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&lt;/center&gt;&lt;p&gt;According to Arthur Samuel, ML is the eld of study that gives computers the ability to learn without being  learning problem, it will be up toyouto idewhatfeaturesto choose,soifyouareoutinPortland gatheringhousingdata,youmight also ide to include other fea  Machine Learning: Machine learning is a growing technology which enables computers to learn automatically from past data. Data is being produced and stored continuously (“big data”): – science: genomics, astronomy, materials science, particle accelerators –  We begin with an overview of the sub elds of machine learning (ML). In this book we fo-cus on learning in machines. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. Machine Learning. There are several parallels between animal and machine learning. Certainly, many techniques in machine learning derive from the e orts of psychologists to make more precise their theories of animal and human learning through computational models Machine learning is the eld of study that gives computers the ability to learn without being explicitly programmed</property:Description>
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