What is the cookie cutter process for data science?
When you stat learning about data science, it is important… Read More »What is the cookie cutter process for data science?
When you stat learning about data science, it is important… Read More »What is the cookie cutter process for data science?
Parameter optimisation is a tough and time consuming problem in… Read More »How to optimise parameters? Plus A quick way to optimise parameters for LightGBM
How much data you need for machine learning? Collecting data… Read More »How to use learning curves in scikit-learn
AI and machine learning are an excellent way to help… Read More »Success factors in the implentation of AI
Metrics in machine learning As some of you might know,… Read More »What is the F-1 measure and why is it useful for imbalanced class problems?
Note: This is an excerpt from my new book-in-progress called… Read More »Bayesian statistics vs frequentist statistics
AI and creativity As many of you know, I am… Read More »Review of the AI and Creativity lockdown meetup!
Artificial intelligence (AI) is not only an emerging technology but… Read More »The Different Types of AI Explained
I recently uploaded my thesis on arXiv. My thesis, called Predictive Modelling… Read More »Predictive modelling of football injuries
Data science is ever evolving, and with so many things… Read More »Ten cheatsheets for data science and machine learning