Machine Learning for Engineers - Softcover

Inhaltsangabe

“Machine Learning for Engineers” is exactly what the name says. It is an introductory book about the exciting field of Machine Learning to Engineering students and professionals. It is intended to be a simple “teach yourself” guide for Engineering students and Professionals who are trying to extend their skills to include Machine Learning/Data Science. Created after extensive study of industry and academia, the book’s content is designed with the aim of equipping the reader to work on small machine learning projects and/or attend an interview for entry-level Data Scientist job. The book is explicitly designed to minimize mathematical detail. The book’s carefully crafted content was finalized after extensive feedback from IT Industry. The most popular topics of Machine Learning have been covered along with examples. The book does not focus on the mathematical theory behind the algorithms. Instead, each algorithm is examined with the use case where it can be used. This provides a clear understanding of the topic from an engineering point of view without getting distracted with mathematics. A real-world hackathon’s solution is also included with the book to give an explicit understanding of using Machine Learning techniques.

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