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Fundamental Concepts Of Matlab Programming
Author: B Bakariya/ K S Parmar
Brand: BPB Publications
ISBN:
9789389845822-
₹599
Description of product
Get familiar with various Supervised Unsupervised and Reinforcement learning algorithms Key FeaturesUnderstand the types of Machine learning. Get familiar with different Feature extraction methods. Get an overview of how Neural Network Algorithms work.Learn how to implement Decision Trees and Random Forests. The book not only explains the Classification algorithms but also discusses the deviations/ mathematical modeling.Description 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.
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| Brand | BPB Publications |
