machine learning with tensorflow

Python Machine Learning: A Step-by-Step Journey with Scikit-Learn and Tensorflow for Beginners【電子書籍】 Chloe AnnableHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】 Aur lien G ronComputer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow【電子書籍】 Matthew ReverBuilding Machine Learning Systems with Python Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition【電子書籍】 Luis Pedro CoelhoHands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】 Giuseppe Bonaccorso洋書 Paperback, Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and moreMastering Computer Vision with TensorFlow 2.x Build advanced computer vision applications using machine learning and deep learning techniques【電子書籍】 Krishnendu Kar洋書 Paperback, Hands-On Machine Learning with TensorFlow.js: A guide to building ML applications integrated with web technology using the TensorFlow.js libraryApplied Deep Learning with Python Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions【電子書籍】 Alex Galea洋書 TensorFlow Machine Learning Cookbook: Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook洋書 Paperback, Machine Learning with TensorFlowPython Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition【電子書籍】 Sebastian RaschkaTinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers【電子書籍】 Pete WardenBeginning Machine Learning in the Browser Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js【電子書籍】 Nagender Kumar SuryadevaraMachine Learning with Python Master pandas, scikit-learn, and TensorFlow for Building Smart IA Models【電子書籍】 Joseph T. HandyHands-On Machine Learning with TensorFlow.js A guide to building ML applications integrated with web technology using the TensorFlow.js library【電子書籍】 Kai SasakiMachine Learning Concepts with Python and the Jupyter Notebook Environment Using Tensorflow 2.0【電子書籍】 Nikita SilaparasettyArtificial Neural Networks with TensorFlow 2 ANN Architecture Machine Learning Projects【電子書籍】 Poornachandra Sarang洋書 TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd EditionPython Machine Learning A Practical Beginner 039 s Guide to Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit-Learn, Tensorflow and Keras【電子書籍】 Railey Brandon
 

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  • <p>**Are you a budding programmer eager to delve into the realm of Python Machine Learning?</p> <p>Does the prospect of transitioning your existing programming knowledge to Python leave you perplexed?**</p> <p>Fear not! This comprehensive guide is tailored to address precisely those concerns and assist you in navigating through the intricacies of Python Machine Learning.</p> <p>In "Python Machine Learning: A Comprehensive Beginner's Guide with Scikit-Learn and Tensorflow," you will embark on a journey to unravel the mysteries of:</p> <p>Understanding the essence of machine learning</p> <p>Harnessing the power of Scikit-Learn & Tensorflow</p> <p>Grasping the significance of the 5 V's of Big Data</p> <p>Delving into the world of neural networks using Scikit-Learn</p> <p>Exploring the intersection of machine learning and the Internet of Things (IoT)</p> <p>Implementing the KNN algorithm with precision</p> <p>Deciphering the nuances of determini...
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  • <p>Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.</p> <p>With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.</p> <ul> <li>Use Scikit-learn to track an example ML project end to end</li> <li>Explore several models, including support vector machines, decision tre...
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  • <p><strong>Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos</strong></p> <h4>Key Features</h4> <ul> <li>Implement image classification and object detection using machine learning and deep learning</li> <li>Perform image classification, object detection, image segmentation, and other Computer Vision tasks</li> <li>Crisp content with a practical approach to solving real-world problems in Computer Vision</li> </ul> <h4>Book Description</h4> <p>Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.</p> <p>With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cuttin...
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  • <p><strong>Get more from your data by creating practical machine learning systems with Python</strong></p> <h4>Key Features</h4> <ul> <li>Develop your own Python-based machine learning system</li> <li>Discover how Python offers multiple algorithms for modern machine learning systems</li> <li>Explore key Python machine learning libraries to implement in your projects</li> </ul> <h4>Book Description</h4> <p>Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems.</p> <p>Using machine learning to gain deeper insights from data is a key skill required by moder...
