Foundations

ML Fundamentals

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

11,181
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
Videos 10,596 Reads 585
Level: All Beginner Intermediate Advanced
Any Length Short (<5m) Medium (5-20m) Long (>20m)
Newest Popular Oldest
The Role of Maths in Data Science and How to Learn?
ML Fundamentals
The Role of Maths in Data Science and How to Learn?
Krish Naik Intermediate 6y ago
How To Handle Missing Values in Categorical Features
ML Fundamentals
How To Handle Missing Values in Categorical Features
Krish Naik Intermediate 6y ago
Inside TensorFlow: tf.distribute.Strategy
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: tf.distribute.Strategy
TensorFlow Intermediate 6y ago
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
ML Fundamentals
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Yannic Kilcher Intermediate 6y ago
Multi Programming - Computerphile
ML Fundamentals ⚡ AI Lesson
Multi Programming - Computerphile
Computerphile Intermediate 6y ago
Onyx
ML Fundamentals ⚡ AI Lesson
Onyx
Data Skeptic Intermediate 6y ago
16. Video Frame Prediction using CNNs and LSTMs (2019)
ML Fundamentals
16. Video Frame Prediction using CNNs and LSTMs (2019)
Weights & Biases Intermediate 6y ago
Hyperparameter Tuning and Experimenting - Training Deep Neural Networks
ML Fundamentals ⚡ AI Lesson
Hyperparameter Tuning and Experimenting - Training Deep Neural Networks
deeplizard Intermediate 6y ago
Phoenix Realtime Chat Application - Channels, Presence, and Ecto Relations - Part 3
ML Fundamentals ⚡ AI Lesson
Phoenix Realtime Chat Application - Channels, Presence, and Ecto Relations - Part 3
Tensor Programming Intermediate 6y ago
ASU's Online Master of Computer Science [Admissions Q&A - July 11]
ML Fundamentals
ASU's Online Master of Computer Science [Admissions Q&A - July 11]
Coursera Intermediate 6y ago
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
ML Fundamentals ⚡ AI Lesson
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
The TWIML AI Podcast with Sam Charrington Intermediate 6y ago
Phoenix Realtime Chat Application - Authentication, Sessions and Plugs - Part 2
ML Fundamentals
Phoenix Realtime Chat Application - Authentication, Sessions and Plugs - Part 2
Tensor Programming Intermediate 6y ago
My first week running an online business
ML Fundamentals
My first week running an online business
Daniel Bourke Intermediate 6y ago
CNN Training Loop Explained - Neural Network Code Project
ML Fundamentals ⚡ AI Lesson
CNN Training Loop Explained - Neural Network Code Project
deeplizard Intermediate 6y ago
Inside TensorFlow: Functions, not sessions
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: Functions, not sessions
TensorFlow Intermediate 6y ago
Cosine Similarity and Cosine Distance
ML Fundamentals
Cosine Similarity and Cosine Distance
Krish Naik Intermediate 6y ago
Euclidean Distance and Manhattan Distance
ML Fundamentals
Euclidean Distance and Manhattan Distance
Krish Naik Intermediate 6y ago
Why Do I Teach? Motivations
ML Fundamentals
Why Do I Teach? Motivations
Krish Naik Intermediate 6y ago
Data Engineer vs Data Analyst vs Data Scientist
ML Fundamentals
Data Engineer vs Data Analyst vs Data Scientist
Krish Naik Intermediate 6y ago
What Do A Data Scientist Do?
ML Fundamentals
What Do A Data Scientist Do?
Krish Naik Intermediate 6y ago
Why Do We Need to Perform Feature Scaling?
ML Fundamentals
Why Do We Need to Perform Feature Scaling?
Krish Naik Intermediate 6y ago
Different Types of Feature Engineering Encoding Techniques
ML Fundamentals
Different Types of Feature Engineering Encoding Techniques
Krish Naik Intermediate 6y ago
How to Crack Data Science Interviews- Motivations
ML Fundamentals
How to Crack Data Science Interviews- Motivations
Krish Naik Intermediate 6y ago
What should be your Salary Expectation as a Data Scientist?
ML Fundamentals
What should be your Salary Expectation as a Data Scientist?
Krish Naik Intermediate 6y ago
Step By Step Transition Towards Data Science
ML Fundamentals
Step By Step Transition Towards Data Science
Krish Naik Intermediate 6y ago
Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
ML Fundamentals
Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables
Krish Naik Intermediate 6y ago
