We are living in an exciting time in which artificial intelligence, analytics and data science are changing the world dramatically. This textbook enables students to gain a clear understanding of — and even lead — some of the changes in the next decade. Focusing on real data and real problems instead of purely mathematical constructs, Artificial Intelligence, Analytics and Data Science makes use of mathematics to solve real problems. The book concentrates on computations over mathematical proof, and on simplicity over complexity.
Chapter 1 Introduction and Overview
Chapter 2 Fundamental Concepts and Principles
Chapter 3 Data Exploration and Summaries
Chapter 4 Data Structures and Visualisation
Chapter 5 Data Cleaning and Preparation
Chapter 6 Linear Regression
Chapter 7 Logistic Regression
Chapter 8 Classification and Regression Tree (CART)
Chapter 9 Neural Network
Chapter 10 Strings and Text Mining
Ending Thoughts and Volume 2
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Chee Hua Chew
Chew Chee Hua was previously Principal (Analytics) at SAS Institute, where he used advanced analytics to design and solve business problems for government agencies, banks, insurance companies, hospitals and large corporations. Prior to SAS Institute, he had worked as Head of Research & Statistics at the Ministry of Health, and was Professor of Financial Mathematics in Dubai Academic City. Chew currently teaches Analytics and Machine Learning at Nanyang Technological University (NTU) and conducts industry consulting and corporate training. He started consulting for industry in 2001 by translating Machine Learning research papers into applications for his clients. Since 2000, he has taught more than a hundred courses at the undergraduate and master’s levels, completed over 80 consulting engagements, and customised corporate training courses.
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Clear and detailed explanations of concepts for beginners
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Use of real-world examples and data sets throughout the book
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Shows readers how to apply concepts using open source software (R)
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Concept Exercises and Computing Exercises for self-study at the end of most chapters
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Clear and detailed explanations of concepts for beginners
-
Use of real-world examples and data sets throughout the book
-
Shows readers how to apply concepts using open source software (R)
-
Concept Exercises and Computing Exercises for self-study at the end of most chapters
VitalSource eBook: Artificial Intelligence, Analytics and Data Science (Vol. 1) 12 Months
9789814922760
Cengage eBook: Artificial Intelligence, Analytics and Data Science (Vol. 1) 12 Months
9788000042558