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This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:
1. The basics of probability and statistics: These chapters focus on the basics of probability and statistics, and cover the key principles of these topics. ...
This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and hi...
Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced ...
The book introduces the reader to machine learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, vis...
The book introduces the reader to machine learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, vis...
This textbook presents an in-depth coverage of machine learning and deep learning using Python programming. It introduces  concepts, algorithms, and methodologies for understanding the basic components of machine learning, including supervised, unsupervised and reinforcement learning....
This textbook presents an in-depth coverage of machine learning and deep learning using Python programming. It introduces  concepts, algorithms, and methodologies for understanding the basic components of machine learning, including supervised, unsupervised and reinforcement learning....
The book introduces the reader to machine learning in transportation. It discusses both simple and advanced concepts including core statistics, data wrangling, data visualization, supervised and unsupervised datamining techniques as well as text mining. The book prepares students to manage data, vis...
This textbook presents an in-depth coverage of machine learning and deep learning using Python programming. It introduces  concepts, algorithms, and methodologies for understanding the basic components of machine learning, including supervised, unsupervised and reinforcement learning....