Complete Life Cycle of a Data Science Project
ML Fundamentals
Complete Life Cycle of a Data Science Project
Krish Naik Intermediate 6y ago
My Path on Becoming a Data Scientist- Motivation
ML Fundamentals
My Path on Becoming a Data Scientist- Motivation
Krish Naik Intermediate 6y ago
Train Test Split vs K Fold vs Stratified K fold Cross Validation
ML Fundamentals
Train Test Split vs K Fold vs Stratified K fold Cross Validation
Krish Naik Intermediate 6y ago
Tutorial 1- Weighted hybrid technique for Recommender system
ML Fundamentals
Tutorial 1- Weighted hybrid technique for Recommender system
Krish Naik Intermediate 6y ago
Python Application to Track Amazon Product Prices
ML Fundamentals
Python Application to Track Amazon Product Prices
Krish Naik Intermediate 6y ago
Recommendation Systems using Machine Learning
ML Fundamentals
Recommendation Systems using Machine Learning
Krish Naik Intermediate 6y ago
Tutorial 8- Exploding Gradient Problem in Neural Network
ML Fundamentals
Tutorial 8- Exploding Gradient Problem in Neural Network
Krish Naik Intermediate 6y ago
Tutorial 6-Chain Rule of Differentiation with BackPropagation
ML Fundamentals
Tutorial 6-Chain Rule of Differentiation with BackPropagation
Krish Naik Intermediate 6y ago
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
ML Fundamentals
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
Krish Naik Intermediate 6y ago
Tutorial 4: How to train Neural Network with BackPropogation
ML Fundamentals
Tutorial 4: How to train Neural Network with BackPropogation
Krish Naik Intermediate 6y ago
Malaria Disease Detection using Deep Learning
ML Fundamentals
Malaria Disease Detection using Deep Learning
Krish Naik Intermediate 6y ago
How to Read Dataset in Google Colab from Google Drive
ML Fundamentals
How to Read Dataset in Google Colab from Google Drive
Krish Naik Intermediate 6y ago
Finding an outlier in a dataset using Python
ML Fundamentals
Finding an outlier in a dataset using Python
Krish Naik Intermediate 6y ago
Diabetes Prediction using Machine Learning from Kaggle
ML Fundamentals
Diabetes Prediction using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
How to choose number of hidden layers and nodes in Neural Network
ML Fundamentals
How to choose number of hidden layers and nodes in Neural Network
Krish Naik Intermediate 6y ago
Why, How and When to Scale Features in Machine Learning?
ML Fundamentals
Why, How and When to Scale Features in Machine Learning?
Krish Naik Intermediate 6y ago
Credit card Risk Assessment using Machine Learning
ML Fundamentals
Credit card Risk Assessment using Machine Learning
Krish Naik Intermediate 6y ago
Phoenix Realtime Chat Application - Setting Up CRUD - Part 1
ML Fundamentals
Phoenix Realtime Chat Application - Setting Up CRUD - Part 1
Tensor Programming Intermediate 6y ago
DNA Sequencing Classifier using Machine Learning
ML Fundamentals
DNA Sequencing Classifier using Machine Learning
Krish Naik Intermediate 6y ago
Hyperparameter Optimization for Xgboost
ML Fundamentals
Hyperparameter Optimization for Xgboost
Krish Naik Intermediate 6y ago
Credit Card Fraud Detection using Machine Learning from Kaggle
ML Fundamentals
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik Intermediate 6y ago
Voting Classifier(Hard Voting and Soft Voting Classifier)
ML Fundamentals
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik Intermediate 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Cervical Cancer Risk Prediction Using Machine Learning
📚 Coursera Course ↗
Self-paced
Cervical Cancer Risk Prediction Using Machine Learning
Opens on Coursera ↗
Introduction to AI: Key Concepts and Applications
📚 Coursera Course ↗
Self-paced
Introduction to AI: Key Concepts and Applications
Opens on Coursera ↗
Introduction to AI
📚 Coursera Course ↗
Self-paced
Introduction to AI
Opens on Coursera ↗
AI For Everyone
📚 Coursera Course ↗
Self-paced
AI For Everyone
Opens on Coursera ↗
Algorithm Alchemy: Unlocking the Secrets of Machine Learning
📚 Coursera Course ↗
Self-paced
Algorithm Alchemy: Unlocking the Secrets of Machine Learning
Opens on Coursera ↗
Math for AI beginner part 1 Linear Algebra
📚 Coursera Course ↗
Self-paced
Math for AI beginner part 1 Linear Algebra
Opens on Coursera ↗