A.I. & Machine Learning

SUMMARY

This is a comprehensive book that provides a step-by-step guide to learning machine learning concepts and techniques, from basic terminology and concepts to advanced machine learning concepts and techniques.

The book is ideal for beginners and intermediate learners who want to gain a strong foundation in machine learning, and it is suitable for anyone interested in learning machine learning regardless of their technical background. The book covers the different types of machine learning, including supervised, unsupervised, and reinforcement learning, and provides an in-depth overview of commonly used machine learning algorithms and techniques.

The book also covers advanced machine learning concepts and techniques, including building machine learning pipelines, using machine learning for natural language processing and computer vision tasks, and best practices for advanced machine learning systems. The book provides hands-on examples and exercises throughout, making it easy for readers to apply what they have learned to real-world problems.

In addition, the book covers best practices for model evaluation and hyperparameter tuning, feature engineering and data preprocessing, and using machine learning tools and libraries. The book also includes an explanation of the development environment setup, making it easy for readers to get started with machine learning.

AVAILABILITY & PURCHASING

This book is available now in both eBook and Paperback format.