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+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789389845426- 63f9e3ee2890cbc88584786b Machine Learning For Beginners https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df47061c311e4129b431cf/9389845424-01-_sclzzzzzzz_sx500_.jpg This book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection. The book covers algorithms and implementations of the most common Feature Selection Techniques. The book then focuses on Linear Regression and Gradient Descent. Some of the important Classification techniques such as K-nearest neighbors, logistic regression, Na ve Bayesian, and Linear Discriminant Analysis are covered in the book. It then gives an overview of Neural Networks and explains the biological background, the limitations of the perceptron, and the backpropagation model. The Support Vector Machines and Kernel methods are also included in the book. It then shows how to implement Decision Trees and Random Forests. Relevant Links: Overcoming Depression A Books On Prescription Title Books Online, Kiss The Girl And Make Them Cry Books Online, Half Sleeves Books Online, Mechanisms Of The Mind Books Online, Utkarsh Hindi Pathmala 3 Books Online, Women Entrepreneurship In India Books Online, Parmaceutics Quality Assurence Books Online, Chemistry Self Tutor Icse X Books Online, Madhubun Icse Geography 6 Books Online 9789389845426-
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BPB Publications
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Machine Learning For Beginners

Machine Learning For Beginners

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Author: Harsh Bhasin

Brand: BPB Publications

ISBN: 9789389845426-
₹749
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Description of product

This book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection. The book covers algorithms and implementations of the most common Feature Selection Techniques. The book then focuses on Linear Regression and Gradient Descent. Some of the important Classification techniques such as K-nearest neighbors, logistic regression, Na ve Bayesian, and Linear Discriminant Analysis are covered in the book. It then gives an overview of Neural Networks and explains the biological background, the limitations of the perceptron, and the backpropagation model. The Support Vector Machines and Kernel methods are also included in the book. It then shows how to implement Decision Trees and Random Forests. Relevant Links: Overcoming Depression A Books On Prescription Title Books Online, Kiss The Girl And Make Them Cry Books Online, Half Sleeves Books Online, Mechanisms Of The Mind Books Online, Utkarsh Hindi Pathmala 3 Books Online, Women Entrepreneurship In India Books Online, Parmaceutics Quality Assurence Books Online, Chemistry Self Tutor Icse X Books Online, Madhubun Icse Geography 6 Books Online

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Machine Learning for Beginners is an excellent introduction, easy to follow, and ideal for newcomers to the subject.
Aug 2, 2023 4:18:41 PM