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  • Alla, Sridhar  (3)
  • Johnson, Steve
  • MacDonald, Matthew
  • [Erscheinungsort nicht ermittelbar] : Apress  (5)
  • Electronic books ; local  (5)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Applied Data Science Using PySpark : Learn the End-to-End Predictive Model-Building Cycle (2020)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484265000
    Language: English
    Pages: 1 online resource (427 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines. By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets. What You Will Learn Build an end-to-end predictive model Implement multiple variable selection techniques Operationalize models Master multiple algorithms and implementations Who This Book is For Data scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.
    Note: Online resource; Title from title page (viewed December 17, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure (2020)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484265499
    Language: English
    Pages: 1 online resource (338 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. ​This book guides you through the process of data analysis, model construction, and training. The authors begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how to build logistic regression models in scikit-learn and PySpark, and you will go through the process of hyperparameter tuning with a validation data set. You will explore three different deployment setups of machine learning models with varying levels of automation to help you better understand MLOps. MLFlow is covered and you will explore how to integrate MLOps into your existing code, allowing you to easily track metrics, parameters, graphs, and models. You will be guided through the process of deploying and querying your models with AWS SageMaker, Google Cloud, and Microsoft Azure. And you will learn how to integrate your MLOps setups using Databricks. What You Will Learn Perform basic data analysis and construct models in scikit-learn and PySpark Train, test, and validate your models (hyperparameter tuning) Know what MLOps is and what an ideal MLOps setup looks like Easily integrate MLFlow into your existing or future projects Deploy your models and perform predictions with them on the cloud Who This Book Is For Data scientists and machine learning engineers who want to learn MLOps and know how to operationalize their models
    Note: Online resource; Title from title page (viewed December 7, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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  • 3
    Online Resource
    Online Resource
    Beginning Anomaly Detection Using Python-Based Deep Learning : With Keras and PyTorch (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251775
    Language: English
    Pages: 1 online resource (427 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will Learn Understand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection
    Note: Online resource; Title from title page (viewed October 10, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Beginning ASP.NET 4.5 in C♯ (2012)
    [Erscheinungsort nicht ermittelbar] : Apress
    Details
    ISBN: 9781430242529 , 1430242523
    Language: English
    Pages: 1 online resource (1 v.) , ill., ports.
    Series Statement: The expert's voice in .NET
    Parallel Title: Erscheint auch als
    Keywords: Active server pages ; Microsoft Visual C♯ ; Microsoft .NET ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: This book is the most comprehensive and up to date introduction to ASP.NET ever written. Focussing solely on C#, with no code samples duplicated in other languages, award winning author Matthew MacDonald introduces you to the very latest thinking and best practices for the ASP.NET 4.5 technology. Assuming no prior coding experience, you'll be taught everything you need to know from the ground up. Starting from first principals, you'll learn the skills you need to be an effective ASP.NET developer who is ready to progress to more sophisticated projects and professional work. You'll be taught how to use object orientation and code-behind techniques to lay out your code clearly in a way other developers can easily understand. You'll learn how to query databases from within you web pages, spice up your layouts using ASP.NET AJAX and deploy your finished websites to production servers. You'll also learn how to debug your code when things go wrong and the performance and scalability issues that can affect your web projects as they grow. With you book you can take your first step towards becoming a successful ASP.NET developer with confidence. What you'll learn Learn everything you need to know to build ASP.NET 4.5 applications with confidence. Dive into the deepest, broadest, introductory ASP.NET coverage available. Be guided by an award winning author who will steadily progress your knowledge from first principles to advanced techniques over the course of the book. Who this book is for This book is ideal for anyone new to .NET development who wants to learn how ASP.NET 4.5 works. No prior programming knowledge is assumed and all concepts are explained from first principals.
    Note: Includes index. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781430242512/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Beginning ASP.NET 4.5 in VB (2012)
    [Erscheinungsort nicht ermittelbar] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 v.) , ill., port.
    Series Statement: The expert's voice in .NET
    Parallel Title: Erscheint auch als
    Keywords: Active server pages ; Microsoft Visual BASIC ; Web site development ; Microsoft .NET ; Electronic books ; Electronic books ; local
    Abstract: This book is the most comprehensive and up to date introduction to ASP.NET ever written. Focusing solely on Visual Basic, with no code samples duplicated in other languages, award winning author Matthew MacDonald introduces you to the very latest thinking and best practices for the ASP.NET 4.5 technology. Assuming no prior coding experience, you'll be taught everything you need to know from the ground up. Starting from first principals, you'll learn the skills you need to be an effective ASP.NET developer who is ready to progress to more sophisticated projects and professional work. You'll be taught how to use object orientation and code-behind techniques to lay out your code clearly in a way other developers can easily understand. You'll learn how to query databases from within you web pages, spice up your layouts using ASP.NET AJAX and deploy your finished websites to production servers. You'll also learn how to debug your code when things go wrong and the performance and scalability issues that can affect your web projects as they grow. With this book you can take your first steps towards becoming a successful ASP.NET developer with confidence. What you'll learn Learn everything you need to know to build ASP.NET 4.5 applications with confidence. Dive into the deepest, broadest, introductory ASP.NET coverage available. Be guided by an award winning author who will steadily progress your knowledge from first principals to advanced techniques over the course of the book. Who this book is for This book is ideal for anyone new to .NET development who wants to learn how ASP.NET 4.5 works. No prior programming knowledge is assumed and all concepts are explained from first principals.
    Note: Includes index. - Description based on print version record
    URL: https://learning.oreilly.com/library/view/-/9781430243298/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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