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  • <p><strong>Discover the skill-sets required to implement various approaches to Machine Learning with Python</strong></p> <h4>Key Features</h4> <ul> <li>Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more</li> <li>Build your own neural network models using modern Python libraries</li> <li>Practical examples show you how to implement different machine learning and deep learning techniques</li> </ul> <h4>Book Description</h4> <p>Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.</p> <p>This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used librarie...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language</strong></p> <h4>Key Features</h4> <ul> <li>Gain a fundamental understanding of advanced computer vision and neural network models in use today</li> <li>Cover tasks such as low-level vision, image classification, and object detection</li> <li>Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit</li> </ul> <h4>Book Description</h4> <p>Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding ho...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>A hands-on guide to deep learning that’s filled with intuitive explanations and engaging practical examples</strong></p> <h4>Key Features</h4> <ul> <li>Designed to iteratively develop the skills of Python users who don’t have a data science background</li> <li>Covers the key foundational concepts you’ll need to know when building deep learning systems</li> <li>Full of step-by-step exercises and activities to help build the skills that you need for the real-world</li> </ul> <h4>Book Description</h4> <p>Taking an approach that uses the latest developments in the Python ecosystem, you’ll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We’ll explore a variety of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your understanding before we move into more complex...
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.</strong></p> <p><strong>Purchase of the print or Kindle book includes a free eBook in the PDF format.</strong></p> <h4>Key Features</h4> <ul> <li>Third edition of the bestselling, widely acclaimed Python machine learning book</li> <li>Clear and intuitive explanations take you deep into the theory and practice of Python machine learning</li> <li>Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices</li> </ul> <h4>Book Description</h4> <p>Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.</p> <p>Packed with clear explanations, visual...
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  • <p>Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in sizeーsmall enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.</p> <p>Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.</p> <ul> <li>Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures</li> <li>Work with Arduino and ultra-low-power microcontrollers</li> <li>Learn the essentials of ML and how to train your own models</li> <li>Train m...
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  • <p>Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.</p> <p>Using JavaScript programming features along with standard libraries, you'll first learn to design and develop interactive graphics applications. Then move further into neural systems and human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be emphasized.</p> <p>After conquering the fundamentals, you'll dig into the wilderness of ML. Employ the ML and Processing (P5) libraries for Human Gait analysis. Building up Gait recognition with themes, you'll come to understand a variety of...
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  • <p><strong>About the Technology:</strong></p> <p>Machine learning is revolutionizing the world, and Python is the language of choice for its development. This book equips you with the essential tools - pandas, scikit-learn, and TensorFlow - to build and deploy intelligent applications.</p> <p>Written by seasoned practitioners, this book combines clear explanations with practical exercises, helping you gain hands-on experience and build real-world skills.</p> <p><strong>Summary of the Book:</strong></p> <p>Master data manipulation and analysis with pandas, the workhorse for data science in Python.</p> <p>Leverage scikit-learn, a powerful library for building a variety of machine learning models, from classification to regression and clustering.</p> <p>Delve into TensorFlow, a leading framework for deep learning, enabling you to create sophisticated neural networks for complex tasks.</p> <p><strong>What's Inside:</strong></p> <p>Explore co...
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  • <p><strong>Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively</strong></p> <h4>Key Features</h4> <ul> <li>Build, train and run machine learning models in the browser using TensorFlow.js</li> <li>Create smart web applications from scratch with the help of useful examples</li> <li>Use flexible and intuitive APIs from TensorFlow.js to understand how machine learning algorithms function</li> </ul> <h4>Book Description</h4> <p>TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.</p> <p>Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book...
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  • <ul> <li></li> </ul> <p>Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE.</p> <p>You’ll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, you’ll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book.</p> <p>Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier...
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  • <p>Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.</p> <p>After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architecturesーstarting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis.</p> <p>This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application t...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>★☆**Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes?**☆★</p> <p>If you responded yes to any of the above questions, you have come to the right place.</p> <p>Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that.</p> <p>Machine learning and artificial intelligence have been used in different machines and applications to improve the user's experience. One can also use machine learning to make data analysis and predicting the output for some data sets easy. All you need to do is choose the right algorithm, train the model and test the model before you apply it on any real-world tool. It is that simple isn't it?</p> <p><strong>★★Apart from this, you will also learn m...
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