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Machine Learning Revised And(Revised, Updated Edition)
Authors:
Ethem Alpaydin
Cover Type:Hardcover
Condition:Used
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Book details
ISBN: 0262542528, 978-0262542524
Book publisher: The MIT Press
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Book Summary: A Concise Overview Of Machine Learning--computer Programs That Learn From Data--the Basis Of Such Applications As Voice 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 For A New Approach To Artificial Intelligence That Aims To Program Computers To Use Example Data Or Past Experience To Solve A Given Problem. In This Volume In The MIT Press Essential Knowledge Series, Ethem Alpaydin Offers A Concise And Accessible Overview Of "the New AI." This Expanded Edition Offers New Material On Such Challenges Facing Machine Learning As Privacy, Security, Accountability, And Bias. Alpaydin, Author Of A Popular Textbook On Machine Learning, Explains That As "Big Data" Has Gotten Bigger, The Theory Of Machine Learning--the Foundation Of Efforts To Process That Data Into Knowledge--has Also Advanced. He Describes The Evolution Of The Field, Explains Important Learning Algorithms, And Presents Example Applications. He Discusses The Use Of Machine Learning Algorithms For Pattern Recognition; Artificial Neural Networks Inspired By The Human Brain; Algorithms That Learn Associations Between Instances; And Reinforcement Learning, When An Autonomous Agent Learns To Take Actions To Maximize Reward. In A New Chapter, He Considers Transparency, Explainability, And Fairness, And The Ethical And Legal Implications Of Making Decisions Based On Data.
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