Machine Learning tasks, such as classifying billions of images (e.g., Google Images), powering speech recognition services (e.g., Apple's Siri), recommending the best videos to watch to hundreds of millions of users every day (e.g., YouTube), or learning to beat the world champion at the game of Go by examining millions of past games and then playing against itself (DeepMind's AlphaGo). This lesson introduces artificial neural networks, starting with a quick tour of the very first ANN architectures, then covering topics such as training neural nets, recurrent neural networks, and reinforcement learning. This lesson will clarify what neural networks are and why you may want to use them.
    Note: "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 16, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492037354/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Getting started with deep learning (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This lesson provides a practical overview of the foundations of neural networks and deep learning and also looks at deep networks. This lesson is for you because you are a data scientist or software developer who wants to understand and be able to use efficient tools to implement programs capable of learning from data.
    Note: "From Deep learning by Josh Patterson & Adam Gibson"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 16, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492037330/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (38 min., 44 sec.)) , digital, sound, color
    Keywords: R (Computer program language) ; Statistics ; Data processing ; Machine learning ; Neural networks (Computer science) ; Big data ; Electronic videos ; local
    Abstract: "In the world of big data, analysis by traditional statistical methods is no longer sufficient. The amount of data and the number of potential relationships that could be analyzed is simply too complex to conduct manually. In this video, you'll learn a better way: how to automate the analysis of big data by using machine learning techniques in R. You'll explore the cornerstone methods of machine learning (i.e., k-means clustering, decision trees, random forests, and neural networks); you'll incorporate these methods inside R to construct a set of machine learning algorithms; and then you'll deploy these algorithms against a real-world dataset to perform a high-value business analysis of the data. Course prerequisites include basic knowledge of linear algebra, probability, statistics, and familiarity with R."--Resource description page.
    Note: Title from title screen (viewed February 13, 2018). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 27 min.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "This video will serve as an introduction to PyTorch, a dynamic, deep learning framework in Python. In this video, you will learn to create simple neural networks, which are the backbone of artificial intelligence. We will start with fundamental concepts of deep learning (including feed forward networks, back-propagation, loss functions, etc.) and then dive into using PyTorch tensors to easily create our networks. Finally, we will CUDA render our code in order to be GPU-compatible for even faster model training."--Resource description page.
    Note: Title from title screen (Safari, viewed February 22, 2018). - Release date from resource description page (Safari, viewed February 22, 2018). - Includes bibliographical references and index
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Prototyping with Origami Studio : a beginner's guide (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 7 min., 50 sec.)) , digital, sound, color
    Keywords: Computer-aided design ; Computer programs ; Rapid prototyping ; User interfaces (Computer systems) ; Design ; Web site development ; Electronic videos ; local
    Abstract: "Today's world is all about smart phone and computers, but creating the apps and websites that run on these devices can take a year or more to complete. Prototypes are typically non-functioning models of apps and websites that give developers and designers the edge on this lengthy creation process. Why? Because prototypes can be assembled in as little as a single day, saving them time and money. This course teaches you how to use Origami, a prototyping tool created by designers at Facebook that makes it easy to create prototypes for smart apps and websites. You'll explore Origami's interface, learn the principles of prototyping, and gain experience assembling and disseminating a basic prototype."--Resource description page.
    Note: Title from title screen (viewed May 21, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (54 min., 31 sec.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "This video teaches you how to build a powerful image classifier in just minutes using convolutional neural networks and PyTorch. It reviews the fundamental concepts of convolution and image analysis; shows you how to create a simple convolutional neural network (CNN) with PyTorch; and demonstrates how using transfer learning with a deep CNN to train on image datasets can generate state-of-the-art performance. The course is designed for the software engineer looking to get started with deep learning and for the AI researcher with TensorFlow or Theano experience who wants a smooth transition into PyTorch. Prerequisites include an understanding of algebra, basic calculus, and basic Python skills. Learners should download and install PyTorch before starting class."--Resource description page.
    Note: Title from title screen (viewed June 6, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Getting started with SAS Enterprise Miner for machine learning : learning to perform segmentation and predictive modeling (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 33 min., 45 sec.)) , digital, sound, color
    Keywords: Enterprise miner ; SAS (Computer file) ; Data mining ; Machine learning ; Business ; Data processing ; Regression analysis ; Computer programs ; Statistics ; Data processing ; Electronic videos ; local
    Abstract: "SAS Enterprise Miner is SAS's premier tool for data mining and predictive modeling. This course introduces Enterprise Miner while demonstrating two common applications: segmentation and predictive modeling. It starts with a brief overview of the software and then covers segmentation and predictive modeling using a case-study approach based on real-world data. Upon completing the course, learners will have a basic, working knowledge of how to use Enterprise Miner to perform data mining and machine learning tasks. Participants should have a quantitative background and (ideally) some basic understanding of predictive models, including regression."--Resource description page.
    Note: Title from title screen (viewed March 6, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Einführung in Machine Learning mit Python : Praxiswissen Data Science (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: German
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 1. Auflage 2017.
    Keywords: Machine learning ; Python (Computer program language) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine Learning-Anwendungen selbst zu entwickeln, braucht es keine großen Teams: Wenn Sie Python-Grundkenntnisse mitbringen, kann Ihnen dieses Praxisbuch zeigen, wie Sie Ihre eigenen Machine Learning-Lösungen entwickeln.Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine Learning-Algorithmen auf die Praxis und weniger auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Buch herauszuholen.
