Foundations

ML Fundamentals

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

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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
Introduction to Binary Search (Data Structures & Algorithms #10)
ML Fundamentals
Introduction to Binary Search (Data Structures & Algorithms #10)
CS Dojo Beginner 5y ago
Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
ML Fundamentals
Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
Microsoft Research Beginner 5y ago
Neural Augmentation for Wireless Communication with Max Welling - #398
ML Fundamentals
Neural Augmentation for Wireless Communication with Max Welling - #398
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Live- Discussion On Cross Validation Techniques And Selection of Machine Learning Algorithms
ML Fundamentals
Live- Discussion On Cross Validation Techniques And Selection of Machine Learning Algorithms
Krish Naik Beginner 5y ago
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
ML Fundamentals
Dive into Deep Learning (Study Group): Multilayer Perceptrons | Session 4
Elvis Saravia Beginner 5y ago
Are courses enough for a job? | Machine learning engineer livestream Q&A
ML Fundamentals
Are courses enough for a job? | Machine learning engineer livestream Q&A
Daniel Bourke Intermediate 5y ago
Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery
ML Fundamentals
Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery
Weights & Biases Beginner 5y ago
Live Transition Story Of Civil Engineer To Data Scientist With 2 Years Gap
ML Fundamentals
Live Transition Story Of Civil Engineer To Data Scientist With 2 Years Gap
Krish Naik Intermediate 5y ago
Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
ML Fundamentals
Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
Patrick Loeber Beginner 5y ago
Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
ML Fundamentals
Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
codebasics Beginner 5y ago
Convolutional Neural Network Predictions with TensorFlow's Keras API
ML Fundamentals
Convolutional Neural Network Predictions with TensorFlow's Keras API
deeplizard Intermediate 5y ago
Reviewing Your Data Science Projects - Episode 14 [Deep Learning Focus]
ML Fundamentals
Reviewing Your Data Science Projects - Episode 14 [Deep Learning Focus]
Ken Jee Beginner 5y ago
TWIML Webinar: "Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker"
ML Fundamentals
TWIML Webinar: "Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker"
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Data Science PC Configs: From Low Range to Super-High Range
ML Fundamentals
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur Beginner 5y ago
Dive into Deep Learning (Study Group): Introduction to Deep Learning | Session 1
ML Fundamentals
Dive into Deep Learning (Study Group): Introduction to Deep Learning | Session 1
Elvis Saravia Beginner 5y ago
HOW TO LEARN DEEP LEARNING - The Most Efficient Way To Go From Beginner to Advanced
ML Fundamentals
HOW TO LEARN DEEP LEARNING - The Most Efficient Way To Go From Beginner to Advanced
Aladdin Persson Beginner 5y ago
Build Your First Machine Learning AI With Neural Networks
ML Fundamentals
Build Your First Machine Learning AI With Neural Networks
Web Dev Simplified Intermediate 5y ago
Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
ML Fundamentals
Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
codebasics Beginner 5y ago
MLOps Day Conference - We Sponsored a Conference!
ML Fundamentals
MLOps Day Conference - We Sponsored a Conference!
MLOps.community Intermediate 5y ago
Build FAST Machine Learning Apps with Javascript React.Js and Watson || Python ML PT.6
ML Fundamentals
Build FAST Machine Learning Apps with Javascript React.Js and Watson || Python ML PT.6
Nicholas Renotte Intermediate 5y ago
Talks # 8: Sebastián Ramírez; Build a machine learning API  from scratch  with FastAPI
ML Fundamentals
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur Beginner 5y ago
Pytorch Quick Tip: Calculate Mean and Standard Deviation of Data
ML Fundamentals
Pytorch Quick Tip: Calculate Mean and Standard Deviation of Data
Aladdin Persson Beginner 5y ago
Manolis Kellis: Human Genome and Evolutionary Dynamics | Lex Fridman Podcast #113
ML Fundamentals
Manolis Kellis: Human Genome and Evolutionary Dynamics | Lex Fridman Podcast #113
Lex Fridman Beginner 5y ago
"Real" Programmers & Drum Memory - Computerphile
ML Fundamentals
"Real" Programmers & Drum Memory - Computerphile
Computerphile Intermediate 5y ago
I Built a Personal Speech Recognition System for my AI Assistant
ML Fundamentals
I Built a Personal Speech Recognition System for my AI Assistant
The AI Hacker Intermediate 5y ago
Frontiers in Machine Learning: Security and Machine Learning
ML Fundamentals
Frontiers in Machine Learning: Security and Machine Learning
Microsoft Research Beginner 5y ago
