✕ Clear filters
10,622 lessons

📐 ML Fundamentals

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

All ▶ YouTube 185,662📚 Coursera 16,648
Pytorch Quick Tip: Weight Initialization
ML Fundamentals ⚡ AI Lesson
Pytorch Quick Tip: Weight Initialization
Aladdin Persson Beginner 6y ago
3 key parts to Machine Learning monitoring
ML Fundamentals
3 key parts to Machine Learning monitoring
MLOps.community Intermediate 6y ago
Auto retrain ML models is not the question
ML Fundamentals ⚡ AI Lesson
Auto retrain ML models is not the question
MLOps.community Intermediate 6y ago
Pytorch Data Augmentation using Torchvision
ML Fundamentals
Pytorch Data Augmentation using Torchvision
Aladdin Persson Beginner 6y ago
How to Transition Into Data Science: From Economics to Data Science
ML Fundamentals
How to Transition Into Data Science: From Economics to Data Science
365 Data Science Beginner 6y ago
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
ML Fundamentals
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
Krish Naik Beginner 6y ago
Data Science Demystified - An Essential Introduction
ML Fundamentals
Data Science Demystified - An Essential Introduction
What's AI by Louis-François Bouchard Beginner 6y ago
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 2/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 2/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Python Tutorial : When should I use XGBoost?
ML Fundamentals ⚡ AI Lesson
Python Tutorial : When should I use XGBoost?
DataCamp Beginner 6y ago
Taming Kerberos - Computerphile
ML Fundamentals ⚡ AI Lesson
Taming Kerberos - Computerphile
Computerphile Intermediate 6y ago
My Recording Gears For Data Science Videos
ML Fundamentals
My Recording Gears For Data Science Videos
Krish Naik Intermediate 6y ago
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Rachael Tatman — Conversational AI and Linguistics
ML Fundamentals
Rachael Tatman — Conversational AI and Linguistics
Weights & Biases Beginner 6y ago
Why use GPU with Neural Networks?
ML Fundamentals ⚡ AI Lesson
Why use GPU with Neural Networks?
CodeEmporium Beginner 6y ago
Ask a Machine Learning Engineer Anything (live) | April 2020
ML Fundamentals
Ask a Machine Learning Engineer Anything (live) | April 2020
Daniel Bourke Beginner 6y ago
What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20
ML Fundamentals
What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20
What's AI by Louis-François Bouchard Beginner 6y ago
How to learn coding for beginners | Learn coding for free | learn coding from scratch
ML Fundamentals
How to learn coding for beginners | Learn coding for free | learn coding from scratch
codebasics Beginner 6y ago
Python Tutorial: Dive into Python
ML Fundamentals
Python Tutorial: Dive into Python
DataCamp Beginner 6y ago
Advance your career in Data Science with the IBM Data Science Professional Certificate
ML Fundamentals
Advance your career in Data Science with the IBM Data Science Professional Certificate
Coursera Beginner 6y ago
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
ML Fundamentals ⚡ AI Lesson
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
Saïd Business School, University of Oxford Intermediate 6y ago
How Linear Algebra is not like Algebra with Charles Frye
ML Fundamentals
How Linear Algebra is not like Algebra with Charles Frye
Weights & Biases Advanced 6y ago
Inside TensorFlow: tf.data + tf.distribute
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: tf.data + tf.distribute
TensorFlow Advanced 6y ago
Accelerate models with TFLite Delegates (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Accelerate models with TFLite Delegates (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Developing a Machine Learning Feature Store
ML Fundamentals
Developing a Machine Learning Feature Store
MLOps.community Intermediate 6y ago
Evolution of the ML feature store @SurveyMonkey
ML Fundamentals
Evolution of the ML feature store @SurveyMonkey
MLOps.community Intermediate 6y ago
Doing ML with Personal Information
ML Fundamentals ⚡ AI Lesson
Doing ML with Personal Information