    Note: Includes index. - Description based on online resource; title from title page (viewed November 1, 2017)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Recommendation systems (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (38 min., 33 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "Recommendation systems are a class of machine learning models with many applications. The idea behind recommendation systems is simple: filtering information to suggest items (anything from clothes to films) to users with the predicted probability that the users will enjoy such items. This course provides an introduction to recommendation systems. It starts by looking at the applications for these systems with a focus on the big companies whose fortune is built upon them. It then goes through a discussion of the different types of recommendation systems and how to implement them. You'll explore non-personalized systems, association rule learning, collaborative filtering, personalized systems, and the methods used to assess the quality (i.e., how good are the recommendations?) of a recommendation system. Learners should understand basic logic, supervised learning, and statistics."--Resource description page.
    Note: Title from title screen (viewed September 28, 2017). - Date of publication taken from resource description page. - "Part 6 of 6."
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Supervised classification algorithms (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 57 min., 35 sec.)) , digital, sound, color
    Keywords: Regression analysis ; Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "Classification is the sub-field of machine learning encountered more frequently than any other in data science applications. There are many different classification techniques and this course explains some of the most important ones, including algorithms such as logistic regression, k-nearest neighbors (k-NN), decision trees, ensemble models like random forests, and support vector machines. The course also covers Naive Bayes classifiers and in so doing, covers Bayes' theorem and basic Bayesian inference, both of which are widely used in training many machine learning algorithms. A basic knowledge of algebra is required. A solid understanding of differential calculus will be necessary for logistic regression, Support Vector Machines and Bayesian Inference."--Resource description page.
    Note: Title from title screen (viewed September 21, 2017). - Date of publication taken from resource description page. - "Part 3 of 6."
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Clustering and unsupervised learning (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (36 min., 46 sec.)) , digital, sound, color
    Keywords: Regression analysis ; Machine learning ; Hierarchical clustering (Cluster analysis) ; Artificial intelligence ; Electronic videos ; local
    Abstract: "This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including the concepts of distance functions and k-modes; illustrates hierarchical clustering through visual examples of dendrograms, and discusses different types of clustering algorithms. The course ends with a comparison of the performance of different algorithms. An understanding of basic algebra is required and some knowledge of linear algebra will be helpful."--Resource description page.
    Note: Title from title screen (viewed September 26, 2017). - "Part 4 of 6.". - Date of publication taken from resource description page
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Advanced database principles and REST in Grails 3 (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 46 min., 1 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen explores advanced database features that include switching databases, using multiple databases in a single Grails application, and how to invoke stored procedures by bypassing Hibernate. He also reveals how to map data to an existing database using Grails 3 custom ORM mapping tags. From there, he dives into a review of REST principles. He builds a RESTful web service using the rest-api profile, adds a RESTful controller, and looks at JSON views. Finally, he shows you how to conduct an integration test using a REST client."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Understanding support vector machines (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: What you'll learn-and how you can apply it You'll learn the core concepts one of the most popular models in Machine Learning-support vector machines-how to use them, and how they work. Readers will gain an intuitive understanding of the mathematics involved in SVMs, including an introduction to using polynomial kernels. At the end of this Lesson, readers will be able to do binary classification for rather simple problems. This lesson is for you because You have some programming experience and you're ready to code a Machine Learning project. You want to classify attributes on small- to medium-sized datasets and possibly complex datasets. Prerequisites: Have some programming experience (know how to code in Python) Understanding of basic machine learning concepts (fitting a model to data) Materials or downloads needed: Python Scikit-Learn (code written and tested on v. 0.18)
    Note: "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Description based on online resource; title from title page (Safari, viewed May 25, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491978733/?ar
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    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Declarative React : learning React Router 4 (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (47 min., 21 sec.)) , digital, sound, color
    Keywords: React (Electronic resource) ; Web site development ; Web applications ; Computer programs ; Electronic videos ; local
    Abstract: "If you are looking for a best-in-class routing option for React, look no further than React Router 4. It provides a great library for your React or React Native projects with a simple syntax. In this course, we'll explore the basics of Router 4 and apply them to two projects: a React web application and a React Native application. We'll explore the library in detail, covering subjects such as basic routing, linking, code-splitting, animation in routing, and much more. Learners must have JavaScript ES6 standards experience and basic React app development experience."--Resource description page.
    Note: Title from title screen (Safari, viewed September 26, 2017). - Release date from resource description page
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Training and exporting machine learning models in Spark : a hands-on guide to train, score, evaluate, and export machine learning models (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (34 min., 53 sec.)) , digital, sound, color
    Keywords: SPARK (Electronic resource) ; Machine learning ; Electronic videos ; local
    Abstract: "Spark ML provides a rich set of tools and models for training, scoring, evaluating, and exporting machine learning models. This video walks you through each step in the process. You'll explore the basics of Spark's DataFrames, Transformer, Estimator, Pipeline, and Parameter, and how to utilize the Spark API to create model uniformity and comparability. You'll learn how to create meaningful models and labels from a raw dataset; train and score a variety of models; target price predictions; compare results using MAE, MSE, and other scores; and employ the SparkML evaluator to automate the parameter-tuning process using cross validation. To complete the lesson, you'll learn to export and serialize a Spark trained model as PMML (an industry standard for model serialization), so you can deploy in applications outside the Spark cluster environment."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    Introduction to computer vision with TensorFlow : using convolutional neural networks and TensorFlow to solve computer vision tasks (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (30 min., 56 sec.)) , digital, sound, color
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic videos ; local
    Abstract: "This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs."--Resource description page.
    Note: Title from title screen (viewed May 18, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 17
    Online Resource
    Online Resource
    Customizing state-of-the-art deep learning models for new computer vision solutions (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (37 min., 23 sec.)) , digital, sound, color
    Keywords: O'Reilly Artificial Intelligence Conference ; (2017 ; New York, New York) ; Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Computer software ; Electronic videos ; local
    Abstract: A presentation from the June 2017 O'Reilly Artificial Intelligence Conference in New York.
