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Author:   John D. Kelleher ,  Brian Mac Namee ,  Aoife D'Arcy
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Edition:   2nd Revised edition
Weight:   0.567kg
ISBN:  

9780262044691

ISBN 10:   0262044692
Pages:   856
Publication Date:   20 October 2020
Recommended Age:   From 18 years
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

I Introduction to Machine Learning and Data Analytics 1 Machine Learning for Predictive Data Analytics 2 Data to Insights to Decisions 3 Data Exploration II Predictive Data Analytics 4 Information-Based Learning 5 Similarity-Based Learning 6 Probability-Based Learning 7 Error-Based Learning 8 Deep Learning 9 Evaluation III Beyond Prediction 10 Beyond Prediction: Unsupervised Learning 11 Beyond Prediction: Reinforcement Learning IV Case Studies and Conclusions 12 Case Study: Customer Churn 13 Case Study: Galaxy Classification 14 The Art of Machine Learning for Predictive Data Analytics V Appendices A Descriptive Statistics and Data Visualization for Machine Learning B Introduction to Probability for Machine Learning C Differentiation Techniques for Machine Learning D Introduction to Linear Algebra Bibliography Index

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Author Information

John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. He is the coauthor of Data Science and the author of Deep Learning, both in the MIT Press Essential Knowledge series. Brian Mac Namee is Associate Professor at the School of Computer Science at University College Dublin Aoife D'Arcy is CEO of Krisolis, a data analytics company based in Dublin.

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