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  • Joshi, Prateek  (10)
  • Schwartz, Marco  (6)
  • Birmingham, UK : Packt Publishing  (16)
  • [Erscheinungsort nicht ermittelbar] : Frontiers Media SA
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  • 1
    Online-Ressource
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    Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789800753 , 1789800757
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Book Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system Who this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is w...
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789808452/?ar
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  • 2
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    Building computer vision projects with OpenCV4 and C++ : implement complex computer vision algorithms and explore deep learning and face detection (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781838641269 , 1838641262
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Serie: Learning path
    Schlagwort(e): Computer vision ; OpenCV (Computer program language) ; Image processing ; Computer algorithms ; Electronic books ; Electronic books ; local
    Kurzfassung: Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image classification Understand basic image matrix formats and filters Book Description OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millan Escriva Learn OpenCV 4 By Building Projects - Second Edition by David Millan Escriva, Vinicius G. Mendonca, and Prateek Joshi What you will learn Stay up-to-date with algorithmic design approaches for complex computer vision tasks Work with OpenCV's most up-to-date API through various projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay augmented reality (AR) using the ArUco module Create CMake scripts to compile your C++ application Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better ...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781838644673/?ar
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  • 3
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    OpenCV 3.x with Python by example : make the most of OpenCV and Python to build applications for object recognition and augmented reality (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788396769 , 1788396766
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Python (Computer program language) ; OpenCV (Computer program language) ; Computer vision ; Application software ; Development ; Cloud computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. About This Book Learn how to apply complex visual effects to images with OpenCV 3.x and Python Extract features from an image and use them to develop advanced applications Build algorithms to help you understand image content and perform visual searches Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Detect shapes and edges from images and videos How to apply filters on images and videos Use different techniques to manipulate and improve images Extract and manipulate particular parts of images and videos Track objects or colors from videos Recognize specific object or faces from images and videos How to create Augmented Reality applications Apply artificial neural networks and machine learning to improve object recognition In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular Ope...
    Anmerkung: Previous edition published: 2015. - Description based on online resource; title from title page (Safari, viewed February 21, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788396905/?ar
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  • 4
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    Learn OpenCV 4 by building projects : build real-world computer vision and image processing applications with OpenCV and C++ (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789347623 , 1789347629
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Computer vision ; OpenCV (Computer program language) ; Image processing ; Computer algorithms ; Electronic books ; Electronic books ; local
    Kurzfassung: Explore OpenCV 4 to create visually appealing cross-platform computer vision applications Key Features Understand basic OpenCV 4 concepts and algorithms Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks Work with Tesseract OCR, an open-source library to recognize text in images Book Description OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you're completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects ? Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You'll begin with the installation of OpenCV and the basics of image processing. Then, you'll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch. What you will learn Install OpenCV 4 on your operating system Create CMake scripts to compile your C++ application Understand basic image matrix formats and filters Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Employ various techniques to track objects in a live video Work with new OpenCV functions for text detection and recognition with Tesseract Get acquainted with important deep learning tools for image classification Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 1, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781789341225/?ar
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  • 5
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    Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781786469670 , 1786469677
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Artificial intelligence ; Data processing ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guid...
    Anmerkung: Description based on online resource; title from cover (Safari, viewed March 3, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781786464392/?ar
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  • 6
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    ESP8266 Internet of Things cookbook : over 50 recipes to help you master the ESP8266's functionality (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787283558 , 1787283550
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Electronic apparatus and appliances ; Design and construction ; Wireless LANs ; Internet of things ; Electronic books ; Electronic books ; local
    Kurzfassung: Exploring the low cost WiFi module About This Book Leverage the ESP8266's on-board processing and storage capability Get hand- on experience of working on the ESP8266 Arduino Core and its various libraries A practical and enticing recipe-based book that will teach you how to make your environment smart using the ESP8266 Who This Book Is For This book is targeted at IOT enthusiasts who are well versed with electronics concepts and have a very basic familiarity with the ESP8266. Some experience with programming will be an advantage. What You Will Learn Measure data from a digital temperature and humidity sensor using the ESP8266 Explore advanced ESP8266 functionalities Control devices from anywhere in the world using MicroPython Troubleshoot issues with cloud data monitoring Tweet data from the Arduino board Build a cloud-connected power-switch with the ESP8266 Create an ESP8266 robot controlled from the cloud In Detail The ESP8266 Wi-Fi Module is a self contained System on Chip (SOC) with an integrated TCP/IP protocol stack and can give any microcontroller access to your Wi-Fi network. It is capable of either hosting an application or offloading all Wi-Fi networking functions from another application processor. This book contains practical recipes that will help you master all ESP8266 functionalities. You will start by configuring and customizing the chip in line with your requirements. Then you will focus on core topics such as on-board processing, sensors, GPIOs, programming, networking, integration with external components, and so on. We will also teach you how to leverage Arduino using the ESP8266 and you'll learn about its libraries, file system, OTA updates, and so on. The book also provide recipes on web servers, testing, connecting with the cloud, and troubleshooting techniques. Programming aspects include MicroPython and how to leverage it to get started with the ESP8266. Towards the end, we will use these concepts and create an interesting project (IOT). By the end of the book, readers will be proficient enough to use the ESP8266 board efficiently. Style and approach This recipe-based book will teach you to build projects using the ESP8266.
