Machine learning Books

The universe is a secret mine of twelve energy assets concealed in planetary dimensions Endless resources in search to discover develop and connect our core innate potentials Big data processed on these mines are derived through science equations and...

Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in...

"Data Science and Analytics Essentials: The Revolution of Decision-Making: Leveraging Data in the Digital Age" is a comprehensive guide designed to demystify the intricate world of data science and analytics. This book delves into the transformative...

"A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications" is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their...

Large Scale Integration is a method for fabricating integrated circuits through fusing a large number of transistor basis circuits onto a single chip for instance microchip. Nowadays, every single chip is built by means of VLSI architecture. In ...

Advancements in deep learning, reinforcement learning, and generative AI have dramatically extended the toolkit of machine learning methods available to enterprise practitioners. This book provides a comprehensive guide to how marketing, supply chain,...

Growing specialization and diversification have brought a host of monographs and textbooks on increasingly specialized topics. Bowever, the "tree" of knowledge of mathematics and related fields does not grow only by putting...

This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. Key topics include an overview of explainable AI, black-box model understanding, interpretability techniques, practical XAI applications, and...

This book provides a detailed description of the topics related to XAI and Blockchain.

This book focuses on next generation sequencing, which is completely changing how we examine organisms and has a great impact on the areas of biomedical research and disease diagnosis.

Navigating Databricks with Ease for Unparalleled Data Engineering Insights.Book DescriptionUltimate Data Engineering with Databricks is a comprehensive handbook meticulously designed for professionals aiming to enhance their data engineering skills...

"Learning PyTorch 2.0, Second Edition" is a fast-learning, hands-on book that emphasizes practical PyTorch scripting and efficient model development using PyTorch 2.3 and CUDA 12. This edition is centered on practical applications and...

Relational methods can be found at various places in computer science, notably in data base theory, relational semantics of concurrency, relationaltype theory, analysis of rewriting systems, and modern programming ...

A new model-theoretic approach to universal algebra is offered in this book. Written for computer scientists, it presents a systematic development of the methods and results of universal algebra that are useful in a variety of...

This book assembles some of the most important problems and solutions in theoretical computer science-from computability, logic, circuit theory, and complexity. The book presents these important results with complete proofs in...

rd This book constitutes a collection of extended versions of papers presented at the 23 IFIP TC7 Conference on System Modeling and Optimization, which was held in C- cow, Poland, on July 23-27, 2007. It contains 7 plenary and...

The two-volume set LNCS 6852/6853 constitutes the refereed proceedings of the 17th International Euro-Par Conference held in Bordeaux, France, in August/September 2011. The 81 revised full papers presented were carefully...

This book presents a collection of 36 pieces of scientific work in the areas of complexity theory and foundations of cryptography: 20 research contributions, 13 survey articles, and 3 programmatic and reflective viewpoint statements. These so far...

Using formal methods for the specification and verification of hardware and software systems is becoming increasingly important as systems increase in size and complexity. The aim of the book is to illustrate progress in formal...

This book offers a comprehensive treatment of the classical decision problem of mathematical logic and of the role of the classical decision problem in modern computer science. The text presents a revealing analysis of the...

Code Generation - Concepts, Tools, Techniques is based upon the proceedings of the Dagstuhl workshop on code generation which took place from 20-24 May 1991. The aim of the workshop was to evaluate current methods of code...

From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of...

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...

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly. This fully revised and extended new edition explores the ever-evolving landscape of AI in business, towards...

Focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security. Considers recent advancements in AI and ML and their use in design, implementation, and optimization. Compiles and...

This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for academics and professionals. Combining theory and practice, the book presents several experimental results, all synthetic and real...

This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes...

Video Cataloguing explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data. It addresses the issues of video cataloguing,...

Polymorphic worm attacks are considered one of the top threats to Internet security. They can be used to delay networks, steal information, delete information, and launch flooding attacks against servers. This book supplies unprecedented coverage of how...

Paradoxes are poems of science and philosophy that collectively allow us to address broad multidisciplinary issues within a microcosm. A true paradox is a source of creativity and a concise expression that delivers a profound idea and provokes a wild and...

A thorough overview of multi-agent simulation and supporting tools, this book provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired...

The 1st International Conference on Intelligent Computation and Analytics on Sustainable Energy (ICICASEE 2023) was held at Ghani Khan Choudhury Institute of Engineering & Technology (GKCIET), Malda, West Bengal, India.

This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for...

This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis

Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigor with real-world impact, offering a comprehensive exploration of STEM experiences forged through the Partnership in...

Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation is a general and wide-ranging survey of Finance Transformation and Emerging Technologies.Written by two vastly experienced industry professionals, the book includes...

This book talks about science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of artificial intelligence (AI): from conversational systems like ChatGPT or...

This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024).

Examining a range of new practices for the PR industry, covering both principles and applications, this book will be of great value to students, academics and practitioners alike. It describes the nature of AI and projects its development, offering an...

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of AI. The book will be of particular interest to business stakeholders, including executives, scientists, ethicists and policymakers,...

This book presents ChatGPT as part of an ever-growing toolkit, and guides you on which tools to utilize and apply. This is a valuable workbook for those looking to harness and incorporate ChatGPT and generative AI into their work, studies, or general...