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📐 ML Fundamentals

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

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What is AdaBoost (BOOSTING TECHNIQUES)
ML Fundamentals
What is AdaBoost (BOOSTING TECHNIQUES)
Krish Naik Beginner 6y ago
Training Neural Networks: Crash Course AI #4
ML Fundamentals
Training Neural Networks: Crash Course AI #4
CrashCourse Beginner 6y ago
Intro to Machine Learning (ML Zero to Hero - Part 1)
ML Fundamentals ⚡ AI Lesson
Intro to Machine Learning (ML Zero to Hero - Part 1)
TensorFlow Beginner 6y ago
Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilearn
6:21:33
ML Fundamentals ⚡ AI Lesson
Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilearn
Simplilearn Beginner 6y ago
Are We Living in a Simulation? with George Hotz and Lex Fridman | AI Podcast Clips
ML Fundamentals ⚡ AI Lesson
Are We Living in a Simulation? with George Hotz and Lex Fridman | AI Podcast Clips
Lex Fridman Beginner 6y ago
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 8
ML Fundamentals ⚡ AI Lesson
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 8
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 7
ML Fundamentals ⚡ AI Lesson
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 7
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Influenza Vaccines and Data Science in Biology
ML Fundamentals
Influenza Vaccines and Data Science in Biology
365 Data Science Beginner 6y ago
Pieter Abeel on Potential Deep Learning Research Directions (2019)
ML Fundamentals
Pieter Abeel on Potential Deep Learning Research Directions (2019)
Weights & Biases Beginner 6y ago
Building Machine Learning Teams with Josh Tobin (2019)
ML Fundamentals ⚡ AI Lesson
Building Machine Learning Teams with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
ML Fundamentals ⚡ AI Lesson
Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
Lex Fridman Beginner 6y ago
Tutorial 1- Deployment of Models- Premises VS IAAS vs PAAS cloud Platforms
ML Fundamentals
Tutorial 1- Deployment of Models- Premises VS IAAS vs PAAS cloud Platforms
Krish Naik Beginner 6y ago
Neural Networks and Deep Learning: Crash Course AI #3
ML Fundamentals
Neural Networks and Deep Learning: Crash Course AI #3
CrashCourse Beginner 6y ago
Generating Celebrity Voices & Music
ML Fundamentals ⚡ AI Lesson
Generating Celebrity Voices & Music
Siraj Raval Beginner 6y ago
Standard Normal Distribution
ML Fundamentals
Standard Normal Distribution
365 Data Science Beginner 6y ago
New Approaches to Image and Video Reconstruction Using Deep Learning at Facebook at F8 2019
ML Fundamentals ⚡ AI Lesson
New Approaches to Image and Video Reconstruction Using Deep Learning at Facebook at F8 2019
PyTorch Beginner 6y ago
Powered by PyTorch at F8 2019
ML Fundamentals
Powered by PyTorch at F8 2019
PyTorch Beginner 6y ago
How a Biologist became a Data Scientist
ML Fundamentals
How a Biologist became a Data Scientist
Data Professor Beginner 6y ago
These books will help you learn machine learning
ML Fundamentals ⚡ AI Lesson
These books will help you learn machine learning
Daniel Bourke Beginner 6y ago
Model Understanding and Business Reality (TensorFlow Extended)
ML Fundamentals ⚡ AI Lesson
Model Understanding and Business Reality (TensorFlow Extended)
TensorFlow Beginner 6y ago
NASA Chief Scientist | Dr. Jim Green | Talks at Google
ML Fundamentals
NASA Chief Scientist | Dr. Jim Green | Talks at Google
Talks at Google Beginner 6y ago
Manifold Mixup: Better Representations by Interpolating Hidden States
ML Fundamentals
Manifold Mixup: Better Representations by Interpolating Hidden States
Yannic Kilcher Beginner 6y ago
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
ML Fundamentals
University of Illinois Master of Computer Science (& MCS-DS) - a top-ranked degree
Coursera Beginner 6y ago
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 6
ML Fundamentals ⚡ AI Lesson
TWiML x Fast ai Deep Learning From the Foundations Study Group - Lesson 6
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 43-Random Forest Classifier and Regressor
ML Fundamentals
Tutorial 43-Random Forest Classifier and Regressor
Krish Naik Beginner 6y ago
Tutorial 42 - Ensemble: What is Bagging (Bootstrap Aggregation)?
