16th September 2021, New Delhi: CL Educate Limited, (NSE: CLEDUCATE, BSE: 540403), India’s only listed EdTech and MarTech entity and owner of popular Test-Prep brand, Career Launcher, released today a new book – Practical Handbook of Machine Learning. Focusing more on the practical applications on Machine Learning, than on theoretical concepts, the specially curated book has been co-authored by one of the founders of CL Educate and the organization’s Chief Innovation Officer, Mr. Sujit Bhattacharyya and Mr. Subhrajit Bhattacharya, Director, AI Sciences, Target.
Sujit and Subhrajit, friends from their days together in IIT Kharagpur, reunited 30 years after they passed out of India’s premier engineering college to document their career experiences and prepare a guide for students and working professionals aspiring to make a career in Machine Learning.
Sujit, who did his MBA from IIM Bangalore after his MBA, joined his batchmates to lead CL Educate on its 25-year journey towards becoming India’s premier EdTech listed entity. As the Chief Innovation Officer, Sujit currently leads all digital initiatives, including the Data Science practice, which delivers Artificial Intelligence and Machine Learning programs to CXOs across the globe. An expert in Artificial Intelligence and voice-tech, Sujit was invited to amazon as part of their Alexa Developer Advisory Council. He has served on the FICCI committee for school education and is an invited faculty to AICTE for conducting Faculty Development Programs in the areas of Artificial Intelligence and Machine Learning.
Subhrajit, meanwhile, following up his engineering experience with a Ph.D. from Duke University. He spent 10 years in research at NEC and at IBM’s TJ Watson Research Center, USA. A holder of 12 patents, Subhrajit published 20 research papers enroute to becoming an expert in this field. He returned to India in 2006 with IBM and build their EDA R&D team. He is presently the Director of Artificial Intelligence Sciences at Target and has captured his practical expertise in this domain through the book.
The book, marketed by GK Publications, provides a hands-on approach with live examples to machine learning written for engineers, college students in their second or third year as well as for professionals, faculty members who want to learn this exciting field on their own. The book comes with a companion website, which has full-length video lectures by the authors, providing a deeper understanding of key topics.
The book can be purchased on Amazon, and is attractively priced at Rs.1000/-