Machine Learning

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running...

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a...

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn't prove...

Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic...

In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a...

The aim of this textbook is to provide undergraduate students with an introduction to the basic theoretical models of computability, and to develop some of the model's rich and varied structure. Students who have already some experience with elementary...

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734467505Author Nick PsarisFormat PaperbackPage Count 416Imprint Vector SIGMAPublisher Vector SIGMAWeight(grams) 712gDimensions(mm) 235mm * 191mm * 22mm

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262046220Author Wendy Hui Kyong ChunFormat HardbackPage Count 312Imprint MIT PressPublisher MIT Press Ltd

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780805078534Author Hawkins, JeffFormat PaperbackPage Count 272Imprint St Martin's PressPublisher St Martin's PressWeight(grams) 245gDimensions(mm) 212mm *...

Embedded Analytics is one of the hottest trends in business intelligence right now. It's being used in multiple ways to improve decision making, provide faster insights, gain competitive advantages and grow revenue. Over the last 10 years, data...

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always...

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262042840Author Jacob EisensteinFormat HardbackPage Count 536Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 29mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262535205Author Hector J. LevesqueFormat PaperbackPage Count 192Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 203mm * 137mm * 14mm

Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical...

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262039406Author Mehryar MohriFormat HardbackPage Count 504Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 178mm * 32mm

Decision intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781777005467Author Andriy BurkovFormat HardbackPage Count 310Imprint True Positive Inc.Publisher True Positive Inc.Weight(grams) 934gDimensions(mm) 235mm *...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262038034Author Terrence J. SejnowskiFormat HardbackPage Count 352Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 152mm * 24mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047326Author Peter CottonFormat HardbackPage Count 216Imprint MIT PressPublisher MIT Press Ltd

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262047012Author Mykel J. KochenderferFormat HardbackPage Count 704Imprint MIT PressPublisher MIT Press Ltd

Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics,...

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781579550486Author Etienne BernardFormat PaperbackPage Count 424Imprint Wolfram Media IncPublisher Wolfram Media Inc

An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impactsPatterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable...

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide...

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of...

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality...

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, you'll learn machine...

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the...

Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. ...

Machine learning without advanced math! This book presents a serious, practical look at machine learning, preparing you for valuable insights on your own data. The Art of Machine Learning is packed with real dataset examples and sophisticated advice on...

Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789355519566Author Alan L. DennisFormat PaperbackPage Count 466Imprint BPB PublicationsPublisher BPB Publications

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781098156015Author Robert CroweFormat PaperbackPage Count 260Imprint O'Reilly MediaPublisher O'Reilly Media