ML Fundamentals
Tutorial 42 - Ensemble: What is Bagging (Bootstrap Aggregation)?
Krish Naik Beginner 6y ago
How To Learn Data Science Smartly?
ML Fundamentals
How To Learn Data Science Smartly?
Krish Naik Beginner 6y ago
Tutorial 22- Padding in Convolutional Neural Network
ML Fundamentals
Tutorial 22- Padding in Convolutional Neural Network
Krish Naik Beginner 6y ago
Introduction to Machine Learning for Developers at F8 2019
ML Fundamentals
Introduction to Machine Learning for Developers at F8 2019
PyTorch Beginner 6y ago
PyTorch 1.2 and PyTorch Hub: A Quick Introduction by Soumith Chintala and Ailing Zhang
ML Fundamentals
PyTorch 1.2 and PyTorch Hub: A Quick Introduction by Soumith Chintala and Ailing Zhang
PyTorch Beginner 6y ago
Tips and Tricks on Hacking with PyTorch: A Quick Tutorial by Brad Heintz
ML Fundamentals
Tips and Tricks on Hacking with PyTorch: A Quick Tutorial by Brad Heintz
PyTorch Beginner 6y ago
Designing a Machine Learning Project with Neal Khosla (2019)
ML Fundamentals
Designing a Machine Learning Project with Neal Khosla (2019)
Weights & Biases Beginner 6y ago
Tutorial 21- What is Convolution operation in CNN?
ML Fundamentals
Tutorial 21- What is Convolution operation in CNN?
Krish Naik Beginner 6y ago
Tutorial 20- Convolution Neural Network vs Human Brain
ML Fundamentals
Tutorial 20- Convolution Neural Network vs Human Brain
Krish Naik Beginner 6y ago
What is PyTorch?
ML Fundamentals
What is PyTorch?
PyTorch Beginner 6y ago
Supervised Learning: Crash Course AI #2
ML Fundamentals
Supervised Learning: Crash Course AI #2
CrashCourse Beginner 6y ago
Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips
ML Fundamentals ⚡ AI Lesson
Tesla is Going to Win Level 5 - George Hotz | AI Podcast Clips
Lex Fridman Beginner 6y ago
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
ML Fundamentals ⚡ AI Lesson
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 37: Entropy In Decision Tree Intuition
ML Fundamentals
Tutorial 37: Entropy In Decision Tree Intuition
Krish Naik Beginner 6y ago
What is Cross Validation and its types?
ML Fundamentals
What is Cross Validation and its types?
Krish Naik Beginner 6y ago
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
ML Fundamentals
Tutorial 19- Training Artificial Neural Network using Google Colab GPU
Krish Naik Beginner 6y ago
Troubleshooting and Iterating ML Models with Lee Redden (2019)
ML Fundamentals
Troubleshooting and Iterating ML Models with Lee Redden (2019)
Weights & Biases Beginner 6y ago
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
ML Fundamentals
Applied Deep Learning - Troubleshooting and Debugging with Josh Tobin (2019)
Weights & Biases Beginner 6y ago
Distributed Processing and Components (TensorFlow Extended)
ML Fundamentals ⚡ AI Lesson
Distributed Processing and Components (TensorFlow Extended)
TensorFlow Beginner 6y ago
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
ML Fundamentals
Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
Krish Naik Beginner 6y ago
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
ML Fundamentals
Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
Krish Naik Beginner 6y ago
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
ML Fundamentals ⚡ AI Lesson
TWiML x Fast.ai Deep Learning Part 2 Study Group - Lesson 5
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 4- Book Recommendation using Collaborative Filtering
ML Fundamentals
Tutorial 4- Book Recommendation using Collaborative Filtering
Krish Naik Beginner 6y ago
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Identify Damaged Car Parts with Vertex AutoML Vision
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Self-paced
Identify Damaged Car Parts with Vertex AutoML Vision
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Optimizing AI Workflows and Deploying Edge Models
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Self-paced
Optimizing AI Workflows and Deploying Edge Models
Opens on Coursera ↗
Master Java Build Tools for ML Projects
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Self-paced
Master Java Build Tools for ML Projects
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Coding with Generative AI
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Self-paced
Coding with Generative AI
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No-Code AI Essentials: Master AI Concepts & Use Cases
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Self-paced
No-Code AI Essentials: Master AI Concepts & Use Cases
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Fake News Detection with Machine Learning
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Fake News Detection with Machine Learning
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