    Anmerkung: Includes index. - Description based on online resource; title from cover (viewed May 16, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781787288102/?ar
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  • 7
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    Python machine learning cookbook : 100 recipes that teach you how to perform various machine learning tasks in the real world (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781786467683 , 1786467682
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Quick answers to common problems
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: 100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide Learn about perceptrons and see how they are used to build neural networks Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code. What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. Style and approach ...
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed July 12, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781786464477/?ar
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  • 8
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    Internet of things with Arduino cookbook : over 60 recipes will help you build smart IoT solutions and surprise yourself with captivating IoT projects you thought only existed in Bond movies (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785883316 , 1785883313
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Arduino (Programmable controller) ; Programming ; Arduino (Programmable controller) ; Internet of things ; Electronic books ; Electronic books ; local
    Kurzfassung: Over 60 recipes will help you build smart IoT solutions and surprise yourself with captivating IoT projects you thought only existed in Bond movies About This Book This book offers key solutions and advice to address the hiccups faced when working on Arduino-based IoT projects in the real world Take your existing skills and capabilities to the next level by building challenging IoT applications with ease. Be the tech disruptor you always wanted to be with key recipes that help you solve Arduino IoT related problems smarter and faster. Put IoT to work through recipes on building Arduino-based devices that take control of your home, health, and life! Who This Book Is For This book is primarily for tech enthusiasts and early IoT adopters who would like to make the most of IoT and address the challenges encountered while developing IoT-based applications with Arduino. This book is also good for developers with basic electronics knowledge who need help to successfully build Arduino projects. What You Will Learn Monitor several Arduino boards simultaneously Tweet sensor data directly from your Arduino board Post updates on your Facebook wall directly from your Arduino board Create an automated access control with a fingerprint sensor Control your entire home from a single dashboard Make a GPS tracker that you can track in Google Maps Build a live camera that streams directly from your robot In Detail Arduino is a powerful and very versatile platform used by millions of people around the world to create DIY electronics projects. It can be connected to a wide variety of sensors and other components, making it the ideal platform to build amazing Internet of Things (IoT) projects on - the next wave in the era of computing. This book takes a recipe-based approach, giving you precise examples on how to build IoT projects of all types using the Arduino platform. You will come across projects from several fields, including the popular robotics and home automation domains. Along with being introduced to several forms of interactions within IoT, including projects that directly interact with well-known web services such as Twitter, Facebook, and Dropbox we will also focus on Machine-to-Machine (M2M) interactions, where Arduino projects interact without any human intervention. You will learn to build a few quick and easy-to-make fun projects that will really expand your horizons in the world of IoT and Arduino. Each chapter ends with a troubleshooting recipe t...
