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
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:- 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:- 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:- 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:- 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:- 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:- 2024-12-04
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:- 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:- 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:- 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:- 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:- 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:- 2019-12-11
Availability:- In Stock
This Redpaper introduces the integration between two IBM products that you might like to consider when implementing a modern agile solution on your Z systems. The document briefly introduces Operational Decision Manager on z/OS and Machine learning on..
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:- 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:- 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:- 2018-09-07
Availability:- In Stock
If you are looking for a complete beginners guide to learn machine learning with examples, in just a few hours, then you need to continue reading.Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable..
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:- 2026-06-03
Availability:- In Stock
Machine Learning at Scale explores the architecture, infrastructure, and operational practices required to build and manage enterprise-grade machine learning systems. The book covers real-time feature engineering, distributed training, model serving,..
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:- 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 underlies a..
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..
Release Date:- 2018-02-02
Availability:- In Stock
Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only ..
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:- 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:- 2022-03-01
Availability:- In Stock
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) thr..
Release Date:- 2019-05-30
Availability:- In Stock
A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine learning and how to put them to work in financial industries Clear explanation and expert discussion of how machine..
