Machine Learning

Written By Ethem Alpaydin
Machine Learning
  • Publsiher : MIT Press
  • Release : 07 October 2016
  • ISBN : 0262529513
  • Pages : 206 pages
  • Rating : 3/5 from 1 reviews
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Download or read book entitled Machine Learning by author: Ethem Alpaydin which was release on 07 October 2016 and published by MIT Press with total page 206 pages . This book available in PDF, EPUB and Kindle Format. A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.

Machine Learning

Machine Learning
  • Author : Ethem Alpaydin
  • Publisher : MIT Press
  • Release Date : 2016-10-07
  • Total pages : 206
  • ISBN : 0262529513
GET BOOK

Summary : A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use ...

Machine Learning For Dummies

Machine Learning For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2021-02-09
  • Total pages : 464
  • ISBN : 0262529513
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Summary : One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence ...

Machine Learning For Dummies

Machine Learning For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2016-05-31
  • Total pages : 432
  • ISBN : 0262529513
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Summary : Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, ...

Introduction to Machine Learning

Introduction to Machine Learning
  • Author : Ethem Alpaydin
  • Publisher : MIT Press
  • Release Date : 2020-03-17
  • Total pages : 712
  • ISBN : 0262529513
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Summary : A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as ...

Machine Learning in Action

Machine Learning in Action
  • Author : Peter Harrington
  • Publisher : Manning Publications
  • Release Date : 2011-12
  • Total pages : 354
  • ISBN : 0262529513
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Summary : Provides information on the concepts of machine theory, covering such topics as statistical data processing, data visualization, and forecasting....

Python Machine Learning

Python Machine Learning
  • Author : Sebastian Raschka
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-09-23
  • Total pages : 454
  • ISBN : 0262529513
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Summary : 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 strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough ...

Fundamentals of Machine Learning for Predictive Data Analytics

Fundamentals of Machine Learning for Predictive Data Analytics
  • Author : John D. Kelleher,Brian Mac Namee,Aoife D'Arcy
  • Publisher : MIT Press
  • Release Date : 2015-07-24
  • Total pages : 624
  • ISBN : 0262529513
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Summary : A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications....

Machine Learning Algorithms

Machine Learning Algorithms
  • Author : Giuseppe Bonaccorso
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-07-24
  • Total pages : 360
  • ISBN : 0262529513
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Summary : Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in ...

Hands On Machine Learning with Scikit Learn Keras and TensorFlow

Hands On Machine Learning with Scikit Learn  Keras  and TensorFlow
  • Author : Aurélien Géron
  • Publisher : O'Reilly Media
  • Release Date : 2019-09-05
  • Total pages : 856
  • ISBN : 0262529513
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Summary : Through a series of recent 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 data. This practical book shows you how. By using concrete examples, ...

Python Machine Learning

Python Machine Learning
  • Author : Sebastian Raschka,Vahid Mirjalili
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-12-12
  • Total pages : 770
  • ISBN : 0262529513
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Summary : Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Key Features Third edition of the bestselling, widely acclaimed Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and ...

Machine Learning

Machine Learning
  • Author : Jason Bell
  • Publisher : John Wiley & Sons
  • Release Date : 2014-11-03
  • Total pages : 408
  • ISBN : 0262529513
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Summary : Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining ...

Machine Learning

Machine Learning
  • Author : Marco Gori
  • Publisher : Morgan Kaufmann
  • Release Date : 2017-09-01
  • Total pages : 442
  • ISBN : 0262529513
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Summary : Machine Learning: A Constraint-Based Approachprovides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion ...

Introduction to Machine Learning with Python

Introduction to Machine Learning with Python
  • Author : Andreas C. Müller,Sarah Guido
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2016-09-26
  • Total pages : 400
  • ISBN : 0262529513
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Summary : Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With ...

Machine Learning for Decision Makers

Machine Learning for Decision Makers
  • Author : Patanjali Kashyap
  • Publisher : Apress
  • Release Date : 2018-01-04
  • Total pages : 355
  • ISBN : 0262529513
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Summary : Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the ...

Gaussian Processes for Machine Learning

Gaussian Processes for Machine Learning
  • Author : Carl Edward Rasmussen,Christopher K. I. Williams,Francis Bach
  • Publisher : MIT Press
  • Release Date : 2006
  • Total pages : 248
  • ISBN : 0262529513
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Summary : A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book ...