    Note: Title from title screen (viewed July 16, 2018)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    Monitoring and improving the performance of machine learning models : how to use ModelDB and Spark to track and improve model performance over time (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (35 min., 52 sec.)) , digital, sound, color
    Keywords: SPARK (Electronic resource) ; ModelDB (Electronic resource) ; Machine learning ; Electronic videos ; local
    Abstract: "It's critical to have 'humans in the loop' when automating the deployment of machine learning (ML) models. Why? Because models often perform worse over time. This course covers the human directed safeguards that prevent poorly performing models from deploying into production and the techniques for evaluating models over time. We'll use ModelDB to capture the appropriate metrics that help you identify poorly performing models. We'll review the many factors that affect model performance (i.e., changing users and user preferences, stale data, etc.) and the variables that lose predictive power. We'll explain how to utilize classification and prediction scoring methods such as precision recall, ROC, and jaccard similarity. We'll also show you how ModelDB allows you to track provenance and metrics for model performance and health; how to integrate ModelDB with SparkML; and how to use the ModelDB APIs to store information when training models in Spark ML. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; cloud platforms like Amazon Web Services; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    The frontend's high performance responsive design (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Mobile computing ; Electronic books ; Electronic books ; local
    Abstract: Yes, you can use responsive web design to create high performance, compelling websites. With this practical book, author Tom Barker demonstrates that responsive design is not just a frontend-only approach, but also a philosophy for taking advantage of the entire web stack. Responsive design patterns and anti-patterns, derived from heavily used real-world sites, are guiding principles throughout the book.
    Note: "From High performance responsive design by Tom Barker"--Cover. - Date of publication from resource description page. - "Lesson"--Cover. - Description based on online resource; title from title page (Safari, viewed January 11, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492030379/?ar
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    MPI Ethno. Forsch.
  • 20
    Online Resource
    Online Resource
    Deploying machine learning models as microservices using Docker : a REST-based architecture for serving ML model outputs at scale (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (24 min., 30 sec.)) , digital, sound, color
    Keywords: Machine learning ; Application software ; Development ; Electronic videos ; local
    Abstract: "Modern applications running in the cloud often rely on REST-based microservices architectures by using Docker containers. Docker enables your applications to communicate between one another and to compose and scale various components. Data scientists use these techniques to efficiently scale their machine learning models to production applications. This video teaches you how to deploy machine learning models behind a REST API, to serve low latency requests from applications, without using a Spark cluster. In the process, you'll learn how to export models trained in SparkML; how to work with Docker, a convenient way to build, deploy, and ship application code for microservices; and how a model scoring service should support single on-demand predictions and bulk predictions. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; cloud platforms like Amazon Web Services; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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  • 21
    Online Resource
    Online Resource
    Deploying Spark ML pipelines in production on AWS : how to publish pipeline artifacts and run pipelines in production (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (23 min., 20 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; SPARK (Electronic resource) ; Machine learning ; Cloud computing ; Electronic books ; Electronic videos ; local
    Abstract: "Translating a Spark application from running in a local environment to running on a production cluster in the cloud requires several critical steps, including publishing artifacts, installing dependencies, and defining the steps in a pipeline. This video is a hands-on guide through the process of deploying your Spark ML pipelines in production. You'll learn how to create a pipeline that supports model reproducibility--making your machine learning models more reliable--and how to update your pipeline incrementally as the underlying data change. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; Amazon Web Services such as S3, EMR, and EC2; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 22
    Online Resource
    Online Resource
    Web performance is user experience (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: As a web designer, you encounter tough choices when it comes to weighing aesthetics and performance. Good content, layout, images, and interactivity are essential for engaging your audience, and each of these elements has an enormous impact on page load time and the end-user experience. In this practical book, Laura Hogan helps you approach projects with page speed in mind, showing you how to test and benchmark which design choices are most critical.
    Note: Date of publication from resource description page (Safari, viewed December 5, 2017). - "From Designing for performance by Lara Callender Hogan.". - "Lesson.". - Description based on online resource; title from cover (viewed December 5, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781492029823/?ar
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  • 23
    Online Resource
    Online Resource
    Learn how to build intelligent data applications with Amazon Web Services (AWS) : understanding and using AWS products and services, AWS Data Pipeline, Kinesis Analytics, RDS and Redshift databases, and Amazon Machine Learning (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 23 min., 42 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Machine learning ; Electronic videos ; local
    Abstract: "This course shows you how to use a range of AWS services to create intelligent end-to-end applications that incorporate ingestion, storage, preprocessing, machine learning (ML), and connectivity to an application client or server. The course is designed for data scientists looking for clear instruction on how to deploy locally developed ML applications to the AWS platform, and for developers who want to add machine learning capabilities to their applications using AWS services. Prerequisites include: Basic awareness of Amazon Simple Storage Service (S3), Elastic Compute Cloud (EC2), and Amazon Elastic MapReduce; as well as some knowledge of ML concepts like classification and regression analysis, model types, training and performance measures; and a general understanding of Python."--Resource description page.
    Note: Title from title screen (viewed August 10, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 24
    Online Resource
    Online Resource
    Introduction to deep learning models with TensorFlow : learn how to work with TensorFlow to create and run a TensorFlow graph, and build a deep learning model (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (32 min., 26 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "TensorFlow is by far the most popular deep learning software package available today. This training covers all of the essentials of TensorFlow; and provides you with hands-on experience building a deep learning model using the TensorFlow library. Every line of code written during the course is analyzed to help you understand what can be a complicated process. The lessons look at the key mathematical foundations of deep learning models, giving you insight into what makes these techniques work. Created for software engineers and budding data scientists, the course requires basic familiarity with Python programming; as well as statistics concepts such as linear and logistic regression, machine learning concepts like classification, and linear algebra. Jupyter Notebook is used to write and run code."--Resource description page.
