Release Date:- 2019-05-17
Availability:- In Stock
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:- 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:- 2025-09-15
Availability:- In Stock
The AI revolution is reshaping software development—and mid-career engineers are feeling the pressure.Roles once seen as untouchable are now at risk, while younger, AI-native developers surge ahead with fresh skills and confidence.If you're worried abou..
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:- 2024-03-04
Availability:- In Stock
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
Availability:- In Stock
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:- 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:- 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:- 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:- 2022-05-17
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:- 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:- 2021-01-12
Availability:- In Stock
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learningWhile machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the ..
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:- 2021-08-17
Availability:- In Stock
MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning underl..
Release Date:- 2020-10-01
Availability:- In Stock
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build..
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:- 2025-04-10
Availability:- In Stock
This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis. This book not only covers the essential..
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:- 2021-11-23
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:- 2019-11-14
Availability:- In Stock
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:- 2019-01-13
User Average Rating:- 4
Availability:- In Stock
Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: "Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing..
Release Date:- 2021-03-13
Availability:- In Stock
Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the..
Release Date:- 2014-09-26
Availability:- In Stock
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:- 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:- 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:- 2017-11-20
Availability:- In Stock
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book pres..
Release Date:- 2013-10-25
Availability:- In Stock
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..
Release Date:- 2020-02-17
Availability:- In Stock
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..
