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:- 2024-06-28
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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:- 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:- 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:- 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
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:- 2021-08-17
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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:- 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:- 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:- 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:- 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:- 2025-04-08
User Average Rating:- 4.5
Availability:- In Stock
Shortlisted for the FT and Schroders Business Book of the Year Award“A lively biography. . . . The story of how Nvidia became the hottest investment on Wall Street and a household name is fascinating.” —Katie Notopoulos, The New York Times Bo..
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
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:- 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:- 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:- 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:- 2021-01-19
Availability:- In Stock
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:- 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:- 2018-03-15
Availability:- In Stock
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:- 2016-11-10
Availability:- In Stock
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:- 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:- 2015-07-31
Availability:- In Stock
Build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R About This Book • Harness the power of R for statistical computing and data science • Explore, forecast, and classify data with R • Use R to apply..
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:- 2020-07-31
Availability:- In Stock
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio.Purchase of the print or Kindl..
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:- 2015-02-20
Availability:- In Stock
If you are a Scala, Java, or Python developer with an interest in machine learning and data analysis and are eager to learn how to apply common machine learning techniques at scale using the Spark framework, this is the book for you. While it may be useful..
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..