Build and Train a Convolutional Neural Network with TensorFlow's Keras API
ML Fundamentals
Build and Train a Convolutional Neural Network with TensorFlow's Keras API
deeplizard Intermediate 5y ago
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
ML Fundamentals
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
MLOps.community Beginner 5y ago
Introduction to Trees (Data Structures & Algorithms #9)
ML Fundamentals
Introduction to Trees (Data Structures & Algorithms #9)
CS Dojo Beginner 5y ago
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
ML Fundamentals
[Classic] ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)
Yannic Kilcher Beginner 5y ago
Step By Step Playlist To Follow To Learn Data Science Through My Channel - Part 2
ML Fundamentals
Step By Step Playlist To Follow To Learn Data Science Through My Channel - Part 2
Krish Naik Beginner 5y ago
Step By Step Playlist To Follow To Learn Data Science Through My Channel Part 1- Must for Everyone
ML Fundamentals
Step By Step Playlist To Follow To Learn Data Science Through My Channel Part 1- Must for Everyone
Krish Naik Beginner 5y ago
Live Discussion On Outlier And Its Impacts On Machine Learning UseCases
ML Fundamentals
Live Discussion On Outlier And Its Impacts On Machine Learning UseCases
Krish Naik Beginner 5y ago
Live Discussion On Handling Imbalanced Dataset- Machine Learning
ML Fundamentals
Live Discussion On Handling Imbalanced Dataset- Machine Learning
Krish Naik Beginner 5y ago
NVIDIA TITAN RTX UNBOXING
ML Fundamentals
NVIDIA TITAN RTX UNBOXING
codebasics Beginner 5y ago
Pytorch Quick Tip: Reproducible Results and Deterministic Behavior
ML Fundamentals
Pytorch Quick Tip: Reproducible Results and Deterministic Behavior
Aladdin Persson Beginner 5y ago
Pytorch Tutorial 5-Live- Kaggle Advance House Price Prediction Using Pytorch Deep Learning
ML Fundamentals
Pytorch Tutorial 5-Live- Kaggle Advance House Price Prediction Using Pytorch Deep Learning
Krish Naik Beginner 5y ago
PYTORCH COMMON MISTAKES - How To Save Time 🕒
ML Fundamentals
PYTORCH COMMON MISTAKES - How To Save Time 🕒
Aladdin Persson Beginner 5y ago
Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
ML Fundamentals
Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
Microsoft Research Advanced 5y ago
Graph ML Research at Twitter with Michael Bronstein - #394
ML Fundamentals
Graph ML Research at Twitter with Michael Bronstein - #394
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
WTFML: Simple, reusable code for PyTorch models
ML Fundamentals
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur Beginner 5y ago
Live Q&A: Getting Started With Data Science
ML Fundamentals
Live Q&A: Getting Started With Data Science
Abhishek Thakur Beginner 5y ago
Live In-depth Discussion Of PyCaret Automated Machine Learning Library Part 2
ML Fundamentals
Live In-depth Discussion Of PyCaret Automated Machine Learning Library Part 2
Krish Naik Beginner 5y ago
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
ML Fundamentals
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur Beginner 5y ago
Live In-depth Discussion Of PyCaret Automated Machine Learning Library
ML Fundamentals
Live In-depth Discussion Of PyCaret Automated Machine Learning Library
Krish Naik Beginner 5y ago
Hyperparameter Tuning Techniques Genetic Algorithms And Optuna Data Science Machine Learning- Part 2
ML Fundamentals
Hyperparameter Tuning Techniques Genetic Algorithms And Optuna Data Science Machine Learning- Part 2
Krish Naik Beginner 5y ago
Code Update for CNN Training with TensorFlow's Keras API
ML Fundamentals
Code Update for CNN Training with TensorFlow's Keras API
deeplizard Beginner 5y ago
Live-Discussing All Hyperparameter Tuning Techniques Data Science Machine Learning
ML Fundamentals
Live-Discussing All Hyperparameter Tuning Techniques Data Science Machine Learning
Krish Naik Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Exploratory Data Analysis for Machine Learning
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Exploratory Data Analysis for Machine Learning
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Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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Self-paced
Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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AI for Autonomous Vehicles and Robotics
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Self-paced
AI for Autonomous Vehicles and Robotics
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Applied Machine Learning in Python
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Self-paced
Applied Machine Learning in Python
Opens on Coursera ↗
Creating Multi Task Models With Keras
📚 Coursera Course ↗
Self-paced
Creating Multi Task Models With Keras
Opens on Coursera ↗
I/O-efficient algorithms
📚 Coursera Course ↗
Self-paced
I/O-efficient algorithms
Opens on Coursera ↗