"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
This book is a simple, comprehensive description of the fundamentals of Machine Learning. This book explains difficult algorithms in the simplest possible steps and language. It has eighteen chapters and it covers basic to most advanced algorithms. The book is concise but helps understand 360 degrees of Machine Learning. It covers many real-life solved examples; all have been newly created to explain machine learning in a newer and simpler way.
Machine learning is a math-heavy discipline. The mathematics is covered in an appropriate depth so that professionals can understand it. Mathematics will not be deterrent for understanding the subject. The book also contains many generic concepts required to understand the subject.
The book is for all practitioners and students. It is more helpful for beginners in the field who wants to learn the crux of the subject fast.
Sunil Narsinghani
Sunil Narsinghani is an architect and entrepreneur in the machine learning and data science field. He has overall two decades of experience working in the Information Technology industry. He has a deep interest in Machine Learning in general and Recommendation Systems.
The author has worked as a data architect on various platforms and in many reputed, global Information Technology companies. The author is passionate about valuing engineering using data.
Before starting the long IT career, the author has obtained a postgraduate degree in Industrial Engineering and Management from a very reputed institute in India. While studying Industrial Engineering, he has mastered a few branches of mathematics including optimization, probability and statistics.
The author also has the vision to use the knowledge that can be obtained from data for better decisions. He is currently involved in creating a next-generation, real-time machine learning platform using parallelization and concurrent programming.