    Note: Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 25
    Online Resource
    Online Resource
    Learn to build web applications with PHP, MySQL, and JavaScript : a comprehensive look at the skills and tools used in building websites and mobile apps (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (11 hr., 21 min., 55 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Web site development ; Mobile apps ; Development ; Application software ; Development ; Mobile computing ; Electronic videos ; local
    Abstract: "Becoming a professional full stack web developer requires a solid understanding of the software tools most commonly used to create websites and mobile apps: JavaScript, jQuery, HTML, CSS, PHP, and MySQL. This course teaches you about each of these tools, including their purpose, how they interact with the other tools, and detailed instruction on how to use them. Steve also covers the skill sets used in web development, such as image manipulation, page design, and database development. You'll learn how modern websites really work, as well as gain hands-on experience using the tools and skill sets the professionals use to make those websites."--Resource description page.
    Note: Title from title screen (viewed July 28, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 26
    Online Resource
    Online Resource
    Optimizing images (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: Uncover the best practices for use and optimization for each file type. Included in this excerpt are techniques to optimize the way images are loaded into web pages, such as spriting or replacing them with CSS or SVG. Lastly, we'll cover what you can do to increase the longevity of your optimized image solutions, including implementing style guides or automated workflows for image compression.
    Note: "From Designing for performance by Lara Callender Hogan"--Cover. - Date of publication from resource description page. - "Lesson"--Cover. - Description based on online resource; title from title page (Safari, viewed January 10, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492030393/?ar
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  • 27
    Online Resource
    Online Resource
    Deep learning for strategic decision makers : understanding deep learning and how it produces business value (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 47 min., 28 sec.)) , digital, sound, color
    Keywords: Artificial intelligence ; Machine learning ; Information visualization ; Electronic videos ; local
    Abstract: "Deep learning (DL) is an exciting new data technology that's creating business value for companies like Google, Yahoo, Microsoft, Amazon, Netflix, Spotify, and more. This course explains DL's core concepts, demystifies the math and science underlying the technology, and reviews its strengths, weaknesses, challenges, and risks from a strategic perspective. Business executives seeking a market-focused introduction to this technology will come away with the ability to articulate DL's core concepts and an understanding of how they fit together to produce business value."--Resource description page.
    Note: Title from title screen (viewed August 23, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 28
    Online Resource
    Online Resource
    Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 48 min., 8 sec.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Computer vision ; Machine learning ; Electronic videos ; local
    Abstract: "Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their role in visualization and image enhancement. The course covers concepts, processes, and technologies such as CNN layers and architectures. It also explains CNN image classification and segmentation, deep dream and style transfer, super-resolution, and generative adversarial networks (GANs). Learners who come to this course with a basic knowledge of deep learning principles, some computer vision experience, and exposure to engineering math should gain the ability to implement CNNs and use them to create their own visualizations."--Resource description page.
    Note: Title from title screen (viewed August 15, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 29
    Online Resource
    Online Resource
    Introduction to TensorFlow-Slim : complex TensorFlow model building and training made easy (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 42 min., 25 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "TensorFlow-Slim (TF-Slim) is a TensorFlow wrapper library that allows you to build and train complex TensorFlow models in an easy, intuitive way by eliminating the boilerplate code that plagues many deep learning algorithms. This course teaches you how to use TF-Slim and is intended for learners with some previous experience working with TensorFlow. To get the most out of this training, learners should be familiar with the core concepts of data science theory (train/test splits, overfitting and underfitting, bias-variance tradeoffs, etc.), and deep learning theory (backpropogation, weight parameter tensors, neural network layers, objective and loss functions, and optimization via stochastic descent)."--Resource description page.
    Note: Title from title screen (viewed April 20, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 30
    Online Resource
    Online Resource
    Introduction to cognitive computing with IBM Watson Services : break free from the myths surrounding IBM Watson to learn what it really can and can't do (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 14 min., 8 sec.)) , digital, sound, color
    Keywords: Watson (Computer) ; Application program interfaces (Computer software) ; Application software ; Development ; Machine learning ; Natural language processing (Computer science) ; Electronic videos ; local
    Abstract: "Data scientist and entrepreneur, Matt Coatney, provides a hype free overview of IBM Watson in this course covering Watson's technology and key machine learning capabilities. You'll learn how to access Watson's key services, how to converse with Watson, and how to extract structure and meaning from content using Watson's natural language processing (NLP) functions. Coatney offers real life use cases and code samples to provide business executives and software developers with the tools they need to bring cognitive computing into their applications. As a result of this course, strategic decision makers and technologists will know how to integrate IBM Watson into their own particular industries and businesses."--Resource description page.
    Note: Title from title screen (viewed June 30, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 31
    Online Resource
    Online Resource
    Introduction to Amazon machine learning : learn how to build data driven predictive applications with Amazon Web Services (AWS) (2017)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491991138
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 47 min., 25 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Big data ; Electronic videos ; local
    Abstract: "This course shows you how to build a model using Amazon Machine Learning (Amazon ML) and use it to make predictions. AWS expert Dan Moore covers the basic types of machine learning, how to prepare your data, and how to make your data available to the Amazon Machine Learning processes. You'll also learn about evaluating a model for accuracy, using it both for batch and real-time predictions, and using tags to manage environments. Designed for developers and technical marketers new to machine learning and for data scientists interested in using the AWS Amazon ML platform, the course provides hands-on experience building a working predictive model using real data. Learners should obtain an AWS account (free from Amazon) and a basic understanding of AWS concepts before beginning the course."--Resource description page.
