📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Model Understanding and Business Reality (TensorFlow Extended)

TensorFlow Beginner 6y ago

ML Fundamentals

How to Crack Data Science Interviews- Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips

Lex Fridman Beginner 6y ago

ML Fundamentals

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Yannic Kilcher Intermediate 6y ago

ML Fundamentals

What should be your Salary Expectation as a Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Siamese Neural Networks

Connor Shorten Advanced 6y ago

ML Fundamentals

NASA Chief Scientist | Dr. Jim Green | Talks at Google

Talks at Google Beginner 6y ago

ML Fundamentals

Manifold Mixup: Better Representations by Interpolating Hidden States

Yannic Kilcher Beginner 6y ago

ML Fundamentals

Multi Programming - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Troubleshooting and Iterating ML Models with Lee Redden (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)

Weights & Biases Beginner 6y ago

ML Fundamentals

University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree

Coursera Beginner 6y ago

ML Fundamentals

Distributed Processing and Components (TensorFlow Extended)

TensorFlow Beginner 6y ago

ML Fundamentals

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Crash Course Artificial Intelligence Preview

CrashCourse Beginner 6y ago

ML Fundamentals

Rage Inside The Machine | Robert Elliott Smith | Talks at Google

Talks at Google Beginner 6y ago

ML Fundamentals

The Projects You Should Do To Get A Data Science Job

Ken Jee Beginner 6y ago

ML Fundamentals

Step By Step Transition Towards Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 37: Entropy In Decision Tree Intuition

Krish Naik Beginner 6y ago

ML Fundamentals

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Krish Naik Intermediate 6y ago

ML Fundamentals

Complete Life Cycle of a Data Science Project

Krish Naik Intermediate 6y ago

ML Fundamentals

My Path on Becoming a Data Scientist- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Train Test Split vs K Fold vs Stratified K fold Cross Validation

Krish Naik Intermediate 6y ago

ML Fundamentals

What is Cross Validation and its types?

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 19- Training Artificial Neural Network using Google Colab GPU

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks

Krish Naik Beginner 6y ago

ML Fundamentals

TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Reconciling modern machine learning and the bias-variance trade-off

Yannic Kilcher Advanced 6y ago

ML Fundamentals

Tutorial 4- Book Recommendation using Collaborative Filtering

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 16- AdaDelta and RMSprop optimizer

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 3- Book Recommendation System using Pearson Correlation

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 2- Creating Recommendation Systems using Nearest Neighbors

Krish Naik Beginner 6y ago

ML Fundamentals

Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Tutorial 1- Weighted hybrid technique for Recommender system

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 15- Adagrad Optimizers in Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 14- Stochastic Gradient Descent with Momentum

Krish Naik Beginner 6y ago

ML Fundamentals

Why do I need metadata? (TensorFlow Extended)

TensorFlow Beginner 6y ago

ML Fundamentals

AI Governance & Risk Management | Kartik Hosanagar | Talks at Google

Talks at Google Beginner 6y ago

ML Fundamentals

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Tutorial 13- Global Minima and Local Minima in Depth Understanding

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 12- Stochastic Gradient Descent vs Gradient Descent

Krish Naik Beginner 6y ago

ML Fundamentals

TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 4

The TWIML AI Podcast with Sam Charrington Beginner 6y ago

ML Fundamentals

Python Application to Track Amazon Product Prices

Krish Naik Intermediate 6y ago

ML Fundamentals

Recommendation Systems using Machine Learning

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 11- Various Weight Initialization Techniques in Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

TWIMLcon: AI Platforms Keynotes Announced!

The TWIML AI Podcast with Sam Charrington Beginner 6y ago