Machine Learning for Engineers

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 books 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 books 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 hackathons solution is also included with the book to give an explicit understanding of using Machine Learning techniques.