Release Date:- 2025-09-30
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Master the Mathematical Foundation Every Machine Learning Engineer NeedsAre you implementing machine learning algorithms without truly understanding the mathematical principles that power them? Do complex ML concepts feel like black boxes because you..
Release Date:- 2025-09-02
Availability:- In Stock
Book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first-principles. The output of each notebook is a visualization of the machine learning algorithm throughout its training phase, ultimately converging..
Release Date:- 2024-03-04
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This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key..
Release Date:- 2019-05-17
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This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of..
Release Date:- 2022-10-04
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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..
Release Date:- 2017-10-03
User Average Rating:- 4
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A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogyHugh Howey is known for crafting riveting and immersive page-turner..
Release Date:- 2025-04-09
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This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing..
Release Date:- 2023-07-24
Availability:- In Stock
This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents..
Release Date:- 2018-12-07
Availability:- In Stock
This report gives an introduction to the subject of artificial intelligence (AI) and suggestions for how the healthcare sector can begin to explore and understand it. The authors have studied the options for offering automated decision-making support..
Release Date:- 2024-06-28
Availability:- In Stock
Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectivelyKey FeaturesUnderstand key concepts, from fundamentals through to complex topics, via a methodical approac..
Release Date:- 2023-01-01
Availability:- In Stock
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two f..
Release Date:- 2022-05-17
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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In..
Release Date:- 2025-10-22
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The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects..
Release Date:- 2024-12-04
Availability:- In Stock
Unravels common myths and simplifies complex ideas about AI, Machine Learning, Deep Learning, and Generative AI. This comprehensive e-book delves into the distinctions between Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL),..
Release Date:- 2012-08-24
Availability:- In Stock
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing m..
Release Date:- 2015-05-12
Availability:- In Stock
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure.This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer c..
Release Date:- 2022-04-30
Availability:- In Stock
‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers w..
Release Date:- 2024-06-20
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This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber- Physical Systems, which..
Release Date:- 2020-02-17
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Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common..
Release Date:- 2018-03-15
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AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly ExcellenceMachine Learning: a Concise Introduction offers..
Release Date:- 2027-07-13
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A practical, experiment-driven introduction to deep learning that shows programmers how modern neural networks actually work by running, inspecting, and reasoning about real models, from foundational concepts through large language models.Code First Machi..
Release Date:- 2019-11-14
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Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians..
Release Date:- 2020-02-19
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Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean..
Release Date:- 2018-10-30
Availability:- In Stock
Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare analytics projects using real-world datasets Implement key machine learning algorithms using a range of libraries..
Release Date:- 2015-09-23
Availability:- In Stock
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book • Leverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualization • Learn effective..
Release Date:- 2014-04-24
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A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated. This book is intended for Clojure developer..
Release Date:- 2015-04-02
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This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization techniques – together with the Bayesian inference approach, whose essence lies in the use..
Release Date:- 2023-08-15
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An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic M..
Release Date:- 2021-01-19
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A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language.Machine learning (also known as ML)..
Release Date:- 2015-06-16
Availability:- In Stock
The book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get..
