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A Hands-On Introduction to Machine Learning, Chirag Shah


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Цена: 7762.00р.
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При оформлении заказа до: 2026-05-14
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Автор: Chirag Shah
Название:  A Hands-On Introduction to Machine Learning
ISBN: 9781009123303
Издательство: Cambridge Academ
Классификация:
ISBN-10: 1009123300
Обложка/Формат: Hardback
Страницы: 500
Вес: 1.20 кг.
Дата издания: 29.12.2022
Язык: English
Иллюстрации: Worked examples or exercises; worked examples or exercises
Размер: 235 x 157 x 25
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Knowledge management,Machine learning, COMPUTERS / Computer Vision & Pattern Recognition
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science.


An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Machine Learning for Beginners: An Introduction to Artificial Intelligence and Machine Learning

Автор: Slavio John
Название: Machine Learning for Beginners: An Introduction to Artificial Intelligence and Machine Learning
ISBN: 1922300152 ISBN-13(EAN): 9781922300157
Издательство: Неизвестно
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Цена: 4228.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

So you've heard a lot about AI and Machine learning. But what does it actually mean?
This book could be the answer you're looking for...

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning.

Here's What You'll Learn in this Book:

  • Introduction to Machine Learning
  • Different Applications of Machine Learning
  • Introduction to Statistics for Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforced Learning
  • Conclusion
An Introduction to Machine Learning

Автор: Gopinath Rebala; Ajay Ravi; Sanjay Churiwala
Название: An Introduction to Machine Learning
ISBN: 3030157288 ISBN-13(EAN): 9783030157289
Издательство: Springer
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Цена: 13415.00 р.
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Описание: Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic;Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning;Not tied to any specific software language or hardware implementation.

An Introduction to Machine Learning

Автор: Rebala Gopinath, Ravi Ajay, Churiwala Sanjay
Название: An Introduction to Machine Learning
ISBN: 3030157318 ISBN-13(EAN): 9783030157319
Издательство: Springer
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Цена: 15855.00 р.
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An Introduction to Machine Learning

Автор: Kubat Miroslav
Название: An Introduction to Machine Learning
ISBN: 3030819345 ISBN-13(EAN): 9783030819347
Издательство: Springer
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Цена: 7317.00 р.
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Описание: Julie Winkle Giulioni offers you a new approach for developing your employees` careers and helping them thrive in a company when promotions are not readily available. You will gain a new perspective on career development and practical tools through an easy-to-apply framework of seven alternative dimensions of development that will engage your employees.

Introduction to multiagent systems

Автор: Wooldridge, Michael
Название: Introduction to multiagent systems
ISBN: 0470519460 ISBN-13(EAN): 9780470519462
Издательство: Wiley
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Цена: 9021.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago.

A Brief Introduction to Continuous Evolutionary Optimization

Автор: Oliver Kramer
Название: A Brief Introduction to Continuous Evolutionary Optimization
ISBN: 3319034219 ISBN-13(EAN): 9783319034218
Издательство: Springer
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Цена: 7978.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. It presents heuristic extensions that allow optimization in constrained, multimodal and multi-objective solution spaces.

Hands-on machine learning with r

Автор: Boehmke, Brad, Brandon M. Greenwell
Название: Hands-on machine learning with r
ISBN: 1138495689 ISBN-13(EAN): 9781138495685
Издательство: Taylor&Francis
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Цена: 14086.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem solving.

Artificial Intelligence Basics: A Self-Teaching Introduction

Автор: Gupta N., Mangla R.
Название: Artificial Intelligence Basics: A Self-Teaching Introduction
ISBN: 1683925165 ISBN-13(EAN): 9781683925163
Издательство: Неизвестно
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Цена: 6620.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, this book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are also covered in detail.

An Introduction to IoT Analytics

Автор: Perros, Harry G.
Название: An Introduction to IoT Analytics
ISBN: 0367686317 ISBN-13(EAN): 9780367686314
Издательство: Taylor&Francis
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Цена: 7808.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.

Introduction to ai robotics

Автор: Murphy, Robin R.
Название: Introduction to ai robotics
ISBN: 0262133830 ISBN-13(EAN): 9780262133838
Издательство: Wiley
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Цена: 10296.00 р.
Наличие на складе: Поставка под заказ.

Описание:

A comprehensive introduction to the AI approach to robotics, combining theoretical rigor and practical applications; with case studies and exercises.

This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.

Following the overview, Murphy contrasts AI and engineering approaches and discusses what she calls the three paradigms of AI robotics: hierarchical, reactive, and hybrid deliberative/reactive. Later chapters explore multiagent scenarios, navigation and path-planning for mobile robots, and the basics of computer vision and range sensing. Each chapter includes objectives, review questions, and exercises. Many chapters contain one or more case studies showing how the concepts were implemented on real robots. Murphy, who is well known for her classroom teaching, conveys the intellectual adventure of mastering complex theoretical and technical material. An Instructor's Manual including slides, solutions, sample tests, and programming assignments is available to qualified professors who are considering using the book or who are using the book for class use.


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