About the reviewers

Ashis Roy is a data scientist working at the network infrastructure company Ericsson, in machine learning and artificial intelligence. Previously, he worked with a pure-play data analytics firm, Mu Sigma, and has worked with many Fortune 500 clients in BFSI, retail, and the telecom domain. He completed a master's in mathematics and computing from IIT Guwahati, India and a professional doctorate in engineering from TU/e, the Netherlands, in industrial mathematics. Currently, he is developing a self-healing network using AI and ML. Besides that, he has a deep interest in the sunrise areas of industries.

Dr. B. Muthukumaraswamy has a PhD in data science. He is a technical evangelist who is a result-driven software engineer with over 12 years of continuous experience dealing with all facets of AI, deep learning, and machine learning. He has worked with the most popular algorithms used in the field of deep learning today, such as Convolutional Neural Networks (CNNs), isomorphic JavaScript, and the object-oriented JavaScript (OOJS) software development life cycle in world-class JavaScript-based systems. He has been architecting and working with React, Angular, and React Native. He writes a lot of code both for work and personally. He also works with the MEAN stack, the MERN stack, and the JAMstack, and has authored a couple of books.

Akshay GovindRao Mankar has more than 3 years of experience in the domain of computer vision and deep learning. Currently, he is working in the domain of self-driving cars in Germany as a senior software engineer. Before getting into the industry, he completed an M.Sc in electronics and an M.Tech in communication engineering from Mangalore University and Vellore Institute of Technology (V.I.T. University) respectively. During these master's programs, his research subject of interest was image processing and computer vision. Akshay is very passionate about artificial intelligence and has experience with the Python programming language, OpenCV, TensorFlow, and Keras. In his free time, he likes to go through online courses.