Foundations

ML Fundamentals

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

11,366
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
TensorFlow.js Community "Show & Tell" #5
ML Fundamentals ⚡ AI Lesson
TensorFlow.js Community "Show & Tell" #5
TensorFlow Beginner 5y ago
Building a Neural Network and How to Write Tests in Python | Real Python Podcast #54
ML Fundamentals
Building a Neural Network and How to Write Tests in Python | Real Python Podcast #54
Real Python Beginner 5y ago
Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning
ML Fundamentals
Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning
Krish Naik Beginner 5y ago
Vladlen Koltun — The Power of Simulation and Abstraction
ML Fundamentals
Vladlen Koltun — The Power of Simulation and Abstraction
Weights & Biases Beginner 5y ago
L14.3.2.2 ResNet-34 in PyTorch -- Code Example
ML Fundamentals
L14.3.2.2 ResNet-34 in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L14.3.2.1 ResNet Overview
ML Fundamentals
L14.3.2.1 ResNet Overview
Sebastian Raschka Beginner 5y ago
How (and why) to raise e to the power of a matrix | DE6
ML Fundamentals
How (and why) to raise e to the power of a matrix | DE6
3Blue1Brown Beginner 5y ago
Part 3-Model Creation-Audio Classification Project Using Deep Learning
ML Fundamentals
Part 3-Model Creation-Audio Classification Project Using Deep Learning
Krish Naik Beginner 5y ago
Silly Songs, Clearly Explained!!!
ML Fundamentals
Silly Songs, Clearly Explained!!!
StatQuest with Josh Starmer Beginner 5y ago
Bayesian Linear Regression : Data Science Concepts
ML Fundamentals
Bayesian Linear Regression : Data Science Concepts
ritvikmath Beginner 5y ago
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
ML Fundamentals ⚡ AI Lesson
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
ML Fundamentals ⚡ AI Lesson
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Learn NumPy In 30 Minutes
ML Fundamentals
Learn NumPy In 30 Minutes
Patrick Loeber Beginner 5y ago
AI Face Body and Hand Pose Detection with Python and Mediapipe
ML Fundamentals
AI Face Body and Hand Pose Detection with Python and Mediapipe
Nicholas Renotte Beginner 5y ago
Join with me to attend FREE AI Conference NVIDIA GTC: April 12 to 16
ML Fundamentals ⚡ AI Lesson
Join with me to attend FREE AI Conference NVIDIA GTC: April 12 to 16
codebasics Beginner 5y ago
AI+X: AI Innovation in Healthcare
ML Fundamentals
AI+X: AI Innovation in Healthcare
DeepLearningAI Beginner 5y ago
A Chat with Andrew on MLOps: From Model-centric to Data-centric AI
ML Fundamentals
A Chat with Andrew on MLOps: From Model-centric to Data-centric AI
DeepLearningAI Beginner 5y ago
Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
ML Fundamentals
Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
ProGAN implementation from scratch
ML Fundamentals
ProGAN implementation from scratch
Aladdin Persson Beginner 5y ago
Build by Small Pieces // Igor Lushchyk // MLOps Meetup #55 short clip
ML Fundamentals
Build by Small Pieces // Igor Lushchyk // MLOps Meetup #55 short clip
MLOps.community Beginner 5y ago
Autoencoder In PyTorch - Theory & Implementation
ML Fundamentals ⚡ AI Lesson
Autoencoder In PyTorch - Theory & Implementation
Patrick Loeber Beginner 5y ago
Operationalizing Machine Learning at a Large Financial Institution // Daniel Stahl //MLOps Meetup#56
ML Fundamentals
Operationalizing Machine Learning at a Large Financial Institution // Daniel Stahl //MLOps Meetup#56
MLOps.community Beginner 5y ago
MARCH MADNESS - Will My Machine Learning Model Beat Your Bracket?
ML Fundamentals
MARCH MADNESS - Will My Machine Learning Model Beat Your Bracket?
Ken Jee Beginner 5y ago
L14.3.1.2 VGG16 in PyTorch -- Code Example
ML Fundamentals
L14.3.1.2 VGG16 in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L14.3.1.1 VGG16 Overview
ML Fundamentals
L14.3.1.1 VGG16 Overview
Sebastian Raschka Beginner 5y ago
L14.3: Architecture Overview
ML Fundamentals
L14.3: Architecture Overview
Sebastian Raschka Beginner 5y ago
L14.2: Spatial Dropout and BatchNorm
ML Fundamentals
L14.2: Spatial Dropout and BatchNorm
Sebastian Raschka Beginner 5y ago
