Release Date:- 2025-09-02
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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:- 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:- 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:- 2025-04-09
Availability:- In Stock
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:- 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:- 2023-01-01
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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:- 2015-05-12
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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:- 2020-11-18
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Manusia adalah makhluk pembelajar yang memiliki kemampuan belajar yang sangat luar biasa. Proses pembelajaran tersebut telah dimulai sejak dia dilahirkan sampai akhir hayatnya. Seiring bertambah usia, manusia mulai mempelajari bagaimana cara berjalan,..
Release Date:- 2017-10-03
User Average Rating:- 4.5
Availability:- In Stock
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:- 2022-05-17
Availability:- In Stock
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:- 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:- 2025-10-22
Availability:- In Stock
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:- 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:- 2014-10-08
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A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical..
Release Date:- 2019-11-18
Availability:- In Stock
Machine Learning is an upcoming field with wide usage in dayto day life. There are a lot of problems which Machine learningsolves using a combination of statistics and a wide array ofdifferent algorithms. Here we aim at giving a brief introductionto a ..
Release Date:- 2014-05-31
Availability:- In Stock
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive..
Release Date:- 2012-02-13
Availability:- In Stock
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles..
Release Date:- 2016-12-28
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This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions..
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:- 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:- 2021-10-12
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Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably..
Release Date:- 2016-01-30
Availability:- In Stock
Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book • Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark..
Release Date:- 2013-10-25
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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from..
Release Date:- 2020-10-15
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The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These..
Release Date:- 2015-07-31
Availability:- In Stock
Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying aw..
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..
