ML Fundamentals

Message buses, Async and sync architecture

ML Services Gateway at SurveyMonkey

Evaluating Time Series Models : Time Series Talk

How to build custom Datasets for Images in Pytorch

Taming Kerberos - Computerphile

How to save and load models in Pytorch

My Recording Gears For Data Science Videos

Paul Polman and Peter Tufano in Conversation [clip]

Why Domain Knowledge Is Important For Data Scientist?

Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing

VDLS Lavanya Product Walkthrough

Curried Functions - Computerphile

Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

ACF & PACF Code Example : Time Series Talk

A Day in the Life of MIT OpenCourseWare

1D convolution for neural networks, part 9: Stride

1D convolution for neural networks, part 8: Padding

ML Platforms - The build vs buy question

Pytorch GoogLeNet / InceptionNet implementation from scratch

Pytorch CNN example (Convolutional Neural Network)

Pytorch Neural Network example

How can we build a more stable and just world after the covid-19 crisis? Paul Polman & Peter Tufano.

End to End Chatbot with Deployment And Custom Service Integration

Oxford Programme on Responsible Ownership

Live Q&A Showing My Workspace

Spearman's rank correlation coefficient- Statistics

Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation

Saturday Live Q&A

MLOps Manifesto with Luke Marsden from Dotscience

Remote Collaboration as a Data Scientist

All About Membership In Krish's Channel

Why My Computer Wants to Forget (How Dynamic Memory Works) - Computerphile

GOTO Episode 1

GOTO 2020 Trailer

Unit Roots : Time Series Talk

Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner

Lecture 4- Bubble Sort -Competitive Programming Problem 2

Visibility Climate Prediction- You Can Add This In Your Resume

Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!

Invertibility II : Time Series Talk

Organizing ML projects — W&B walkthrough (2020)

Lecture 2- Competitive Programming- Problem Statement 1

Lecture 1- Data Structures And Analysis Of Algorithms

1D convolution for neural networks, part 7: Weight gradient

1D convolution for neural networks, part 6: Input gradient

1D convolution for neural networks, part 5: Backpropagation

1D convolution for neural networks, part 4: Convolution equation

1D convolution for neural networks, part 3: Sliding dot product equations longhand