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  • Authors: Dr. M Kanagasabapathy
  • Authors: Ivan Gridin
  • Authors: M. Kanagasabapathy
  • Authors: R .Soma Reddy
  • Authors: Urvi Rawal

There are plenty of computational tools are available for numerical analysis, but few packages are existing for symbolic computations such as Mathematica, Maple and Matlab are exceptionally powerful tools for symbolic computations, but having huge price tags.

Price ₹597.00

Key Features
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.

● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.

Price ₹999.00

Key Features
● Understand the core Python functions and algorithms for the computation of chemical parameters.
● Learn how to use Cheminformatics modules to process and analyze elemental data and molecular structures.
● Get familiar with the algorithms for numerical and symbolic computations.

Price ₹899.00