Machine Learning Techniques July 18, 2026
Latex Workshop for Research Paper Writing April 10, 2026
Normal Distribution – Numerical Problems with Solutions March 1, 2026
Retrieval-Augmented Generation (RAG)Retrieval-Augmented Generation (RAG) Explained | LLMs and the Need for RAG March 1, 2026
bbc202nbca204 February 26, 2026
TAFL February 18, 2026
Python for A.I. (ML DL GENAI LLMS AGENTIC AI ) and ROBOTICS December 23, 2025
Normal Distribution A Detailed Step-by-Step Explanation November 10, 2025
Negative Binomial Distribution | Simple Explanation #177 Data Sc. and A.I. Lect. Series November 10, 2025
Support Vector Machines Made Easy | SVM Explained with Example November 10, 2025
Geometric Distribution Made Simple | Stepwise Approach #176 Data Sc. and A.I. Lect. Series November 10, 2025
Hypergeometric Distribution A Distribution of Dependent Events #175 Data Sc. and A.I. Lect. Series November 10, 2025
Discrete Uniform Distribution in Statistics October 7, 2025
Naive Bayes Classification Algorithm for Weather Dataset October 3, 2025
Text Classification with Bag of Words and Naive Bayes October 1, 2025
Fitting of Poisson Distribution September 30, 2025
Filters or Kernels in Image Processing September 30, 2025
Gradient of Softmax + Cross-Entropy w.r.t Logits September 23, 2025
Understanding Neural Networks: Softmax, Cross-Entropy, and Backpropagation September 23, 2025
Iris Classification Neural Network with Backpropagation September 15, 2025

Robotics and Machine Learning Workshop

Day 1