Foundations

ML Fundamentals

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

11,310
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
L1.2 What is Machine Learning?
ML Fundamentals
L1.2 What is Machine Learning?
Sebastian Raschka Beginner 5y ago
L1.1.2 Course Overview Part 2: Organization (Optional)
ML Fundamentals
L1.1.2 Course Overview Part 2: Organization (Optional)
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
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
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
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
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
Markov Chain Stationary Distribution : Data Science Concepts
ML Fundamentals
Markov Chain Stationary Distribution : Data Science Concepts
ritvikmath 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
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
Computational Linguistics: Crash Course Linguistics #15
ML Fundamentals
Computational Linguistics: Crash Course Linguistics #15
CrashCourse Beginner 5y ago
Study With Me on Coursera! ft. Michael Bassili
ML Fundamentals
Study With Me on Coursera! ft. Michael Bassili
Coursera Beginner 5y ago
Chris Anderson — Robocars, Drones, and WIRED Magazine
ML Fundamentals
Chris Anderson — Robocars, Drones, and WIRED Magazine
Weights & Biases Beginner 5y ago
Ep#8 - The revolution of Federated Learning
ML Fundamentals
Ep#8 - The revolution of Federated Learning
MLOps.community Beginner 5y ago
How Do I Manage My Time-Full time Job, Teaching And Family Time-Time Management-300K Special Video
ML Fundamentals
How Do I Manage My Time-Full time Job, Teaching And Family Time-Time Management-300K Special Video
Krish Naik Beginner 5y ago
Simple MNIST Convnet - Keras Code Examples
ML Fundamentals ⚡ AI Lesson
Simple MNIST Convnet - Keras Code Examples
Connor Shorten Beginner 5y ago
Ineuron's New Portal For Community Free And Affordable Courses
ML Fundamentals
Ineuron's New Portal For Community Free And Affordable Courses
Krish Naik Beginner 5y ago
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
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
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
Probability - Math for Machine Learning
ML Fundamentals
Probability - Math for Machine Learning
Weights & Biases Beginner 5y ago
Calculus - Math for Machine Learning
ML Fundamentals ⚡ AI Lesson
Calculus - Math for Machine Learning
Weights & Biases Beginner 5y ago
Linear Algebra - Math for Machine Learning
ML Fundamentals ⚡ AI Lesson
Linear Algebra - Math for Machine Learning
Weights & Biases Beginner 5y ago
What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
ML Fundamentals
What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Building a Dog Breed Identifier App from scratch - DogNet
ML Fundamentals
Building a Dog Breed Identifier App from scratch - DogNet
Aladdin Persson Beginner 5y ago
Past 10 Years Of AI 2010 - 2020-What All Innovation And Research We Saw?
ML Fundamentals
Past 10 Years Of AI 2010 - 2020-What All Innovation And Research We Saw?
Krish Naik Beginner 5y ago
Advance Python Series-Magic Methods In Classes
ML Fundamentals
Advance Python Series-Magic Methods In Classes
Krish Naik Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Linear Algebra: Linear Systems and Matrix Equations
📚 Coursera Course ↗
Self-paced
Linear Algebra: Linear Systems and Matrix Equations
Opens on Coursera ↗
Advanced Deployment Scenarios with TensorFlow
📚 Coursera Course ↗
Self-paced
Advanced Deployment Scenarios with TensorFlow
Opens on Coursera ↗
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
📚 Coursera Course ↗
Self-paced
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Opens on Coursera ↗
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia
📚 Coursera Course ↗
Self-paced
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia
Opens on Coursera ↗
Interest Rate Models
📚 Coursera Course ↗
Self-paced
Interest Rate Models
Opens on Coursera ↗
Julia Programming for Data Science and Machine Learning
📚 Coursera Course ↗
Self-paced
Julia Programming for Data Science and Machine Learning
Opens on Coursera ↗