Foundations

ML Fundamentals

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

13171
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
Multi-Dimensional Data (as used in Tensors) - Computerphile
ML Fundamentals
Multi-Dimensional Data (as used in Tensors) - Computerphile
Computerphile Intermediate 6y ago
PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
ML Fundamentals
PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
Patrick Loeber Beginner 6y ago
The Oxford Bank Governance Programme at Saïd Business School
ML Fundamentals
The Oxford Bank Governance Programme at Saïd Business School
Saïd Business School, University of Oxford Intermediate 6y ago
University of Illinois Master of Computer Science & MCS in Data Science Admissions Webinar
ML Fundamentals
University of Illinois Master of Computer Science & MCS in Data Science Admissions Webinar
Coursera Beginner 6y ago
Advance House Price Prediction-Feature Engineering Part 2
ML Fundamentals
Advance House Price Prediction-Feature Engineering Part 2
Krish Naik Beginner 6y ago
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
ML Fundamentals
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
The TWIML AI Podcast with Sam Charrington Advanced 6y ago
How Convolutions Work (TensorFlow in Practice)
ML Fundamentals
How Convolutions Work (TensorFlow in Practice)
DeepLearningAI Beginner 6y ago
Special Announcement: Approaching (almost) any machine learning problem
ML Fundamentals
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur Beginner 6y ago
Neural Structured Learning - Part 3: Training with synthesized graphs
ML Fundamentals
Neural Structured Learning - Part 3: Training with synthesized graphs
TensorFlow Beginner 6y ago
Different Type Of Criticism And How To Handle Them?- Motivation
ML Fundamentals
Different Type Of Criticism And How To Handle Them?- Motivation
Krish Naik Intermediate 6y ago
Oxford Impact Measurement Programme - Scholarships
ML Fundamentals
Oxford Impact Measurement Programme - Scholarships
Saïd Business School, University of Oxford Intermediate 6y ago
Causal Models in Machine Learning
ML Fundamentals
Causal Models in Machine Learning
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.
ML Fundamentals
Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.
StatQuest with Josh Starmer Beginner 6y ago
Heroes of Deep Learning: Pieter Abbeel and Andrej Karpathy on Getting Started
ML Fundamentals
Heroes of Deep Learning: Pieter Abbeel and Andrej Karpathy on Getting Started
DeepLearningAI Beginner 6y ago
Python Machine Learning Tutorial #6 - K-Means Clustering
ML Fundamentals
Python Machine Learning Tutorial #6 - K-Means Clustering
NeuralNine Beginner 6y ago
Data Analyst vs Data Engineer vs Data Scientist
ML Fundamentals
Data Analyst vs Data Engineer vs Data Scientist
codebasics Beginner 6y ago
What is a stack and how does it work? — 6502 part 5
ML Fundamentals
What is a stack and how does it work? — 6502 part 5
Ben Eater Beginner 6y ago
Neural Structured Learning - Part 2: Training with natural graphs
ML Fundamentals
Neural Structured Learning - Part 2: Training with natural graphs
TensorFlow Beginner 6y ago
Visualization and Interpretability
ML Fundamentals
Visualization and Interpretability
Data Skeptic Beginner 6y ago
What is Semi-Supervised Learning | Machine Learning basics explained for beginners 6
ML Fundamentals
What is Semi-Supervised Learning | Machine Learning basics explained for beginners 6
What's AI by Louis-François Bouchard Beginner 6y ago
PyTorch Tutorial 13 - Feed-Forward Neural Network
ML Fundamentals
PyTorch Tutorial 13 - Feed-Forward Neural Network
Patrick Loeber Beginner 6y ago
Edge Detection in Python : Data Science Code
ML Fundamentals
Edge Detection in Python : Data Science Code
ritvikmath Intermediate 6y ago
Python Machine Learning Tutorial #5 - Decision Trees and Random Forest Classification
ML Fundamentals
Python Machine Learning Tutorial #5 - Decision Trees and Random Forest Classification
NeuralNine Beginner 6y ago
Using Regular Expressions - Computerphile
ML Fundamentals
Using Regular Expressions - Computerphile
Computerphile Intermediate 6y ago
What is Unsupervised Learning | Machine Learning basics explained for beginners 5
ML Fundamentals
What is Unsupervised Learning | Machine Learning basics explained for beginners 5
What's AI by Louis-François Bouchard Beginner 6y ago
ritvikmath : data science for all
ML Fundamentals
