Insights, learnings, and analysis from my journey in data science, AI and software engineering.
What Fred Brooks knew that machine learning is still learning
Back in 1975, Fred Brooks, in his seminal work "The Mythical Man-Month" wrote - dedicate half the schedule for "testing". His was not a suggestion, but a rule of thumb from decades of hard experience building real software.
“It’s harder to read code than to write it.” — Joel Spolsky
A gist of what I learnt over the years from executing many projects in data science — practical takeaways that go beyond algorithms.
A mathematical analysis of batsmen performances in the Caribbean Premier League — grouping players by their playing style and effectiveness using clustering techniques.
A practical tutorial on using callbacks to control training in TensorFlow — stopping early when the desired accuracy is reached.
A visual analysis of traffic-related incidents on the roads of Bangalore — uncovering patterns, hotspots, and insights from accident data.