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How to choose effective courses for machine learning and data science

Advice for young professionals in non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.

Tirthajyoti Sarkar
Towards Data Science
18 min readSep 26, 2017

The motivation

Bill Gates proclaimed in a recent graduation ceremony, that artificial intelligence (AI), energy, and bio science are three most exciting and rewarding career choices today’s young college graduates can choose from.

I couldn’t agree more.

I have come to believe strongly that some of the most important questions of our generation - related to sustainability, energy generation and distribution, transportation, access to basic amenities of life etc., are dependent on how intelligently we can mix the the first two branches of knowledge Mr. Gates mentions.

In other words, the world of physical electronics (semiconductor industry comprises a central portion of that world), must do more to embrace fully the fruits of information technology and new developments in AI or data science.

I wanted to learn, but where to start?

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Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Tirthajyoti Sarkar
Tirthajyoti Sarkar

Written by Tirthajyoti Sarkar

Sr. Director of AI/ML platform | Stories on Artificial Intelligence, Data Science, and ML | Speaker, Open-source contributor, Author of multiple DS books

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