Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Learn the essential tools and frameworks for creating intelligent AI agents that revolutionize industries and solve complex ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Whether your chip is running a vintage computer game or the latest DeepSeek model, it’ll reward you for speaking its native ...

Program focused on skill-building, AI applications; 95 participants participated: Director SRINAGAR: A five-day workshop on Python for Artificial Intelligence (AI), organized by the Department of ...

Discover how order book trading powers smart crypto strategies: learn key concepts, advanced order book patterns, data tools ...

In a quiet corner of Bengaluru, 17-year-old Samvar Shah is weaving together strands of code, creativity, and compassion. A ...

Python’s clean syntax makes recursive functions easier to write and read. However, you need to be mindful of the recursion ...

Advanced numerical simulation tools such as QuantumATK, HFSS, and RaptorQu are transforming how research groups approach ...