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:- 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:- 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:- 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:- 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:- 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:- 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:- 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:- 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:- 2020-11-18
Availability:- In Stock
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:- 2021-12-28
Availability:- In Stock
Discover valuable machine learning techniques you can understand and apply using just high-school math.In Grokking Machine Learning you will learn: Supervised algorithms for classifying and splitting data Methods for c..
Release Date:- 2016-11-10
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only compreh..
Release Date:- 2012-08-24
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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:- 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:- 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:- 2020-02-19
Availability:- In Stock
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:- 2014-09-26
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Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you..
Release Date:- 2019-04-04
Availability:- In Stock
Python makes machine learning easy for beginners and experienced developersWith computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks tha..
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:- 2021-11-23
Availability:- In Stock
Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.Summary In Machine Learning Bookcamp you will: Collect an..
Release Date:- 2016-01-30
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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:- 2016-12-28
Availability:- In Stock
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:- 2024-08-12
Availability:- In Stock
"Machine Learning with PyTorch: From Basics to Expert Proficiency" is an indispensable guide for anyone aspiring to master the art and science of machine learning using PyTorch, one of the most powerful and flexible frameworks available today. This meticulously..
Release Date:- 2016-08-19
Availability:- In Stock
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides..
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
Availability:- In Stock
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..
