BeaglesLoft

Results from assignment submissions of the previous Statistical learning class is in! This will translate to BeaglesLoft tokens in your ethereum account you submitted last week. Have a look and do the bonus exercises to earn more tokens! (If you want to track your earnings in something other than metamask, the smart contract address is: 0x5a5c552d9e71084b52a4572b9a5158fd3fa4983c)

Our math classes are back this Saturday and we are gamifying it using Ethereum! Read more about it and RSVP here: http://bit.ly/2EltEw1. We will be taking on Statistical learning next and Linear Algebra and Calculus are pre-requisites. If you have missed our previous classes on the pre-requisites you can catch up here: http://bit.ly/2zF3eml

Statistical Learning - Part 1 - Splash Over the next 5 - 6 weeks we will look at various ML models from the ground up. An understanding of statistical learning is indispensable if you want to be able to evaluate models, debug problems in the real world or present results in an intelligible way.We will start by learning basic statistical....

This Saturday we will be screening a lecture by Dr. William Dunham. Dr. Dunham's books and talks on mathematics are hugely popular, witty and easily comprehensible.
RSVP here to join us in learning the history and intuition behind the mathematics that makes up Machine Learning:

William Dunham Lectures - Splash Nearest landmarks:- Manipal center on Dickenson road- 1 MG Mall at Trinity Circle- Ente Keralam restaurant on Ulsoor Road

RSVP link for the next calculus class is up: http://bit.ly/2B7hv8o. Old participants need not RSVP. See you all Saturday!

P.S: Previous classes can be accessed here: http://bit.ly/2zF3eml

Calculus for Machine Leanring - Part 4 - Splash Get a deeper understanding of discrete vs continuous problems. We will then look at probability and and how integrals are used for probability

RSVP link for class #3 in the calculus series is up!: http://bit.ly/2ASwMuL. If you've attended any / all of the previous classes no need to RSVP.
Want to brush up on previous classes?: http://bit.ly/2zF3eml

Calculus for Machine Learning - Part 3 - Splash We now move onto the other half of calculus. Areas under curves. The fundamental theorem will help us switch between the slope and area. Like previous sessions, real world problems will be looked at from the calculus lens

PC: Kishore S Meda

We continue with Calculus for ML this Saturday. RSVP link for the second class is accessible here: http://bit.ly/2hWeWPx. If you attended the first class, you're already added as an attendee and there's no need to RSVP.
If you want to catch up on the first class check out our YouTube channel: http://bit.ly/2zuSuXi

Calculus for Machine Learning - Part 2 - Splash Having understood the motivations behind inventing calculus, intuitively calculating simple derivatives and integrals, we press on with partial derivatives, gradient descent and tying it to Machine Learning

Our next series of TechBuilders will be on Calculus. This 4 - 5 part series will make an often dreaded and neglected branch of mathematics amenable to any programmer by understanding the geometric intuition behind Calculus. RSVPs are limited, reserve your seat here:

Calculus for Machine Learning - Splash We continue to learn the Math needed to master Machine Learning with our series on Calculus. Calculus is an in-dispensable building block for ML, but is also often neglected. Join us as we take a fresh approach in learning calculus by understanding the geometry behind it.