    Note: Title from title screen (viewed July 31, 2017). - Date of publication from resource description page
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  • 32
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    Online Resource
    Machine learning for designers : an introduction to the core technologies of machine learning and the emerging opportunities for ML-enhanced design (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 17 min., 24 sec.)) , digital, sound, color
    Keywords: Machine learning ; User interfaces (Computer systems) ; Electronic videos ; local
    Abstract: "Recent advances in machine learning (ML), natural language processing, image recognition, content personalization, and behavior prediction are radically changing the capabilities of software and the interfaces people use to interact with that software. This course provides an insider's look at contemporary ML technologies and how these technologies are transforming the next generation of computing interfaces for search engines, intelligent assistants, connected homes, and open-world video games. Created for designers new to the world of machine learning, the course provides an explanation of the basic concepts of ML, offers a hands-on introduction to ML's core toolsets, and surveys the upcoming opportunities for designers with ML skills."--Resource description page.
    Note: Title from title screen (viewed May 18, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 33
    Online Resource
    Online Resource
    An introduction to machine learning models in production : how to transition from one-off models to reproducible pipelines (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (39 min., 56 sec.)) , digital, sound, color
    Keywords: Machine learning ; Cloud computing ; Quantitative research ; Mathematical statistics ; Data processing ; Electronic books ; Electronic videos ; local
    Abstract: "This course lays out the common architecture, infrastructure, and theoretical considerations for managing an enterprise machine learning (ML) model pipeline. Because automation is the key to effective operations, you'll learn about open source tools like Spark, Hive, ModelDB, and Docker and how they're used to bridge the gap between individual models and a reproducible pipeline. You'll also learn how effective data teams operate; why they use a common process for building, training, deploying, and maintaining ML models; and how they're able to seamlessly push models into production. The course is designed for the data engineer transitioning to the cloud and for the data scientist ready to use model deployment pipelines that are reproducible and automated. Learners should have basic familiarity with: cloud platforms like Amazon Web Services; Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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  • 34
    Online Resource
    Online Resource
    Introduction to Adobe Experience Design (XD) : learn the basics of using Adobe XD to prototype web sites and apps without having to code anything (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 6 min., 58 sec.)) , digital, sound, color
    Keywords: Web site development ; Web sites ; Design ; Application software ; Development ; Mobile apps ; Development ; Electronic videos ; local
    Abstract: "Adobe XD lets designers be designers by making it possible for them to create working prototypes of web sites and apps without writing a single piece of code. Adobe expert Andy Anderson teaches the basics of using Adobe XD and the process of building prototypes in this hands-on course where you don't just see the software, you use it to design an actual working prototype of a very tasty cooking app."--Resource description page.
    Note: Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 35
    Online Resource
    Online Resource
    Training, evaluating, and tuning deep neural network models with TensorFlow-Slim : advanced topics in training, evaluating, and tuning deep neural network models (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 12 min., 34 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "This course builds on the training in Marvin Bertin's 'Introduction to TensorFlow-Slim', which covered the basic concepts and uses of the TensorFlow-Slim (TF-Slim) API. In a series of lessons designed for learners with basic machine learning knowledge and some previous TensorFlow experience, you'll explore many of TF-Slim's most advanced features; using them to build and train sophisticated deep learning models. As you work through the examples, you'll come to appreciate TF-Slim's primary benefit: its ability to enable the work of machine learning while avoiding code complexity, a significant problem in the world of increasingly deep neural networks."--Resource description page.
    Note: Title from title screen (viewed April 21, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 36
    Online Resource
    Online Resource
    Neural networks (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (43 min., 16 sec.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "Neural networks form the foundation for deep learning, the most advanced and popular machine learning technique in use today. This course provides an introduction to neural networks. It begins with an overview of a neural network's basic concepts and building blocks - neurons, weights, activations, and layers - before explaining how to train one using gradient descent. The optimization technique is explained with a visual example and different issues such as parameter initialization and model validation are discussed. The course covers the different types of neural network architectures, explains the differences between them, and illustrates practical applications for each. Because training a neural network can be very slow, the course will offer up some tricks for speeding up the process and improving results. The course ends with a review of the history of this fascinating field, from its origin to its fall, and then its subsequent rise in modern days. Requirements include a clear understanding of supervised learning and optimization."--Resource description page.
    Note: Title from title screen (viewed September 28, 2017). - Date of publication taken from resource description page. - "Part 5 of 6."
    URL: lizenzpflichtig
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  • 37
    Online Resource
    Online Resource
    Getting started with TensorFlow (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn-and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials. This lesson is for you because You've gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network. You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization. You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets. You don't have much experience in deep learning libraries, hands-on with examples of code. Prerequisites: Understanding of gradient descent Programming experience (understanding of how to code in Python) Materials or downloads needed: Python TensorFlow (recommend latest version, code written and tested on v. 0.11)
    Note: "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Description based on online resource; title from title page (Safari, viewed May 25, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491978757/?ar
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  • 38
    Online Resource
    Online Resource
    Linear regression (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 1 min., 19 sec.)) , digital, sound, color
    Keywords: Regression analysis ; Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "Linear regression is one of the most important machine learning tools. It is the simplest of the predictive modeling techniques and it is widely used, whether on its own or in combination with other techniques. This course teaches the principles and practices of linear regression. It reviews the meaning of modeling, explains linear regression's key concepts (e.g., cost function, R-squared metric, etc.), describes the practice and need for hypothesis testing, illustrates how to implement linear regression computationally, and showcases an implementation of ridge regression. An understanding of basic mathematics is required, and some knowledge of linear algebra and differential calculus will allow the viewer to understand all of the subtle details."--Resource description page.