MLOps.community Intermediate 6y ago
How do you handle ML version control at SurveyMonkey
ML Fundamentals
How do you handle ML version control at SurveyMonkey
MLOps.community Intermediate 6y ago
Hybrid Data Science Teams @SurveyMonkey
ML Fundamentals ⚡ AI Lesson
Hybrid Data Science Teams @SurveyMonkey
MLOps.community Intermediate 6y ago
Message buses, Async and sync architecture
ML Fundamentals
Message buses, Async and sync architecture
MLOps.community Intermediate 6y ago
ML Services Gateway at SurveyMonkey
ML Fundamentals
ML Services Gateway at SurveyMonkey
MLOps.community Intermediate 6y ago
ML Platforms - The build vs buy question
ML Fundamentals
ML Platforms - The build vs buy question
MLOps.community Intermediate 6y ago
Pytorch Transfer Learning and Fine Tuning Tutorial
ML Fundamentals
Pytorch Transfer Learning and Fine Tuning Tutorial
Aladdin Persson Beginner 6y ago
How to build custom Datasets for Images in Pytorch
ML Fundamentals
How to build custom Datasets for Images in Pytorch
Aladdin Persson Intermediate 6y ago
How to save and load models in Pytorch
ML Fundamentals ⚡ AI Lesson
How to save and load models in Pytorch
Aladdin Persson Intermediate 6y ago
Pytorch GoogLeNet / InceptionNet implementation from scratch
ML Fundamentals
Pytorch GoogLeNet / InceptionNet implementation from scratch
Aladdin Persson Intermediate 6y ago
Why Domain Knowledge Is Important For Data Scientist?
ML Fundamentals
Why Domain Knowledge Is Important For Data Scientist?
Krish Naik Intermediate 6y ago
Pytorch LeNet implementation from scratch
ML Fundamentals ⚡ AI Lesson
Pytorch LeNet implementation from scratch
Aladdin Persson Advanced 6y ago
Pytorch CNN example (Convolutional Neural Network)
ML Fundamentals ⚡ AI Lesson
Pytorch CNN example (Convolutional Neural Network)
Aladdin Persson Intermediate 6y ago
Pytorch Neural Network example
ML Fundamentals
Pytorch Neural Network example
Aladdin Persson Intermediate 6y ago
How Do I Learn Complex Topics In Machine Learning And Deep Learning?
ML Fundamentals
How Do I Learn Complex Topics In Machine Learning And Deep Learning?
Krish Naik Beginner 6y ago
Python Tutorial: Data distributions and transformations
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Data distributions and transformations
DataCamp Beginner 6y ago
Python Tutorial: Handling missing data
ML Fundamentals
Python Tutorial: Handling missing data
DataCamp Beginner 6y ago
Linear Regression Gradient Descent From Scratch in Python
ML Fundamentals ⚡ AI Lesson
Linear Regression Gradient Descent From Scratch in Python
Aladdin Persson Beginner 6y ago
Derivation Linear Regression with Gradient Descent
ML Fundamentals ⚡ AI Lesson
Derivation Linear Regression with Gradient Descent
Aladdin Persson Beginner 6y ago
Testing Machine Learning Models with Eric Schles
ML Fundamentals
Testing Machine Learning Models with Eric Schles
Weights & Biases Advanced 6y ago
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
ML Fundamentals ⚡ AI Lesson
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
Weights & Biases Beginner 6y ago
Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19
ML Fundamentals
What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19
What's AI by Louis-François Bouchard Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Fundamental MATLAB Programming for AI
📚 Coursera Course ↗
Self-paced
Fundamental MATLAB Programming for AI
Opens on Coursera ↗
Machine Learning: Classification
📚 Coursera Course ↗
Self-paced
Machine Learning: Classification
Opens on Coursera ↗
Machine Learning with Python & Statistics
📚 Coursera Course ↗
Self-paced
Machine Learning with Python & Statistics
Opens on Coursera ↗
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
📚 Coursera Course ↗
Self-paced
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Opens on Coursera ↗
Create (Artificial Intelligence) AI VIDEOS WITH ZERO FILMING
📚 Coursera Course ↗
Self-paced
Create (Artificial Intelligence) AI VIDEOS WITH ZERO FILMING
Opens on Coursera ↗
NVIDIA: Fundamentals of Deep Learning
📚 Coursera Course ↗
Self-paced
NVIDIA: Fundamentals of Deep Learning
Opens on Coursera ↗