ML Fundamentals

Metric Learning for Images - Keras Code Examples

Expert Panel: Optimizing BizOps with AI

SVM Kernels : Data Science Concepts

PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network

Session On Different Types Of Loss Function In Deep Learning

Coding MCMC : Data Science Code

Speech Command Recognition With Tensorflow.JS and React.JS | Javascript AI

Democratize AI with OneAPI

Building a recommendation system using deep learning

Deep Learning News #2, Feb 6 2021

Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet

Build a 2D convolutional neural network, part 16: Cottonwood code tour

Career Advice Office Hours - Job Applications | Coursera

He got 5 internships and 2 job offers | Interview with Zomato machine learning engineer

How I hacked my Nest camera to run custom models

Do this to get a data science job abroad

RandAugment Paper Walkthrough

Q&A + Giveaway for 10 Years on YouTube

Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch

Visual Illusions Deceiving Neural Networks

W&B Deep Learning Salon - ML@B Project Showcase

ML @ Berkeley Teams present on gesture detection, capsule networks, and adversarial attacks.

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Sunday Late Night Live Q&A - Ask Anything Related To Data Science

Bayesian Treasure Hunt : Data Science Code

Build a 2D convolutional neural network, part 15: Rendering examples

Build a 2D convolutional neural network, part 14: Collecting examples

Build a 2D convolutional neural network, part 13: Loss history and text summary

Build a 2D convolutional neural network, part 12: Testing loop

Build a 2D convolutional neural network, part 11: The training loop

Build a 2D convolutional neural network, part 10: Connecting layers

Build a 2D convolutional neural network, part 9: Adding layers

Build a 2D convolutional neural network, part 8: Training code setup

Build a 2D convolutional neural network, part 7: Why Cottonwood?

Build a 2D convolutional neural network, part 6: Examples of successes and failures

Build a 2D convolutional neural network, part 5: Pre-trained model results

Build a 2D convolutional neural network, part 4: Model overview

Build a 2D convolutional neural network, part 3: MNIST digits

Build a 2D convolutional neural network, part 2: Overview

Build a 2D convolutional neural network, part 1: Getting started

Object Localization Vs Object Detection Deep Learning

How To Implement Image Classification Using SVM In Convolution Neural Network

Markov Chain Monte Carlo (MCMC) : Data Science Concepts

First Live Q&A Of 2021 - Ask Anything Related To Data Science

Papers With Code: The Latest in Machine Learning, Deep Learning And AI

Accept-Reject Sampling : Data Science Concepts

Code With Me : Monte Carlo Method (My First Real-Time Coding Video!)

Last Live Q&A Of 2020- Ask Anything Related To Data Science