    Note: Title from title screen (viewed September 21, 2017). - Date of publication taken from resource description page. - "Part 2 of 6."
    URL: lizenzpflichtig
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  • 39
    Online Resource
    Online Resource
    Working with Grails 3 controllers and services (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 17 min., 33 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen uses a more complete domain model in Grails 3 to show how the static scaffolding works with the fields plugin to build a complete set of web pages for multiple tables. From there, he dives into the details of the generated view pages, which use Grails 3 custom tags and data exposed at different scopes, including flash scope. Finally, he reviews transactional services and dependency injection of service beans, and reveals how to access JSON data through a REST controller."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
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  • 40
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    Online Resource
    Dealing with real-world data (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (41 min., 34 sec.)) , digital, sound, color
    Keywords: Regression analysis ; Machine learning ; Artificial intelligence ; Electronic videos ; local
    Abstract: "This course covers a subject central to the practice of data science and machine learning: the tricky and often overlooked problem of how to deal with real-world data. It provides an overview of the things data scientists think about when gaining access to a data set. You'll learn about data types, data exploration, the curse of dimensionality, PCA, model evaluation, and more, in this pragmatic introduction to the terminology and concepts surrounding data and machine learning. Learners with a basic working knowledge of mathematics will be able to enjoy the course and immediately start working on machine learning problems."--Resource description page.
    Note: Title from title screen (viewed September 26, 2017). - "Part 1 of 6.". - Date of publication taken from resource description page
    URL: lizenzpflichtig
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  • 41
    Online Resource
    Online Resource
    Understanding the Grails 3 domain model (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 25 min., 4 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen shows you how to build a simple Grails 3 application, starting with installation options, IDE usage, and learning how Grails handles HTTP requests and responses. He provides a quick primer on how to use the Groovy programming language to work comfortably in Grails before creating a new project from the Grails Application Forge. From there, he dives into the underlying architecture of a Grails 3 application, which includes adding controllers, seeing how responses are returned and rendered, and unit testing controllers."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
    URL: lizenzpflichtig
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  • 42
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    Online Resource
    Beginning Java Web development : an introduction to lightweight development, deployment, and security (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491971499 , 1491971495
    Language: English
    Pages: 1 online resource (1 streaming video file (19 hr., 19 min., 45 sec.)) , digital, sound, color
    Keywords: Internet videos ; Streaming video ; Java (Computer program language) ; Web site development ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: "Get practical experience in professional Java web programming for enterprises. Start by learning about web apps and databases using JavaServer Pages (JSP) and Plain Old Java Objects (POJOs). As you progress, you'll learn how to extend and improve upon a sample shopping cart web application. Finally, you'll spin up an Apache Tomcat web server and see how it all comes together."--Resource description page.
    Note: Title from resource description page (Safari, viewed September 9, 2016)
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  • 43
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    Online Resource
    Introduction to Pandas for developers : understand the basic workflows and gotchas of crawling, munging and plotting data (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375764
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 35 min., 43 sec.)) , digital, sound, color
    Keywords: Data mining ; Python (Computer program language) ; Machine learning ; Electronic videos ; local
    Abstract: "In this Introduction to Pandas for Developers training course, expert author Matt Harrison will teach you how to load data in Pandas data structures. This course is designed for users that are already familiar with Python. You will start by learning about Python lists, Pandas series, and boolean arrays, then jump into learning about dataframes. From there, Matt will teach you about relational algebra, tweaking dataframes, and joins. This video tutorial also covers filtering dataframes, grouping, serialization, plotting, and time series. Finally, you will learn about machine learning and using Pandas with scikit-learn. Once you have completed this computer based training course, you will have learned about basic workflows and gotchas of crawling, munging, and plotting data."--Resource description page.
    Note: Title from title screen (viewed April 1, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 44
    Online Resource
    Online Resource
    Beginning Java Web development : an introduction to lightweight development, deployment, and security (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771376051
    Language: English
    Pages: 1 online resource (1 streaming video file (12 hr., 23 min., 27 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Web sites ; Design ; Web site development ; Electronic videos ; local
    Abstract: "In this Beginning Java Web Development training course, expert author Martin Kalin will teach you everything you need to know about Java web development. This course is designed for users that are familiar with writing, compiling, and executing Java applications. You will start by learning about web apps and databases using JSP and POJOs. From there, Martin will teach you about servlets, including the flow of control in servlets, code analysis, and concurrency issues in Java web apps. This video tutorial also features an example of a shopping cart as a web app, where you will learn how to extend and improve the shopping cart web app. Finally, you will learn about web app security, including wire-level security and user authentication and role authorization. Once you have completed this computer based training course, you will have learned everything you need to know about Java web development. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed April 22, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 45
    Online Resource
    Online Resource
    Learning Apache Tomcat : from installation to app deployment, monitoring, security, and troubleshooting (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 56 min., 18 sec.)) , digital, sound, color
    Keywords: Apache Tomcat ; Web servers ; Web site development ; Internet programming ; Electronic videos ; local
    Abstract: "Tomcat is a web server popular with Java programmers and system admins who need a superior web server to publish their web apps. Written in Java for the Java community, Tomcat is a free production grade web server that is open source, cross-platform (runs on Unix, Linux, Mac OSX, Windows), and very easy to install with no real need for configuration other than for security purposes. System admins love the lightweight Tomcat because it's a no-fuss web server with very reasonable defaults that are easy to customize. In this course, Java and Tomcat wizard Marty Kalin will show you everything you need to know to get Tomcat up and running."--Resource description page.
