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Abhijeet GHATAK, Professor (Assistant) | Cited by 19 | of Bihar Agriculture University, Bhāgalpur | Read 8 publications | Contact Abhijeet GHATAK
Abhijit V. Banerjee Massachusetts Institute of Technology Paul J. Gertler University of California, Berkeley Maitreesh Ghatak University of Chicago The paper analyzes the effect of agricultural tenancy laws offering security of tenure to tenants and regulating the share of output that is paid as rent on farm productivity. Theoretically, the net ...
Abhijit Ghatak is a Data Scientist and holds an ME in Engineering and MS in Data Science from Stevens Institute of Technology, USA. He started his career as a submarine engineer officer in the Indian Navy and worked on multiple data-intensive projects involving submarine operations and construction.
- Abhijit Ghatak
Abhijit V. Banerjee Massachusetts Institute of Technology Paul J. Gertler University of California, Berkeley Maitreesh Ghatak University of Chicago The paper analyzes the effect of agricultural tenancy laws offering security of tenure to tenants and regulating the share of output that is paid as rent on farm productivity. Theoretically, the net ...
Abhijit Ghatak is a Data Scientist and holds an ME in Engineering and MS in Data Science from Stevens Institute of Technology, USA. He started his career as a submarine engineer officer in the Indian Navy and worked on multiple data-intensive projects involving submarine operations and construction.
- Hardcover
- Abhijit Ghatak
Abhijit Ghatak, MD is board certified in General and Interventional Cardiology. Dr. Ghatak has been practicing medicine for more than 10 years and has performed thousands of cardiac catheterization procedures. He is a recognized expert in cardiology and was featured in the "Georgia Top Cardiologist" in 2021 and 2022.
Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. The book starts with an introduction to machine learning and moves on to describe the basic architecture, different activation functions, forward propagation, cross-entropy loss ...
