ML Fundamentals

Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group #1

Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021

The Best Book For Learning & Get Your Basics Strong In Data Science

Help Protect the Great Barrier Reef with Machine Learning

Discussing System On Chip (SoC) - Computerphile

Proximal Policy Optimization Implementation: 8 Details for Continuous Actions (3/3)

Paint Me a Picture: NVIDIA Research Shows GauGAN AI Art Demo Now Responds to Words

This Is The Perfect Resume For Data Science Role

Live Q&A: Data Science, ML. Ft: Anuj Gupta (Head of Machine Learning @ Vahan Inc, NLP Book Author)

Regularization in a Neural Network | Dealing with overfitting

Introduction to Machine Learning

Math4ML Exercises: Probability

DevFest North America Nov 19-20, 2021 | Google Developer Groups

Managed Training with Amazon SageMaker and 🤗 Transformers

Building Machine Learning Applications Fast

Cybersecurity Threats // Monika Venčkauskaitė // Meetup #70 short clip

Diploma in Artificial Intelligence for Business Student Panel

Live Code Along: Machine Learning with XGBoost in Python

5 Data Science Myths you shouldn't believe

Data Science and Machine Learning Certificate, IIT Roorkee on Coursera

Python Graph Neural Network Libraries (an Overview)

Github Copilot: Good or Bad?

Incredible things your community is creating with TensorFlow.js - #MadeWithTFJS

Depth Camera - Computerphile

Statistics Books For Data Science and Machine Learning

Skills Based On Experience For Data Science Roles

Day 2- 24 Hours Hackathon Competition Vlog At KIET

Showcase your model demos with 🤗 Spaces

The Hugging Face Hub as a means to collaborate on and share Machine Learning projects

NLP Workflows with Keras

Math4ML Exercises: Calculus

Day 1-AI and Machine Learning Hackathon Workshop For KIET

PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // MLOps Coffee Sessions #63

Trailer- Ineuron First College 24 hours Hackathon 2021 At KIET Kakinada

How to get involved in Machine Learning

Chip floorplanning with deep reinforcement learning

Cloud TPU v4: Fast, flexible, and easy-to-use ML accelerators

Data-Centric AI Means Centralizing Training Data // Alberto Rizzoli // MLOps Meetup #85

Simplified distributed training with tf.distribute parameter servers

Building Machine Learning models with Edge Impulse

Intro to JAX: Accelerating Machine Learning research

Math4ML Exercises: Linear Algebra, cont'd

Manage MLOps and deploy Machine Learning to production with the new and improved TFX

Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML

State-of-the-art Machine Learning research with Google tools | Keynote

Engage with the Machine Learning community | Keynote

How Machine Learning tools at Google made AlphaFold possible | Keynote

Machine Learning for mobile | Keynote