    Note: Title from title screen (viewed August 12, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 46
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    Online Resource
    Advanced Java development : from generics and collections to concurrency and data access (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 45 min., 58 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Object-oriented programming (Computer science) ; Web site development ; Web sites ; Design ; Electronic videos ; local
    Abstract: "You're a junior developer with a couple of years of Java under your belt and you've hit the Java wall of mystery. The knowledge blocker where complex concepts like concurrency and network programming or generics and collections leave you baffled and unable to proceed. In this video, Java wizard Ken Kousen de-mystifies all to transport you to a smarter place. A place where your newfound Java skills work magic into the day-to-day practices of database programming, network programming and back-end web development. Spells uncovered include: generic programming, concurrency, interfaces, inheritance, objects, the new I/O packages, working with relational databases, networking, testing, inner classes, and the new features of Java 8. Put on your cape and zoom."--Resource description page.
    Note: Title from title screen (viewed July 7, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 47
    Online Resource
    Online Resource
    Building a complete Web application : hands-on website development with HTML, CSS, PHP, MySQL, Javascript and jQuery Mobile (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375498
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 40 min., 18 sec.)) , digital, sound, color
    Keywords: Web site development ; Application software ; Internet programming ; Electronic videos ; local
    Abstract: "In this Building a Complete Web Application training course, expert author Steve Perry will teach you how to successfully build a complete web application. This course is designed for users that are familiar with HTML and have basic programming knowledge. You will start by learning how to set up your computer, install a local server, and find and use a hosting service. From there, Steve will cover the prerequisite knowledge, then jump into HTML, CSS, web graphics, JavaScript, and AJAX. This video tutorial will teach you about database design and implementation, how to integrate jQuery into the application, and how to work with mobile devices. Finally, you will learn about testing and validation, using social media for marketing, sending email with PHP, and implementing a shopping cart."--Resource description page.
    Note: Title from title screen (Safari, viewed March 11, 2016). - Date of publication from resource description page (Safari, viewed March 11, 2016)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 48
    Online Resource
    Online Resource
    Hello, TensorFlow! : building and training your first TensorFlow graph from the ground up (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: TensorFlow (Electronic resource) ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Building and training your first TensorFlow graph from the ground up.
    Note: Date of publication from resource description page (Safari, viewed August 24, 2016). - Description based on online resource; title from cover (Safari, viewed August 24, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781491971628/?ar
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  • 49
    Online Resource
    Online Resource
    Advancing from jQuery 2 to jQuery 3 : what's new, when and why to upgrade (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (54 min., 24 sec.)) , digital, sound, color
    Keywords: Web sites ; Design ; JavaScript (Computer program language) ; Web site development ; HTML (Document markup language) ; Electronic videos ; local
    Abstract: "Advancing from jQuery 2 to jQuery 3 opens the door to new features and performance advantages, but is it right for your project? Explore new features in jQuery 3 such as Promises/A+, accelerated graphics, improved data binding, unwrap functionality, and animations. Expert Daniel Stern takes you through live demonstrations, in-depth lessons, and a TodoMVC project implemented on both jQuery 2 and 3 libraries. To get the most out of this course, viewers should have a basic understanding of HTML, JavaScript, and jQuery. Access to a PC or MAC workstation with administrator privileges is recommended."--Resource description page.
    Note: Title from title screen (viewed July 29, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Online Resource
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  • 50
    Online Resource
    Online Resource
    Kubernetes and Prometheus : the beginning of a beautiful friendship (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (39 min., 17 sec.)) , digital, sound, color
    Keywords: Prometheus (Computer file) ; Cloud computing ; Web site development ; Computer software ; Development ; Electronic videos ; local
    Abstract: "Kubernetes and Prometheus are still pretty young, but somehow they immediately fell in love when they first met in early 2015. And now Prometheus has moved into the shiny new CNCF building that Kubernetes has called home for a while. Björn Rabenstein explores how the first two projects hosted by the Cloud Native Computing Foundation work together."--Resource description page.
    Note: Title from title screen (viewed May 11, 2018). - An excerpt from the O'Reilly 2016 Velocity Conference in Amsterdam
    URL: lizenzpflichtig
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  • 51
    Online Resource
    Online Resource
    Up to speed with PHP 7 : an intermediate developer's guide to changes and new features (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374910
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 56 min., 45 sec.)) , digital, sound, color
    Keywords: PHP (Computer program language) ; Web site development ; Electronic videos ; local
    Abstract: "In this Up to Speed with PHP 7 training course, expert author David Powers will teach you about the new features and changes in the next major version of PHP. This course is designed for users that already have a solid understanding of PHP. You will start by learning about what has changed in PHP 7, including internal changes, changes to existing features, and removed features. From there, David will teach you about new operators and functions and type checking. This video tutorial also covers classes and generators and error handling, including anonymous classes, generator delegation, and how to catch fatal errors. Finally, you will cover miscellaneous changes, such as using reserved words in classes, uniform variable syntax, and using assertions for debugging. Once you have completed this computer based training course, you will have learned all about the changes and new features in PHP 7. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed August 11, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 52
    Online Resource
    Online Resource
    Static site generators : why use them and how they work (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491955130
    Language: English
    Pages: 1 online resource (1 streaming video file (48 min., 26 sec.)) , digital, sound, color
    Keywords: Web site development ; Web sites ; Design ; Application software ; Development ; Client/server computing ; Electronic videos ; local
    Abstract: "For years now we've had powerful application servers like PHP, Node, and ColdFusion, that could create our web apps. But there has been a shift recently in terms of how much we do on an application server versus how much we can do on the browser itself, as well as how much is done on a mobile app instead. Static site generators provide a powerful middle ground between a full app server deployment and a simple collection of static files. In this webcast I'll talk about why you would use static site generators, how they work in general, how one (Harp) works in particular, and discuss how to add dynamic aspects back into the static site."--Resource description page.
