Top 100 mathematics keywords for Data Science – Part 1

Whoever is teaching you data science without teaching you Mathematics especially optimization is not teaching it right to you. That’s my biggest learning from Master of Data Science at IIT Gandhinagar – it will take you good 2 years to learn the related mathematics in all four major areas below. It’s not possible to learn…… Continue reading Top 100 mathematics keywords for Data Science – Part 1

PartyRock.aws apps – Part 1

Here is a list of my experimentation with PartyRock@AWS since last 2 days. It seems like an amazing platform. Try out the 11 apps and do provide feedback. What is nice is that it creates apps with widgets and various flows using only one line of description. https://partyrock.aws/u/neil-hsopc/8kdTd2eUX/ResearchMate Welcome to the Research Methodology Assistant. This…… Continue reading PartyRock.aws apps – Part 1

Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1

1. Unconstrained Optimization Methods (Used when there are no explicit constraints on variables) Gradient-Based Methods Second-Order Methods Heuristic & Meta-Heuristic Methods Bayesian Optimization 2. Constrained Optimization Methods (Used when optimization involves constraints on variables) Convex Optimization Methods Augmented Lagrangian Methods Penalty Methods Sequential Quadratic Programming (SQP) Interior-Point Methods Constraint-Specific Heuristic Approaches Here are the Wikipedia…… Continue reading Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1