Demystifying Quantisation in Large Language Models in Plain English with Basic Math more

Intent is to highlight benefits gained by using Clojure, a functional language which works on JVM and Cascalog data processing library for Hadoop. The participants will be exposed to, more

We will become familiar with real world machine learning in a hands on, intuitive way. Rather than taking the algorithm and its results as a black box provided by a library and learning in a cookbook style, we will try to understand the why of the problem. Participants will also appreciate the importance of each phase (data exploration, data cleaning and extraction, modeling, evaluation) of machi… more

If you have ever been in a “black box” operating mode where you are throwing more data/complex models at a machine learning problem without a clue about why it is working or not working, this workshop is for you! The workshop will primarily focus on understanding supervised machine learning. more

I have a firm belief that, there’s elegant and understandable theory behind neural networks. more

Background Python versions starting with 3 has added a lot of support for writing concurrent, asynchronous and event driven programs, especially for input-output. At the same time, because the language support on these is still evolving, it also gives rise to confusion. If you ask ‘how do learn to write application containing asynchronous I/O’ there are many paths and beginners might just find it… more

Recommendation systems and algorithms have application in many domains, retail/e-commrce and content recommendation being the obvious ones. Research, software development and general interest in recommendation systems exploded in the last few years, especially after rise of e-commerce and Netflix’s competition on movie recommendations. more

This workshop will serve as a starting point for beginners in machine learning. I will cover a high level overview of field of machine learning and introduction to the Python data ecosystem in machine learning. I strongly believe that the best way to learn machine learning is by building few algorithms from scratch. So we will build a supervised ML application from scratch in Python. Since ML is … more

If you are in a sector where the outcome of your data analysis and machine learning work has significant monetory impact, then you should learn bayesian data analysis! more