    Note: Title from title screen (viewed March 10, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 53
    Online Resource
    Online Resource
    Advanced machine learning with scikit-learn : tools and techniques for predictive analytics in Python (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374927
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 44 min., 6 sec.)) , digital, sound, color
    Keywords: Machine learning ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this Advanced Machine Learning with scikit-learn training course, expert author Andreas Mueller will teach you how to choose and evaluate machine learning models. This course is designed for users that already have experience with Python. You will start by learning about model complexity, overfitting and underfitting. From there, Andreas will teach you about pipelines, advanced metrics and imbalanced classes, and model selection for unsupervised learning. This video tutorial also covers dealing with categorical variables, dictionaries, and incomplete data, and how to handle text data. Finally, you will learn about out of core learning, including the sci-learn interface for out of core learning and kernel approximations for large-scale non-linear classification. Once you have completed this computer based training course, you will have learned everything you need to know to be able to choose and evaluate machine learning models. Working files are included, allowing you to follow along with the author throughout the lessons. "--Resource description page.
    Note: Title from title screen (viewed October 26, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 54
    Online Resource
    Online Resource
    Scalable machine learning : complex data analysis at scale (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491939437
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 8 min., 19 sec.)) , digital, sound, color
    Keywords: Machine learning ; Big data ; Data mining ; Electronic videos ; local
    Abstract: "Machine-learning expert Mikio Braun moves budding data scientists into the world of big data with this overview of how to do complex data analysis at scale. You'll learn the general concepts behind machine learning, compare small scale and large scale data analysis algorithms, and review the basics of the architectures used in large-scale distributed processing. You'll then explore the use of Spark programming for data flow systems,and the many uses of approximation. Braun also outlines evaluation, feature extraction, and model-selection computing costs in big data analysis. The video closes with a discussion of the relationship between the amount of available data and the complexity of the learning problem. Review machine learning concepts such as fitting a model to data. Learn core concepts behind large scale algorithms like stochastic gradient descent; Review the architectures used in Hadoop-based systems and data flow systems; Explore resilient distributed dataset structures, vectors, and matrices using Spark; Review Sparks's machine libraries and how to run basic machine learning tasks; Understand the use of approximation in optimization and compressing feature spaces; Learn what makes data 'complex.' Mikio Braun is a data scientist researcher, a start-up entrepreneur, and the on-going creator of jblas, the open source library for fast linear algebra in Java. He has a Ph.D. in Computer Science, and works at Zalando."--Resource description page.
    Note: Title from title screen (viewed December 29, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 55
    Online Resource
    Online Resource
    Moving from jQuery to AngularJS : MVC pattern approaches for web development (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374996
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 43 min., 21 sec.)) , digital, sound, color
    Keywords: AngularJS (Software framework) ; Web site development ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "In this Moving from jQuery to AngularJS training course, expert author Tom Bitterman will teach you how to move from jQuery to AngularJS web development. This course is designed for users that already have experience with JavaScript and jQuery. You will start by learning about building the DOM, then jump into learning about the MVC pattern. From there, Tom will teach you about AngularJS, including controller syntax, controllers and functions, controllers and data, and JSON. Finally, this video tutorial will teach you about MVC with a server. Once you have completed this computer based training course, you will have gained a solid understanding of MVC and AngularJS, and how to incorporate it into your development toolkit. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed December 22, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 56
    Online Resource
    Online Resource
    Introduction to modern client-side programming : an introduction to ES6, web components, TypeScript, ReactJS, Meteor, and Angular 2 (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374842
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 11 min., 7 sec.)) , digital, sound, color
    Keywords: Web site development ; User interfaces (Computer systems) ; Programming ; Computer programming ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "In this Introduction to Modern Client-Side Programming training course, expert author Matt Frisbie will teach you about a number of new web development concepts. This course is designed for the absolute beginner, meaning no previous experience with any of these concepts is required. You will start by learning about ES6, then jump into learning about web components, including HTML imports and templates, shadow DOM, and custom elements. From there, Matt will teach you about TypeScript, ReactJS, and AngularJS 2. Finally, this video tutorial will teach you about Meteor. Once you have completed this computer based training course, you will have gained a solid understanding of these new web development concepts. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed October 12, 2015). - Publication date from resource description page
    URL: lizenzpflichtig
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  • 57
    Online Resource
    Online Resource
    Designing for discovery : faceted navigation (2014)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491915370
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 29 min., 29 sec.)) , digital, sound, color.
    Keywords: Web site development ; Web sites ; Design ; World Wide Web ; User interfaces (Computer systems) ; Internet searching ; Electronic videos ; local
    Abstract: "This hands-on video workshop shows you how to design faceted navigation, a powerful system that enables users to narrow their search results with filters. Host Jim Kalbach, Principal UX Designer with Citrix, also shows you how to design facets directly into your navigation, so that users can browse by facets before they even start to search. Faceted navigation improves the discoverability of your content dramatically throughout the entire user experience--but its design is more intricate than many people assume. You'll learn how to deal with many hidden challenges, such as displaying large amounts of metadata, determining where and how you should display filters, and creating simple interactions that average users will understand. Through exercises, examples (good and bad), and a clear, structured framework for understanding individual components, you'll learn how to include facets in your UI design, whether it's for desktop, mobile, or both."--Resource description page.
    Note: Title from title screen (viewed December 16, 2014)
    URL: lizenzpflichtig
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