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  1. Abhijit Ghatak; Linear algebra is a branch of mathematics that lets us concisely describe the data and its interactions and performs operations on them. View. Machine Learning with R.

  2. Dr. Abhijit Ghatak, MD is an Interventional Cardiology Specialist in Gainesville, GA and has 19 years experience. They graduated from SOUTHWEST COLLEGE OF NATUROPATHIC MEDICINEHEALTH SCIENCES in 2005 and completed a residency at University of Connecticut School of Medicine.They currently practice at Practice and are affiliated with Northside Hospital Gwinnett, Northeast Georgia Medical Center Gainesville and Piedmont Eastside Medical Center.

  3. Apr 13, 2019 · Abhijit Ghatak is a Data Scientist and holds an M.E. in Engineering and M.S. in Data Science from Stevens Institute of Technology, USA. He began his career as a submarine engineer officer in the Indian Navy and worked on various data-intensive projects involving submarine operations and construction.

  4. Abhijit Ghatak is an Interventional Cardiologist and a Cardiologist in Snellville, Georgia. Dr. Ghatak is highly rated in 5 conditions, according to our data. His top areas of expertise are Heart Attack, Coronary Heart Disease, Apoplexy, Percutaneous Coronary Intervention (PCI), and Aortic Va...

  5. This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning.

  6. Abhijit Banerjee & Esther Duflo & Maitreesh Ghatak & Jeanne Lafortune, 2013. "Marry for What? Caste and Mate Selection in Modern India," American Economic Journal: Microeconomics, American Economic Association, vol. 5(2), pages 33-72, May. citation courtesy of

  7. Abhijit Ghatak xiii About This Book • Deep learning is a growing area of interest to academia and industry alike. The applications of deep learning range from medical diagnostics, robotics, security and surveillance, computer vision, natural language processing, autonomous driving, etc.