Can I read Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python on EtoBox?

Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python by Harsh Bhasin is a nonfiction available to read on EtoBox.

What is Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python about?

Get familiar with various Supervised, Unsupervised and Reinforcement learning algorithms Key Features Understand 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, Naïve 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 M

Who reads Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python?

Author

Harsh Bhasin

Publisher

Published by Manish Jain for BPB Publications

Published

2020

Language

EN

ISBN

9789389845433

Category

nonfiction

Subjects

Science, Stem