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed October 19, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781785286582/?ar
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  • 9
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    Internet of Things with ESP8266 : build amazing Internet of Things projects using the ESP8266 Wi-Fi chip (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781786466679 , 1786466678
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Electronic apparatus and appliances ; Design and construction ; Wireless LANs ; Internet of things ; Electronic books ; Electronic books ; local
    Kurzfassung: Build amazing Internet of Things projects using the ESP8266 Wi-Fi chip About This Book Get to know the powerful and low cost ESP8266 and build interesting projects in the field of Internet of Things Configure your ESP8266 to the cloud and explore the networkable modules that will be utilized in the IoT projects This step-by-step guide teaches you the basics of IoT with ESP8266 and makes your life easier Who This Book Is For This book is for those who want to build powerful and inexpensive IoT projects using the ESP8266 WiFi chip, including those who are new to IoT, or those who already have experience with other platforms such as Arduino. What You Will Learn Control various devices from the cloud Interact with web services, such as Twitter or Facebook Make two ESP8266 boards communicate with each other via the cloud Send notifications to users of the ESP8266, via email, text message, or push notifications Build a physical device that indicates the current price of Bitcoin Build a simple home automation system that can be controlled from the cloud Create your own cloud platform to control ESP8266 devices In Detail The Internet of Things (IoT) is the network of objects such as physical things embedded with electronics, software, sensors, and connectivity, enabling data exchange. ESP8266 is a low cost WiFi microcontroller chip that has the ability to empower IoT and helps the exchange of information among various connected objects. ESP8266 consists of networkable microcontroller modules, and with this low cost chip, IoT is booming. This book will help deepen your knowledge of the ESP8266 WiFi chip platform and get you building exciting projects. Kick-starting with an introduction to the ESP8266 chip, we will demonstrate how to build a simple LED using the ESP8266. You will then learn how to read, send, and monitor data from the cloud. Next, you'll see how to control your devices remotely from anywhere in the world. Furthermore, you'll get to know how to use the ESP8266 to interact with web services such as Twitter and Facebook. In order to make several ESP8266s interact and exchange data without the need for human intervention, you will be introduced to the concept of machine-to-machine communication. The latter part of the book focuses more on projects, including a door lock controlled from the cloud, building a physical Bitcoin ticker, and doing wireless gardening. You'll learn how to build a cloud-based ESP8266 home automation system and a clo...
    Anmerkung: Includes index. - Description based on online resource; title from cover (viewed August 25, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781786468024/?ar
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  • 10
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    Building smart homes with Raspberry Pi Zero : build revolutionary and incredibly useful home automation projects with the all-new Pi Zero (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781786469861 , 1786469863
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Raspberry Pi (Computer) ; Programming ; Home automation ; Electronic books ; Electronic books ; local
    Kurzfassung: Build revolutionary and incredibly useful home automation projects with the all-new Pi Zero About This Book Create and program home automation projects using the Raspberry Pi Zero board Connect your Raspberry Pi Zero to a cloud API, and then build a cloud dashboard to control your devices Integrate all the projects into a complex project to automate key aspects of your home: data monitoring, devices control, and security Who This Book Is For This book is for enthusiasts and programmers who want to build powerful and inexpensive home automation projects using the Raspberry Pi zero, and to transform their home into a smart home. It is for those who are new to the field of home automation, or who already have experience with other platforms such as Arduino. What You Will Learn Learn how to measure and store data using the Raspberry Pi Zero board Control LED lights, lamps, and other electrical applications Send automated notifications by e-mail, SMS, or push notifications Connect motion detectors, cameras, and alarms Create automated alerts using Raspberry Pi Zero boards Control devices using cloud-based services Build a complete home automation system using Pi Zero In Detail The release of the Raspberry Pi Zero has completely amazed the tech community. With the price, form factor, and being high on utility - the Raspberry Pi Zero is the perfect companion to support home automation projects and makes IoT even more accessible. With this book, you will be able to create and program home automation projects using the Raspberry Pi Zero board. The book will teach you how to build a thermostat that will automatically regulate the temperature in your home. Another important topic in home automation is controlling electrical appliances, and you will learn how to control LED Lights, lamps, and other electrical applications. Moving on, we will build a smart energy meter that can measure the power of the appliance, and you'll learn how to switch it on and off. You'll also see how to build simple security system, composed of alarms, a security camera, and motion detectors. At the end, you will integrate everything what you learned so far into a more complex project to automate the key aspects of your home. By the end, you will have deepened your knowledge of the Raspberry Pi Zero, and will know how to build autonomous home automation projects. Style and approach This book takes a step-by-step approach to automate your home like never before!
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed November 4, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781786466952/?ar
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  • 11
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    Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787120679 , 1787120678
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and fea...
    Anmerkung: Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed December 6, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781787123212/?ar
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  • 12
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    OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787123847 , 1787123847
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Learning path
    Schlagwort(e): Computer vision ; Image processing ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ...