L14.1: Convolutions and Padding
ML Fundamentals
L14.1: Convolutions and Padding
Sebastian Raschka Beginner 5y ago
L14.0: Convolutional Neural Networks Architectures -- Lecture Overview
ML Fundamentals
L14.0: Convolutional Neural Networks Architectures -- Lecture Overview
Sebastian Raschka Beginner 5y ago
Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning
ML Fundamentals
Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning
Krish Naik Beginner 5y ago
Part 1-EDA-Audio Classification Project Using Deep Learning
ML Fundamentals
Part 1-EDA-Audio Classification Project Using Deep Learning
Krish Naik Beginner 5y ago
March 30th- Live Virtual Mock Interview From Mechanical To Data Scientist
ML Fundamentals
March 30th- Live Virtual Mock Interview From Mechanical To Data Scientist
Krish Naik Beginner 5y ago
March 29- Live Virtual Mock Interview For Fresher For Data Science Role-iNeuron Student
ML Fundamentals
March 29- Live Virtual Mock Interview For Fresher For Data Science Role-iNeuron Student
Krish Naik Beginner 5y ago
Follow These Playlist Before Interviews- Guide to Crack Data Science Interviews
ML Fundamentals
Follow These Playlist Before Interviews- Guide to Crack Data Science Interviews
Krish Naik Beginner 5y ago
Rainfall Prediction- Converting A Kaggle Project to End To End Machine Learning Project
ML Fundamentals
Rainfall Prediction- Converting A Kaggle Project to End To End Machine Learning Project
Krish Naik Beginner 5y ago
Friday Live Q&A Ask Anything RelatedData Science
ML Fundamentals
Friday Live Q&A Ask Anything RelatedData Science
Krish Naik Beginner 5y ago
Successful Career Transition Story From Fresher College Student To Data Science-Sameer Singh
ML Fundamentals
Successful Career Transition Story From Fresher College Student To Data Science-Sameer Singh
Krish Naik Beginner 5y ago
Amazing Initiative For School Kids By iNeuron
ML Fundamentals
Amazing Initiative For School Kids By iNeuron
Krish Naik Beginner 5y ago
Texthero-Text Preprocessing, Representation And Visualization From Zero to Hero.
ML Fundamentals
Texthero-Text Preprocessing, Representation And Visualization From Zero to Hero.
Krish Naik Beginner 5y ago
L13.9.3 AlexNet in PyTorch
ML Fundamentals
L13.9.3 AlexNet in PyTorch
Sebastian Raschka Beginner 5y ago
L13.9.2 Saving and Loading Models in PyTorch
ML Fundamentals
L13.9.2 Saving and Loading Models in PyTorch
Sebastian Raschka Beginner 5y ago
L13.9.1 LeNet-5 in PyTorch
ML Fundamentals
L13.9.1 LeNet-5 in PyTorch
Sebastian Raschka Beginner 5y ago
L13.8 What a CNN Can See
ML Fundamentals
L13.8 What a CNN Can See
Sebastian Raschka Beginner 5y ago
L13.7 CNN Architectures & AlexNet
ML Fundamentals
L13.7 CNN Architectures & AlexNet
Sebastian Raschka Beginner 5y ago
L13.6 CNNs & Backpropagation
ML Fundamentals
L13.6 CNNs & Backpropagation
Sebastian Raschka Beginner 5y ago
Lux - Python Library for Intelligent Visual Discovery
ML Fundamentals
Lux - Python Library for Intelligent Visual Discovery
Krish Naik Beginner 5y ago
Devops Vs MLOPS- Understand The Differences And Why IT is Important
ML Fundamentals
Devops Vs MLOPS- Understand The Differences And Why IT is Important
Krish Naik Beginner 5y ago
Day 4- MLOPS Continuous Integration And Model Tracking Using MLFlow- Machine Learning
ML Fundamentals
Day 4- MLOPS Continuous Integration And Model Tracking Using MLFlow- Machine Learning
Krish Naik Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Statistical Learning for Engineering Part 2
📚 Coursera Course ↗
Self-paced
Statistical Learning for Engineering Part 2
Opens on Coursera ↗
Introduction to Social Media Analytics
📚 Coursera Course ↗
Self-paced
Introduction to Social Media Analytics
Opens on Coursera ↗
Carbon Aware Computing for GenAI Developers
📚 Coursera Course ↗
Self-paced
Carbon Aware Computing for GenAI Developers
Opens on Coursera ↗
Fundamentals of  CNNs and RNNs
📚 Coursera Course ↗
Self-paced
Fundamentals of CNNs and RNNs
Opens on Coursera ↗
Interpretable Machine Learning Applications: Part 4
📚 Coursera Course ↗
Self-paced
Interpretable Machine Learning Applications: Part 4
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 ↗