Foundations

ML Fundamentals

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

11,398
lessons
Skills in this topic
View full skill map →
ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Make_Pipelines using Sklearn- Hyperparameter Tuning - Machine Learning
ML Fundamentals
Make_Pipelines using Sklearn- Hyperparameter Tuning - Machine Learning
Krish Naik Beginner 6y ago
Python Machine Learning Tutorial #2 - Linear Regression
ML Fundamentals ⚡ AI Lesson
Python Machine Learning Tutorial #2 - Linear Regression
NeuralNine Beginner 6y ago
Tutorial 7: Deploying Machine Learning Models In Azure Cloud
ML Fundamentals
Tutorial 7: Deploying Machine Learning Models In Azure Cloud
Krish Naik Beginner 6y ago
Rust Testing and TDD - An Intro to Testing and Test Driven Development
ML Fundamentals
Rust Testing and TDD - An Intro to Testing and Test Driven Development
Tensor Programming Beginner 6y ago
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
TensorFlow Advanced 6y ago
Daniel Kahneman: Deep Learning (System 1 and System 2) | AI Podcast Clips
ML Fundamentals
Daniel Kahneman: Deep Learning (System 1 and System 2) | AI Podcast Clips
Lex Fridman Advanced 6y ago
Grant Sanderson (3Blue1Brown): Is Math Discovered or Invented? | AI Podcast Clips
ML Fundamentals
Grant Sanderson (3Blue1Brown): Is Math Discovered or Invented? | AI Podcast Clips
Lex Fridman Advanced 6y ago
The Kriging Model : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
The Kriging Model : Data Science Concepts
ritvikmath Intermediate 6y ago
Deep Learning for Coders Study Group - Session #6
ML Fundamentals ⚡ AI Lesson
Deep Learning for Coders Study Group - Session #6
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Deep Learning for Coders Study Group - Session #5
ML Fundamentals ⚡ AI Lesson
Deep Learning for Coders Study Group - Session #5
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
PyTorch Tutorial 11 - Softmax and Cross Entropy
ML Fundamentals
PyTorch Tutorial 11 - Softmax and Cross Entropy
Patrick Loeber Beginner 6y ago
Python Machine Learning Tutorial #1 - What is Machine Learning?
ML Fundamentals ⚡ AI Lesson
Python Machine Learning Tutorial #1 - What is Machine Learning?
NeuralNine Beginner 6y ago
What is Deep Learning | Introduction to DL for beginners in a minute 3
ML Fundamentals ⚡ AI Lesson
What is Deep Learning | Introduction to DL for beginners in a minute 3
What's AI by Louis-François Bouchard Beginner 6y ago
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
ML Fundamentals ⚡ AI Lesson
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
CodeEmporium Advanced 6y ago
Master of Computer Science/Master of Computer Science Data Science | University of Illinois Webinar
ML Fundamentals
Master of Computer Science/Master of Computer Science Data Science | University of Illinois Webinar
Coursera Beginner 6y ago
Neural Networks from Scratch announcement
ML Fundamentals
Neural Networks from Scratch announcement
sentdex Beginner 6y ago
What is Machine Learning? | Introduction to ML for beginners in a minute 2
ML Fundamentals
What is Machine Learning? | Introduction to ML for beginners in a minute 2
What's AI by Louis-François Bouchard Beginner 6y ago
Regular Expressions - Computerphile
ML Fundamentals ⚡ AI Lesson
Regular Expressions - Computerphile
Computerphile Intermediate 6y ago
Tips N Tricks #2: Setting up development environment for machine learning
ML Fundamentals
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur Beginner 6y ago
PyTorch Tutorial 10 - Dataset Transforms
ML Fundamentals ⚡ AI Lesson
PyTorch Tutorial 10 - Dataset Transforms
Patrick Loeber Beginner 6y ago
Interpretability
ML Fundamentals ⚡ AI Lesson
Interpretability
Data Skeptic Beginner 6y ago
Live 2020-01-06!!! Sample Sizes, ML vs Statistics and a Poem
ML Fundamentals
Live 2020-01-06!!! Sample Sizes, ML vs Statistics and a Poem
StatQuest with Josh Starmer Beginner 6y ago
Episode 2: A Cross Validation Framework
ML Fundamentals
Episode 2: A Cross Validation Framework
Abhishek Thakur Beginner 6y ago
Meet your advisor   Gwen  3
ML Fundamentals
Meet your advisor Gwen 3
Coursera Beginner 6y ago
Artificial Intelligence in 2020
ML Fundamentals
Artificial Intelligence in 2020
Connor Shorten Beginner 6y ago
Performing Hyper Parameter Tuning Using Pipeline In Sklearn- Machine Learning
ML Fundamentals
Performing Hyper Parameter Tuning Using Pipeline In Sklearn- Machine Learning
