Introduction to Machine Learning and its Basics

Deep Dive into Supervised Learning

Exploration of Unsupervised Learning

Semantics of Neural Networks and Deep Learning

Understanding TensorFlow Framework

Application of Tensorflow in Machine Learning

Hands-On Projects and Case Studies

Advanced Topics and Future Trends in Machine Learning

This book provides practical introduction to machine learning, focusing on methods and principles behind the design and architecture of Intelligent Systems. Through a pedagogical approach, it gives insights into concepts and tools used in Machine Learning using Scikit-Learn and TensorFlow libraries.

technology

non_fiction

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems