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
ML Frameworks: Gretel.ai
ML Fundamentals
ML Frameworks: Gretel.ai
Weights & Biases Beginner 4y ago
AI Models Guide for Consultants & Product Managers | Hugging Face Tasks
ML Fundamentals
AI Models Guide for Consultants & Product Managers | Hugging Face Tasks
1littlecoder Beginner 4y ago
Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
ML Fundamentals
Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
MLOps.community Intermediate 4y ago
Vision Of OneNeuron Platform- How We Are Solving All Your Problems?
ML Fundamentals
Vision Of OneNeuron Platform- How We Are Solving All Your Problems?
Krish Naik Intermediate 4y ago
Fireside chat: Opportunities and challenges in human-oriented AI
ML Fundamentals
Fireside chat: Opportunities and challenges in human-oriented AI
Microsoft Research Intermediate 4y ago
Demo: Using network machine learning for organizational analytics
ML Fundamentals
Demo: Using network machine learning for organizational analytics
Microsoft Research Beginner 4y ago
Live Day 3- Intermediate Statistics With Python In Data Science
ML Fundamentals
Live Day 3- Intermediate Statistics With Python In Data Science
Krish Naik Intermediate 4y ago
The Physics Dropout Who Made $1 Billion Betting Horses
ML Fundamentals
The Physics Dropout Who Made $1 Billion Betting Horses
Ken Jee Beginner 4y ago
AI vs. Machine Learning vs. Deep Learning - Relationship Overview
ML Fundamentals
AI vs. Machine Learning vs. Deep Learning - Relationship Overview
deeplizard Beginner 4y ago
Features and Feature Engineering in Machine Learning - An Introduction
ML Fundamentals
Features and Feature Engineering in Machine Learning - An Introduction
Imaad Mohamed Khan Beginner 4y ago
Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258
ML Fundamentals
Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258
Lex Fridman Beginner 4y ago
JAX MD: A Framework for Differentiable Atomistic Physics
ML Fundamentals
JAX MD: A Framework for Differentiable Atomistic Physics
Weights & Biases Advanced 4y ago
Introduction to NVIDIA DOCA Module #1: DOCA Demystified
ML Fundamentals
Introduction to NVIDIA DOCA Module #1: DOCA Demystified
NVIDIA Developer Beginner 4y ago
How to Learn Data Science as a Beginner
ML Fundamentals
How to Learn Data Science as a Beginner
365 Data Science Beginner 4y ago
Part 6: Finding the Nullspace: Solving Ax = 0 by Elimination
ML Fundamentals
Part 6: Finding the Nullspace: Solving Ax = 0 by Elimination
MIT OpenCourseWare Intermediate 4y ago
PyTorch Turns 5!
ML Fundamentals
PyTorch Turns 5!
PyTorch Beginner 4y ago
Song Popularity Prediction EDA with Martin Henze (Heads or Tails)
ML Fundamentals
Song Popularity Prediction EDA with Martin Henze (Heads or Tails)
Abhishek Thakur Beginner 4y ago
ML4Audio - pyctcdecode: A simple and fast speech-to-text prediction decoding algorithm
ML Fundamentals
ML4Audio - pyctcdecode: A simple and fast speech-to-text prediction decoding algorithm
HuggingFace Beginner 4y ago
Gradio Course - Create User Interfaces for Machine Learning Models
ML Fundamentals
Gradio Course - Create User Interfaces for Machine Learning Models
freeCodeCamp.org Beginner 4y ago
Federated Learning: Machine Learning on the Edge // Varun Kumar Khare // Reading group #3
ML Fundamentals
Federated Learning: Machine Learning on the Edge // Varun Kumar Khare // Reading group #3
MLOps.community Beginner 4y ago
Does Model Performance Even Matter?
ML Fundamentals
Does Model Performance Even Matter?
ritvikmath Advanced 4y ago
Deep Learning Fundamentals Course Intro - Premium Edition
ML Fundamentals
Deep Learning Fundamentals Course Intro - Premium Edition
deeplizard Beginner 4y ago
Recurrent Neural Networks (RNNs) Explained - Deep Learning
ML Fundamentals
Recurrent Neural Networks (RNNs) Explained - Deep Learning
AssemblyAI Beginner 4y ago
The Exponential Distribution
ML Fundamentals
The Exponential Distribution
StatQuest with Josh Starmer Beginner 4y ago
The mean, the median, and the mode.
ML Fundamentals
The mean, the median, and the mode.