Krish Naik Beginner 6y ago
Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI | Lex Fridman Podcast #65
ML Fundamentals
Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI | Lex Fridman Podcast #65
Lex Fridman Beginner 6y ago
Creating Pipelines Using SKlearn- Machine Learning Tutorial
ML Fundamentals
Creating Pipelines Using SKlearn- Machine Learning Tutorial
Krish Naik Beginner 6y ago
Lex Fridman: Recipe for Progress in AI (Hard Work)
ML Fundamentals
Lex Fridman: Recipe for Progress in AI (Hard Work)
Lex Fridman Beginner 6y ago
Lex Fridman: Best Way to Understand the Mind is to Build It
ML Fundamentals ⚡ AI Lesson
Lex Fridman: Best Way to Understand the Mind is to Build It
Lex Fridman Beginner 6y ago
Tutorial 6 :Deployment of Machine Learning Models in Google Cloud Platform
ML Fundamentals
Tutorial 6 :Deployment of Machine Learning Models in Google Cloud Platform
Krish Naik Beginner 6y ago
Top PGDM Colleges For Data Science In India
ML Fundamentals
Top PGDM Colleges For Data Science In India
Krish Naik Intermediate 6y ago
Best Python Books To Read In 2020
ML Fundamentals
Best Python Books To Read In 2020
Krish Naik Intermediate 6y ago
Auto Sklearn Tutorial- Quickly Selecting Machine Learning Algorithm and HyperTuning It
ML Fundamentals
Auto Sklearn Tutorial- Quickly Selecting Machine Learning Algorithm and HyperTuning It
Krish Naik Beginner 6y ago
Story Telling- Important Aspects In Data Science
ML Fundamentals
Story Telling- Important Aspects In Data Science
Krish Naik Intermediate 6y ago
PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training
ML Fundamentals
PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training
Patrick Loeber Advanced 6y ago
Best Free Data Sets For Data Science Projects
ML Fundamentals
Best Free Data Sets For Data Science Projects
Krish Naik Intermediate 6y ago
Best Free Books For Learning Data Science in 2020
ML Fundamentals
Best Free Books For Learning Data Science in 2020
Krish Naik Beginner 6y ago
Tutorial 32- Problems In Simple Recurrent Neural Network
ML Fundamentals
Tutorial 32- Problems In Simple Recurrent Neural Network
Krish Naik Beginner 6y ago
Tutorial 31- Back Propagation In Recurrent Neural Network
ML Fundamentals
Tutorial 31- Back Propagation In Recurrent Neural Network
Krish Naik Beginner 6y ago
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
ML Fundamentals ⚡ AI Lesson
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
PyTorch Tutorial 08 - Logistic Regression
ML Fundamentals ⚡ AI Lesson
PyTorch Tutorial 08 - Logistic Regression
Patrick Loeber Beginner 6y ago
PyTorch Tutorial 07 - Linear Regression
ML Fundamentals
PyTorch Tutorial 07 - Linear Regression
Patrick Loeber Beginner 6y ago
Important Steps To Improve Your Programming Skills
ML Fundamentals
Important Steps To Improve Your Programming Skills
Krish Naik Intermediate 6y ago
PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
ML Fundamentals
PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
Patrick Loeber Advanced 6y ago
Deep Learning for Coders Study Group - Session #2
ML Fundamentals ⚡ AI Lesson
Deep Learning for Coders Study Group - Session #2
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
ML Fundamentals ⚡ AI Lesson
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
Tutorial 30- Recurrent Neural Network Forward Propogation With Time
ML Fundamentals
Tutorial 30- Recurrent Neural Network Forward Propogation With Time
Krish Naik Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Deep-Dive into Tensorflow Activation Functions
📚 Coursera Course ↗
Self-paced
Deep-Dive into Tensorflow Activation Functions
Opens on Coursera ↗
Four Rare Machine Learning Skills All Data Scientists Need
📚 Coursera Course ↗
Self-paced
Four Rare Machine Learning Skills All Data Scientists Need
Opens on Coursera ↗
Applied Machine Learning Systems with FastAPI for Developers
📚 Coursera Course ↗
Self-paced
Applied Machine Learning Systems with FastAPI for Developers
Opens on Coursera ↗
Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators
📚 Coursera Course ↗
Self-paced
Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators
Opens on Coursera ↗
Machine Learning e Data Mining in R
📚 Coursera Course ↗
Self-paced
Machine Learning e Data Mining in R
Opens on Coursera ↗
Carbon Aware Computing for GenAI Developers
📚 Coursera Course ↗
Self-paced
Carbon Aware Computing for GenAI Developers
Opens on Coursera ↗