Foundations

ML Fundamentals

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

11,238
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
L1.1.1 Course Overview Part 1: Motivation and Topics
ML Fundamentals
L1.1.1 Course Overview Part 1: Motivation and Topics
Sebastian Raschka Beginner 5y ago
L1.0 Intro to Deep Learning, Course Introduction
ML Fundamentals
L1.0 Intro to Deep Learning, Course Introduction
Sebastian Raschka Beginner 5y ago
Albumentations Tutorial for Data Augmentation (Pytorch focused)
ML Fundamentals ⚡ AI Lesson
Albumentations Tutorial for Data Augmentation (Pytorch focused)
Aladdin Persson Beginner 5y ago
2021 Microsoft Research Ada Lovelace Fellow: Demba Komma
ML Fundamentals
2021 Microsoft Research Ada Lovelace Fellow: Demba Komma
Microsoft Research Beginner 5y ago
Call for Reproducing Papers
ML Fundamentals
Call for Reproducing Papers
Weights & Biases Advanced 5y ago
Metropolis - Hastings : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Metropolis - Hastings : Data Science Concepts
ritvikmath Beginner 5y ago
How to serve any machine learning or deep learning model using FastAPI
ML Fundamentals
How to serve any machine learning or deep learning model using FastAPI
Abhishek Thakur Beginner 5y ago
Build your own neural network, Exercise 9
ML Fundamentals
Build your own neural network, Exercise 9
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 8
ML Fundamentals
Build your own neural network, Exercise 8
Brandon Rohrer Advanced 5y ago
Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy
ML Fundamentals
Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy
sentdex Advanced 5y ago
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
ML Fundamentals ⚡ AI Lesson
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
Patrick Loeber Beginner 5y ago
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
ML Fundamentals
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Parameters vs hyperparameters in machine learning
ML Fundamentals ⚡ AI Lesson
Parameters vs hyperparameters in machine learning
codebasics Beginner 5y ago
U-NET Paper Walkthrough
ML Fundamentals
U-NET Paper Walkthrough
Aladdin Persson Beginner 5y ago
Markov Chain Monte Carlo (MCMC) : Data Science Concepts
ML Fundamentals ⚡ AI Lesson
Markov Chain Monte Carlo (MCMC) : Data Science Concepts
ritvikmath Intermediate 5y ago
Greg Yang on Feature Learning in Infinite-Width Networks
ML Fundamentals ⚡ AI Lesson
Greg Yang on Feature Learning in Infinite-Width Networks
Weights & Biases Advanced 5y ago
First Live Q&A Of 2021 - Ask Anything Related  To Data Science
ML Fundamentals
First Live Q&A Of 2021 - Ask Anything Related To Data Science
Krish Naik Intermediate 5y ago
Time Series Forecasting with Machine Learning
ML Fundamentals ⚡ AI Lesson
Time Series Forecasting with Machine Learning
CodeEmporium Beginner 5y ago
Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI
ML Fundamentals
Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI
DeepFindr Beginner 5y ago
STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
ML Fundamentals ⚡ AI Lesson
STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
Yannic Kilcher Beginner 5y ago
Who said robots can't dance? | Machine Learning Monthly December 2020
ML Fundamentals
Who said robots can't dance? | Machine Learning Monthly December 2020
Daniel Bourke Beginner 5y ago
Computational Linguistics: Crash Course Linguistics #15
ML Fundamentals
Computational Linguistics: Crash Course Linguistics #15
CrashCourse Beginner 5y ago
Build your own neural network, Exercise 7
ML Fundamentals
Build your own neural network, Exercise 7
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 6
ML Fundamentals
Build your own neural network, Exercise 6
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 5
ML Fundamentals
Build your own neural network, Exercise 5
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 4
ML Fundamentals ⚡ AI Lesson
Build your own neural network, Exercise 4
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 3
ML Fundamentals
Build your own neural network, Exercise 3
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 2
ML Fundamentals ⚡ AI Lesson
Build your own neural network, Exercise 2
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 1
ML Fundamentals ⚡ AI Lesson
Build your own neural network, Exercise 1
Brandon Rohrer Advanced 5y ago
Intro to Python chapter 2.5, Building a timer
ML Fundamentals
Intro to Python chapter 2.5, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.4, Building a timer
ML Fundamentals
Intro to Python chapter 2.4, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.3, Building a timer
ML Fundamentals ⚡ AI Lesson
Intro to Python chapter 2.3, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.2, Building a timer
ML Fundamentals
Intro to Python chapter 2.2, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.1, Building a timer
ML Fundamentals ⚡ AI Lesson
Intro to Python chapter 2.1, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.0, Building a timer
ML Fundamentals
Intro to Python chapter 2.0, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.5, Building a clock
ML Fundamentals
Intro to Python chapter 1.5, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.4, Building a clock
ML Fundamentals ⚡ AI Lesson
Intro to Python chapter 1.4, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.3, Building a clock
ML Fundamentals
Intro to Python chapter 1.3, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.2, Building a clock
ML Fundamentals
Intro to Python chapter 1.2, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.1, Building a clock
ML Fundamentals
Intro to Python chapter 1.1, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.0, Building a clock
ML Fundamentals ⚡ AI Lesson
Intro to Python chapter 1.0, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python, Getting started
ML Fundamentals
Intro to Python, Getting started
Brandon Rohrer Beginner 5y ago
Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021
ML Fundamentals ⚡ AI Lesson
Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021
Aladdin Persson Beginner 5y ago
Markov Chain Stationary Distribution : Data Science Concepts
ML Fundamentals
Markov Chain Stationary Distribution : Data Science Concepts
ritvikmath Beginner 5y ago
He got 5 internships and 2 job offers | Interview with Zomato machine learning engineer
ML Fundamentals
He got 5 internships and 2 job offers | Interview with Zomato machine learning engineer
codebasics Intermediate 5y ago
Take a Smartphone, Add Wings: a history of drones with Chris Anderson | Gradient Dissent Clip
ML Fundamentals
Take a Smartphone, Add Wings: a history of drones with Chris Anderson | Gradient Dissent Clip
Weights & Biases Beginner 5y ago
Should I pursue data analyst masters in USA?
ML Fundamentals
Should I pursue data analyst masters in USA?
codebasics Beginner 5y ago
Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
ML Fundamentals ⚡ AI Lesson
Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
codebasics Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Fundamentals of Machine Learning
📚 Coursera Course ↗
Self-paced
Fundamentals of Machine Learning
Opens on Coursera ↗
Choose Cost-Effective ML Algorithms Fast
📚 Coursera Course ↗
Self-paced
Choose Cost-Effective ML Algorithms Fast
Opens on Coursera ↗
Developing Explainable AI (XAI)
📚 Coursera Course ↗
Self-paced
Developing Explainable AI (XAI)
Opens on Coursera ↗
Cloud Data Engineering
📚 Coursera Course ↗
Self-paced
Cloud Data Engineering
Opens on Coursera ↗
Analyze Financial Risk Using AI, Markets, and Governance
📚 Coursera Course ↗
Self-paced
Analyze Financial Risk Using AI, Markets, and Governance
Opens on Coursera ↗
Machine Learning
📚 Coursera Course ↗
Self-paced
Machine Learning
Opens on Coursera ↗