Designed for quick access on the job, Machine Tools Handbook explains in detail how to carry out basic and advanced machine tool operations and functions, providing a wealth of machine tool exercises to test and improve the performance of machinists.

This Practical Book Shows You How. By Using Concrete Examples, Minimal Theory, And Two Production-Ready Python Frameworks―Scikit-Learn And Tensorflow―Author Aurélien Géron Helps You Gain An Intuitive Understanding Of The Concepts And Tools For Building Intelligent Systems

Provides basic knowledge of machine tools. Basic programs of numerically controlled machining machines. Introducing new technology and manufacturing process of machine tools.

This book thoroughly illustrates the causes of various phenomena and their effects on machining practice. The authors include several descriptions of modern analytical methods, outlining the strengths and weaknesses of the various modeling approaches.

This book provides a comprehensive description of machining technologies related to metal shaping by material removal techniques, from the basic to the most advanced, in today’s industrial applications. It is a fundamental textbook for undergraduate students enrolled in production, materials and manufacturing, industrial, and mechanical engineering programs

The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.