ritvikmath : data science for all
ritvikmath Intermediate 6y ago
This Neural Network Combines Motion Capture and Physics
ML Fundamentals
This Neural Network Combines Motion Capture and Physics
Two Minute Papers Beginner 6y ago
Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series
ML Fundamentals
Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series
Lex Fridman Beginner 6y ago
1. Introduction for 15.S12 Blockchain and Money, Fall 2018
ML Fundamentals
1. Introduction for 15.S12 Blockchain and Money, Fall 2018
MIT OpenCourseWare Beginner 6y ago
3. Blockchain Basics & Cryptography
ML Fundamentals
3. Blockchain Basics & Cryptography
MIT OpenCourseWare Beginner 6y ago
Deep Learning for Coders Study Group - Session #7
ML Fundamentals
Deep Learning for Coders Study Group - Session #7
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Advance House Price Prediction-Feature Engineering Part 1
ML Fundamentals
Advance House Price Prediction-Feature Engineering Part 1
Krish Naik Advanced 6y ago
Live Q&A ANSWERING YOUR QUESTIONS
ML Fundamentals
Live Q&A ANSWERING YOUR QUESTIONS
Krish Naik Intermediate 6y ago
Gartner Hype Cycle For Artificial Intelligence 2019
ML Fundamentals
Gartner Hype Cycle For Artificial Intelligence 2019
Krish Naik Intermediate 6y ago
Is Data Science, Machine Learning, Deep Learning Evergreen Jobs?
ML Fundamentals
Is Data Science, Machine Learning, Deep Learning Evergreen Jobs?
Krish Naik Beginner 6y ago
Inside TensorFlow: TF Filesystems
ML Fundamentals
Inside TensorFlow: TF Filesystems
TensorFlow Intermediate 6y ago
Everards Brewery  -  Discovering A Sense of Purpose
ML Fundamentals
Everards Brewery - Discovering A Sense of Purpose
Saïd Business School, University of Oxford Advanced 6y ago
How To Decide Whether Data Science Is Right For You?
ML Fundamentals
How To Decide Whether Data Science Is Right For You?
Krish Naik Intermediate 6y ago
Oxford Impact Investing Webinar - Ask the Expert
ML Fundamentals
Oxford Impact Investing Webinar - Ask the Expert
Saïd Business School, University of Oxford Advanced 6y ago
Impact Of Artificial Intelligence On HealthCare
ML Fundamentals
Impact Of Artificial Intelligence On HealthCare
Krish Naik Intermediate 6y ago
Causality 101 with Robert Ness - #342
ML Fundamentals
Causality 101 with Robert Ness - #342
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 34- Performance Metrics For Classification Problem In Machine Learning- Part1
ML Fundamentals
Tutorial 34- Performance Metrics For Classification Problem In Machine Learning- Part1
Krish Naik Beginner 6y ago
Step By Step Action Plan For Learning Data Science in 2020
ML Fundamentals
Step By Step Action Plan For Learning Data Science in 2020
Krish Naik Intermediate 6y ago
Salary Of Data Scientist In India And US In 2020
ML Fundamentals
Salary Of Data Scientist In India And US In 2020
Krish Naik Intermediate 6y ago
We Reached 100k Subscribers. This Video is Dedicated To You All
ML Fundamentals
We Reached 100k Subscribers. This Video is Dedicated To You All
Krish Naik Intermediate 6y ago
Python Machine Learning #4 - Support Vector Machines
ML Fundamentals
Python Machine Learning #4 - Support Vector Machines
NeuralNine Beginner 6y ago
21. Post Trade Clearing, Settlement & Processing
ML Fundamentals
21. Post Trade Clearing, Settlement & Processing
MIT OpenCourseWare Intermediate 6y ago
Hello World on Sega Megadrive - Computerphile
ML Fundamentals
Hello World on Sega Megadrive - Computerphile
Computerphile Intermediate 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Responsible AI: Applying AI Principles with Google Cloud - Deutsch
📚 Coursera Course ↗
Self-paced
Responsible AI: Applying AI Principles with Google Cloud - Deutsch
Opens on Coursera ↗
Optimize Deep Learning: Stabilize and Diagnose Models
📚 Coursera Course ↗
Self-paced
Optimize Deep Learning: Stabilize and Diagnose Models
Opens on Coursera ↗
Modeling Data in the Tidyverse
📚 Coursera Course ↗
Self-paced
Modeling Data in the Tidyverse
Opens on Coursera ↗
Applied Machine Learning and Model Optimization
📚 Coursera Course ↗
Self-paced
Applied Machine Learning and Model Optimization
Opens on Coursera ↗
Deep Learning Frameworks and Neural Networks Simplified
📚 Coursera Course ↗
Self-paced
Deep Learning Frameworks and Neural Networks Simplified
Opens on Coursera ↗
TensorFlow Prediction: Identify Penguin Species
📚 Coursera Course ↗
Self-paced
TensorFlow Prediction: Identify Penguin Species
Opens on Coursera ↗