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
Live Day 2- Discussing Ridge, Lasso And Logistic Regression Machine Learning Algorithms
ML Fundamentals
Live Day 2- Discussing Ridge, Lasso And Logistic Regression Machine Learning Algorithms
Krish Naik Beginner 4y ago
Live Day 1- Introduction To Machine Learning Algorithms For Data Science
ML Fundamentals
Live Day 1- Introduction To Machine Learning Algorithms For Data Science
Krish Naik Beginner 4y ago
Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92
ML Fundamentals
Building an Open Source MLOps Stack with ZenML // Hamza Tahir // MLOps Workshop Meetup # 92
MLOps.community Intermediate 4y ago
How to Set Up a Machine Learning Environment with Conda and Pip-Tools
ML Fundamentals
How to Set Up a Machine Learning Environment with Conda and Pip-Tools
Automata Learning Lab Beginner 4y ago
Deep Learning Dictionary - Course Introduction
ML Fundamentals
Deep Learning Dictionary - Course Introduction
deeplizard Beginner 4y ago
Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // Coffee Sessions #78
ML Fundamentals
Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // Coffee Sessions #78
MLOps.community Beginner 4y ago
El Futuro de la IA en 2022 | Feat. Andrés Torrubia
ML Fundamentals
El Futuro de la IA en 2022 | Feat. Andrés Torrubia
Dot CSV Beginner 4y ago
Implementing ConvNext in Keras & Introduction to Time Series
ML Fundamentals
Implementing ConvNext in Keras & Introduction to Time Series
Weights & Biases Beginner 4y ago
Kaggle Competitions: A Beginner's Guide to Winning
ML Fundamentals
Kaggle Competitions: A Beginner's Guide to Winning
Rob Mulla Beginner 4y ago
How to #BeADeepLearner
ML Fundamentals
How to #BeADeepLearner
DeepLearningAI Beginner 4y ago
The Human Element in Machine Learning w Catherine D’Ignazio, Jacob Andreas & Harini Suresh (S3:E5)
ML Fundamentals
The Human Element in Machine Learning w Catherine D’Ignazio, Jacob Andreas & Harini Suresh (S3:E5)
MIT OpenCourseWare Beginner 4y ago
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
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
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
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
Announcing 7 Days Live Sessions On Machine Learning Algorithms(Feb 1- Feb7th)
ML Fundamentals
Announcing 7 Days Live Sessions On Machine Learning Algorithms(Feb 1- Feb7th)
Krish Naik Beginner 4y ago
Earth In 2050
ML Fundamentals
Earth In 2050
Krish Naik Intermediate 4y ago
How To Calculate P Value In Hypothesis Testing
ML Fundamentals
How To Calculate P Value In Hypothesis Testing
Krish Naik Intermediate 4y ago
Live Day 7- Summarizing Statistics With Python In Data Science
ML Fundamentals
Live Day 7- Summarizing Statistics With Python In Data Science
Krish Naik Intermediate 4y ago
Live Day 6- Advance Statistics With Python In Data Science
ML Fundamentals
Live Day 6- Advance Statistics With Python In Data Science
Krish Naik Intermediate 4y ago
Live Day 5- Advance Statistics With Python In Data Science
ML Fundamentals
Live Day 5- Advance Statistics With Python In Data Science
Krish Naik Intermediate 4y ago
MLOps Song
ML Fundamentals
MLOps Song
MLOps.community Beginner 4y ago
Live Day 4- Advance Statistics With Python In Data Science
ML Fundamentals
Live Day 4- Advance Statistics With Python In Data Science
Krish Naik Intermediate 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
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
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
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
JAX MD: A Framework for Differentiable Atomistic Physics
ML Fundamentals
JAX MD: A Framework for Differentiable Atomistic Physics
Weights & Biases Advanced 4y ago
Unsupervised Speech Enhancement
ML Fundamentals
Unsupervised Speech Enhancement
Microsoft Research Beginner 4y ago
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