StatQuest with Josh Starmer Beginner 4y ago
Masters in Financial Economics | Oxford Saïd Business School
ML Fundamentals
Masters in Financial Economics | Oxford Saïd Business School
Saïd Business School, University of Oxford Advanced 4y ago
Automating VS Code Snippets with Python
ML Fundamentals
Automating VS Code Snippets with Python
Automata Learning Lab Intermediate 4y ago
New AI: Next Level Video Editing! 🤯
ML Fundamentals
New AI: Next Level Video Editing! 🤯
Two Minute Papers Beginner 4y ago
Research talk: Approximate nearest neighbor search systems at scale
ML Fundamentals
Research talk: Approximate nearest neighbor search systems at scale
Microsoft Research Beginner 4y ago
Demo: User-centric graph for building intelligence and Meeting Insights
ML Fundamentals
Demo: User-centric graph for building intelligence and Meeting Insights
Microsoft Research Intermediate 4y ago
Panel: Computer vision in the next decade: Deeper or broader
ML Fundamentals
Panel: Computer vision in the next decade: Deeper or broader
Microsoft Research Advanced 4y ago
Panel: Causal ML Research at Microsoft
ML Fundamentals
Panel: Causal ML Research at Microsoft
Microsoft Research Advanced 4y ago
Panel: Causal ML at Microsoft
ML Fundamentals
Panel: Causal ML at Microsoft
Microsoft Research Beginner 4y ago
Panel: Challenges and opportunities of causality
ML Fundamentals
Panel: Challenges and opportunities of causality
Microsoft Research Beginner 4y ago
Panel: Privacy preserving machine learning
ML Fundamentals
Panel: Privacy preserving machine learning
Microsoft Research Beginner 4y ago
Panel: The future of human-AI collaboration
ML Fundamentals
Panel: The future of human-AI collaboration
Microsoft Research Intermediate 4y ago
Panel: Experiments, models, inference and algorithms: Learning from experts who do it all
ML Fundamentals
Panel: Experiments, models, inference and algorithms: Learning from experts who do it all
Microsoft Research Intermediate 4y ago
Finish Work Faster with Acer Nitro 5 equipped with NVIDIA GeForce RTX 3060
ML Fundamentals
Finish Work Faster with Acer Nitro 5 equipped with NVIDIA GeForce RTX 3060
Krish Naik Beginner 4y ago
Live Day 2- Basic To Intermediate Statistics
ML Fundamentals
Live Day 2- Basic To Intermediate Statistics
Krish Naik Intermediate 4y ago
Important Components In A Drone
ML Fundamentals
Important Components In A Drone
Krish Naik Intermediate 4y ago
Live Day 1- Introduction To statistics In Data Science
ML Fundamentals
Live Day 1- Introduction To statistics In Data Science
Krish Naik Beginner 4y ago
Unsupervised Speech Enhancement
ML Fundamentals
Unsupervised Speech Enhancement
Microsoft Research Beginner 4y ago
We Use Stats Everywhere!!
ML Fundamentals
We Use Stats Everywhere!!
Krish Naik Intermediate 4y ago
iNeuron New Office Tour 2022
ML Fundamentals
iNeuron New Office Tour 2022
Krish Naik Intermediate 4y ago
Designing Drones For Programming
ML Fundamentals
Designing Drones For Programming
Krish Naik Intermediate 4y ago
AI In Hardware
ML Fundamentals
AI In Hardware
Krish Naik Intermediate 4y ago
Just Build It! Tips for Making ML Engineering and MLOps Real // Andy McMahon // MLOps Meetup #91
ML Fundamentals
Just Build It! Tips for Making ML Engineering and MLOps Real // Andy McMahon // MLOps Meetup #91
MLOps.community Intermediate 4y ago
Road From 0-500K Subscribers-Special Video
ML Fundamentals
Road From 0-500K Subscribers-Special Video
Krish Naik Intermediate 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Analyze and Build Deep Learning Models with TensorFlow
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Self-paced
Analyze and Build Deep Learning Models with TensorFlow
Opens on Coursera ↗
Coding with Generative AI
📚 Coursera Course ↗
Self-paced
Coding with Generative AI
Opens on Coursera ↗
Mastering Neural Networks and Model Regularization
📚 Coursera Course ↗
Self-paced
Mastering Neural Networks and Model Regularization
Opens on Coursera ↗
Cervical Cancer Risk Prediction Using Machine Learning
📚 Coursera Course ↗
Self-paced
Cervical Cancer Risk Prediction Using Machine Learning
Opens on Coursera ↗
R: Apply & Analyze K-Means Clustering for Unsupervised ML
📚 Coursera Course ↗
Self-paced
R: Apply & Analyze K-Means Clustering for Unsupervised ML
Opens on Coursera ↗
Graduate Admission Prediction with Pyspark ML
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Self-paced
Graduate Admission Prediction with Pyspark ML
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