Found insideIn this book, experts from Google share best practices to help your organization design scalable and reliable systems that are fundamentally secure. Found insideWith this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Found insideAfter you complete this book, you will be excited to revamp your current projects or build new intelligent networks. This guide also helps you understand the many data-mining techniques in use today. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. Found inside – Page 1With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data ... This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and ... Found inside – Page iPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Found inside – Page iThis book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. Found insideAddressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi Found inside – Page iWho This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Found inside – Page 1About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Found insideAbout the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. Found insideWith this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach. Starting with the basics, you'll understand how ML models can be built on the web. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. This book is ideal for security engineers and data scientists alike. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. Found inside – Page iThis book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, ... Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Found insideThis book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You’ll begin at square one, learning how the web and web pages work, and then steadily build from there. About the Book Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. Found insideThis book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains. Found insideEvery chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. Found insideCognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, ... Found inside – Page iAbout the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Found inside – Page 1Its models run anywhere JavaScript runs, pushing ML farther up the application stack. About the book In Deep Learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. Found insideThis book is about making machine learning models and their decisions interpretable. Found insideThis book provides insights into research in the field of artificial intelligence in combination with robotics technologies. If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. 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 practical book shows you how. Found insideThis book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy ... 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. Found insideTechnical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT ... This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries. This book helps data scientists to level up their careers by taking ownership of data products with applied examples that demonstrate how to: Translate models developed on a laptop to scalable deployments in the cloud Develop end-to-end ... IPCC Report on sources, capture, transport, and storage of CO2, for researchers, policy-makers and engineers. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; ... How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. Found insideThis book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights from data to develop effective solutions for business problems. Found insideIdeal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial ... Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent ... This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Found inside – Page iBuild your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. Found inside – Page iThis book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. 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