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An Engineer’s trek into Machine Learning

Satish Chandra Gupta
Machine Learning Practitioner. I learn & write about doing ML in production. Cofounder: Ex: Amazon, Microsoft Research. Newsletter:
Originally published at on ・1 min read

Intro to data science, machine learning, and deep learning for software engineers and developers, with a curated list of online resources.

You are a Software Engineer. You notice Artificial Intelligence, Machine Learning, Deep Learning, Data Science buzzwords all around. You wonder what these phrases mean, whether all this is for real and useful or is yet another hype and passing fad.

You want to figure out how it is changing or will change the computer/IT industry, and why you should care, if at all. You google about it, you read various articles, blogs, and tutorials. You get some idea but are also overwhelmed by the enormous wealth of math, tools, frameworks you discover.

You wish if someone could give an overview, say, a map and compass suitable for an engineer, to help you embark on the journey of mastering it all. This blog post is for you.

Like you, I am a software engineer and have been through that journey. My experience is relevant, and you can use it for charting out your own course. Apart from programming, I also love to trek in the Himalayas. I see interesting parallels in my ML journey and high altitude treks. Through those parallels, I will explain how you can plan and go on an ML expedition.

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