    Anmerkung: Authors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 4, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781787125490/?ar
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  • 13
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    Arduino : building exciting LED based projects and espionage devices : transform your tiny device into a secret agent gadget by designing and building fantastic devices and creative LED-based projects using the Arduino platform : a course in three modules (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787124530 , 1787124533
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Learning path
    Schlagwort(e): LED lighting ; Arduino (Programmable controller) ; Programmable controllers ; Electronic books ; Electronic books ; local
    Kurzfassung: Find out how to transform your Arduino device into an awesome secret agent gadget with this course, taking in everything from robotics to remote control cameras About This Book This course won't just teach you. It will help you apply your knowledge so you can get creative ? quickly! Find out how to make a computer interact with the real-world ? you'll be learning the basics of IoT without realizing it. Robots. A sound controlled Christmas tree. This course proves anything is possible with an Arduino! Who This Book Is For Seeking inspiration? This course will help you get creative with your Arduino quickly. What You Will Learn Find out how to explore the full potential of your tiny Arduino Find out how to bridge the gap between the real world and software, as you gather and visualize data from the environment Create simple servers to allow communication to occur Transform your Arduino into a GPS tracker Use the Arduino to monitor top secret data Build a complete spy robot! In Detail An Arduino might be a tiny computer but it can be used as the foundation for a huge range of projects. In this course, we'll show you how just some of the projects that are possible with an Arduino. From robotics to secret agent gadgets, we're pretty confident that this course will get you thinking creatively ? and inspire you to create your very own new projects using the Arduino hacking skills you learn. This course, combines both text and video content ? it's made up of three modules to help organize your learning. In the first module we'll show you how to build three different Arduino projects. All of these will not only get you up and running with something practical, they'll also help you better understand how the Arduino works. Find out how to develop a home automation system and even build a robot! In the second module we'll go one step further to help you get creative as you learn how to program LEDs with your Arduino. You'll find out how to build a mood lamp and a remote-controlled TV backlight, before going on to make a sound controlled LED Christmas tree that makes use of sound visualization. Finally, the third module takes you from stylish design into espionage, as you learn how to create neat secret agent gadgets with your Arduino. Find out how to build an alarm system, a fingerprint sensor, even open a lock with a text message. And that's not all ? but to find out more you'll have to dive in! This Learning Path combines some of the best that Packt has...
    Anmerkung: Authors: Adith Jagdish Boloor, Samarth Shah, Utsav Shah, Marco Schwartz. Cf. Credits page. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 1, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781787121072/?ar
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  • 14
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    OpenCV by example : enhance your understanding of computer vision and image processing by developing real-world projects in OpenCV 3 (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785287077 , 1785287079
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): Computer vision ; Image processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images Who This Book Is For If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required. What You Will Learn Install OpenCV 3 on your operating system Create the required CMake scripts to compile the C++ application and manage its dependencies Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters Understand the segmentation and feature extraction techniques Remove backgrounds from a static scene to identify moving objects for video surveillance Track different objects in a live video using various techniques Use the new OpenCV functions for text detection and recognition with Tesseract In Detail Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision application...
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed Feburary 9, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781785280948/?ar
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  • 15
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    OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python (2015)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781785289873 , 178528987X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    DDC: 005.133
    Schlagwort(e): Python (Computer program language) ; Computer vision ; Application software ; Development ; Cloud computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac...
    Anmerkung: Includes index. - Description based on online resource; title from cover page (Safari, viewed October 13, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781785283932/?ar
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  • 16
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    Programming Arduino with LabVIEW : build interactive and fun learning projects with Arduino using LabVIEW (2015)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781849698238 , 1849698236
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): LabVIEW ; Arduino (Programmable controller) ; Programming ; Electronic books ; Electronic books ; local
    Kurzfassung: Build interactive and fun learning projects with Arduino using LabVIEW In Detail This book covers several projects that you can build using LabVIEW and Arduino. You will learn how to use LabVIEW to control your Arduino projects simply by dragging and dropping blocks in LabVIEW. The book starts with some basic projects that you will create in order to learn how to interface LabVIEW and Arduino. For example, you will learn how to control a motor from the LabVIEW interface. Then, the book dives into more complex projects, such as building a weather measurement station, making a simple alarm system, and controlling a mobile robot wirelessly via LabVIEW. Going through the projects of this book will allow you to automate your Arduino projects without writing a single line of code, therefore creating complex projects in little time. What You Will Learn Install LabVIEW and set it up to interface with Arduino Automate your Arduino projects with LabVIEW via a USB cable or XBee Control a servo motor and a smart power switch from LabVIEW Make a simple weather measurement station using Arduino and LabVIEW Build a simple wireless alarm system Manoeuvre an Arduino-based robot wirelessly via LabVIEW Collect feedback from the robot sensors using Arduino and LabVIEW
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed February 13, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781849698221/?ar
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