Introduction To Machine Learning Concepts And Foundations

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Deep Learning

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Author : Christopher M. Bishop
language : en
Publisher: Springer Nature
Release Date : 2023-11-01

Deep Learning written by Christopher M. Bishop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time. The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study. A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code. Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University. “Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field.” -- Geoffrey Hinton "With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." – Yann LeCun “This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence.” -- Yoshua Bengio

Introduction To Machine Learning Concepts And Foundations

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Author : Mrs.R.Sasikala
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-11-05

Introduction To Machine Learning Concepts And Foundations written by Mrs.R.Sasikala and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-05 with Computers categories.

Mrs.R.Sasikala, Assistant Professor, PG & Research Department of Computer Science, National College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Ms.A.Malliga, Assistant Professor, PG & Research Department of Computer Science, National College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Mrs.E.Fathima Novseen, Assistant Professor, PG & Research Department of Computer Science, National College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Mrs.R.Vijayalakshmi, Assistant Professor, PG & Research Department of Computer Science, National College (Autonomous), Tiruchirappalli, Tamil Nadu, India.

Machine Learning Concepts Algorithms And Real World Applications

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Author : Dr.K.Dharmarajan
language : en
Publisher: Leilani Katie Publication
Release Date : 2026-02-18

Machine Learning Concepts Algorithms And Real World Applications written by Dr.K.Dharmarajan and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-18 with Computers categories.

Dr.K.Dharmarajan, Professor, Associate Director-Digital Infrastructure, Department of Computer Applications, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. Dr.K.Abirami, Assistant Professor & Research Coordinator, Department of Advanced Computing & Analytics, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. T.Haripriya, Research Scholar, Department of Computer Applications, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India.

Foundations Of Machine Learning

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Author : Mehryar Mohri
language : en
Publisher: MIT Press
Release Date : 2012-08-17

Foundations Of Machine Learning written by Mehryar Mohri and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-17 with Computers categories.

Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms. This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book. The book is intended for graduate students and researchers in machine learning, statistics, and related areas; it can be used either as a textbook or as a reference text for a research seminar.

Machine Learning And Neural Networks Essentials

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Author : Dr.R.Balamanigandan
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-12-27

Machine Learning And Neural Networks Essentials written by Dr.R.Balamanigandan and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.

Dr.R.Balamanigandan, Professor & Head, Department of Neural Networks, Institute of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.T.B.Sivakumar, Associate Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. Mr.S.Thumilvannan, Assistant Professor, Department of Computer Science and Engineering, Kings Engineering College, Chennai, Tamil Nadu, India. Mrs.A.Anto Sagaya Priscilla, Research Scholar, Department of Neural Networks, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.

Data Science For Decision Makers

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Author : Jon Howells
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26

Data Science For Decision Makers written by Jon Howells and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.

Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key Features Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF eBook Book DescriptionAs data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements. By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.What you will learn Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectively Who this book is for This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.

Artificial Intelligence And Machine Learning Transforming The Future

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Author : Ms. Ritwika Mukherjee
language : en
Publisher: Chyren Publication
Release Date : 2025-05-01

Artificial Intelligence And Machine Learning Transforming The Future written by Ms. Ritwika Mukherjee and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Antiques & Collectibles categories.

Machine Learning

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Author : Dr. Mohammad Anwarul Siddique, Dr. D. Venkata Siva Reddy, Dr. Ajith V S, Dr. Jyoti Singh
language : en
Publisher: BR Publications
Release Date : 2025-08-28

Machine Learning written by Dr. Mohammad Anwarul Siddique, Dr. D. Venkata Siva Reddy, Dr. Ajith V S, Dr. Jyoti Singh and has been published by BR Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-28 with Computers categories.

Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn patterns and make decisions from data without being explicitly programmed. It involves developing algorithms and statistical models that allow systems to automatically improve their performance through experience. ML techniques are widely used in diverse domains such as image and speech recognition, predictive analytics, healthcare, finance, and robotics. The major categories of ML include supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning.

Applied Artificial Intelligence Concepts Open Source Tools And Practical Applications

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Author : Dr. Ishaan Tamhankar, Dr. Abhishek R Mehta & Dr. Sindhu S Pandya
language : en
Publisher: Authors Click Publishing
Release Date : 2026-03-08

Applied Artificial Intelligence Concepts Open Source Tools And Practical Applications written by Dr. Ishaan Tamhankar, Dr. Abhishek R Mehta & Dr. Sindhu S Pandya and has been published by Authors Click Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-03-08 with Computers categories.

Artificial Intelligence and Machine Learning have rapidly transformed from emerging technologies into essential tools for solving real-world problems. With the growing availability of data, computing power, and open-source platforms, AI is no longer limited to research laboratories but is actively shaping industries, education, and everyday digital experiences. This book is designed to provide a balanced blend of conceptual understanding and practical implementation, enabling learners to not only understand AI concepts but also apply them effectively. The content of this book emphasizes Applied Artificial Intelligence, focusing on hands-on tools, real-life use cases, and practical chatbot development using Python. Each chapter is structured to gradually build knowledge, making the learning process systematic, intuitive, and industry-oriented.

Deep Learning On Graphs

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Author : Yao Ma
language : en
Publisher: Cambridge University Press
Release Date : 2021-09-23

Deep Learning On Graphs written by Yao Ma and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-23 with Computers categories.

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.