[BangPypers] [COMMERCIAL] Math for Machine Learning (Hacker's way)

[Bargava Subramanian]

“Study hard what interests you the most in the most undisciplined,
irreverent and original manner possible.” ― Richard Feynman

*Hacker Math for Machine Learning*

*Date: 3, 4 Dec 2016*

*Venue: Diamond District, Bangalore*



Proficiency in Linear Algebra and Statistics, is a must for anyone pursuing
a career in data science. The goal of this workshop is to introduce some
key concepts that get used repeatedly in data science applications. Our
approach is what we call the “Hacker’s way”. Instead of going back to
formulae and proofs, we teach the concepts by writing code. And in
practical applications. Concepts don’t remain sticky if the usage is never
taught. Topics from three areas are chosen - Hypothesis Testing, Supervised
Learning and Unsupervised Learning.



To know more about the workshop and to register, please visit:
http://amitkaps.com/hackermath


* Facilitators’ Profile*

Amit Kapoor teaches the craft of telling visual stories with data. He
conducts workshops and trainings on Data Science in Python and R, as well
as on Data Visualisation topics. His background is in strategy consulting
having worked with AT Kearney in India, then with Booz & Company in Europe
and more recently for startups in Bangalore. He did his B.Tech in
Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad.
You can find more about him at http://amitkaps.com/ and tweet him at
@amitkaps <http://twitter.com/amitkaps>



Bargava Subramanian is a practicing Data Scientist. He has 14 years of
experience delivering business analytics solutions to Investment Banks,
Entertainment Studios and High-Tech companies. He has given talks and
conducted workshops on Data Science, Machine Learning, Deep Learning and
Optimization in Python and R. He has a Masters in Statistics from
University of Maryland, College Park, USA. He is an ardent NBA fan. You can
tweet to him at @bargava <http://twitter.com/bargava>