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
24. Robustness to Dataset Shift
ML Fundamentals
24. Robustness to Dataset Shift
MIT OpenCourseWare Beginner 4y ago
Take a risk or stay safe? // Alfredo Deza // Meetup #66 short clip
ML Fundamentals ⚡ AI Lesson
Take a risk or stay safe? // Alfredo Deza // Meetup #66 short clip
MLOps.community Beginner 4y ago
Huge Openings Data Scientist, ML engineer, Data Analyst For Freshers In PAYPAL 2021-Start Applying
ML Fundamentals
Huge Openings Data Scientist, ML engineer, Data Analyst For Freshers In PAYPAL 2021-Start Applying
Krish Naik Beginner 4y ago
Bridging the Employability Gap
ML Fundamentals
Bridging the Employability Gap
Coursera Intermediate 4y ago
Directions in ML: Structured Models for Automated Machine Learning
ML Fundamentals
Directions in ML: Structured Models for Automated Machine Learning
Microsoft Research Beginner 4y ago
W&B Fastbook Reading Group — 5. SGD (Stochastic Gradient Descent)
ML Fundamentals
W&B Fastbook Reading Group — 5. SGD (Stochastic Gradient Descent)
Weights & Biases Beginner 4y ago
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
ML Fundamentals
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
Weights & Biases Beginner 4y ago
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
ML Fundamentals
Display GridSearchCV or RandomizedSearchCV results in a DataFrame
Data School Beginner 4y ago
sin cos tan explained. Explanation using real life example | Math, Statistics for data science
ML Fundamentals ⚡ AI Lesson
sin cos tan explained. Explanation using real life example | Math, Statistics for data science
codebasics Beginner 4y ago
Thompson Sampling : Data Science Concepts
ML Fundamentals
Thompson Sampling : Data Science Concepts
ritvikmath Beginner 4y ago
How Deepfakes Work
ML Fundamentals
How Deepfakes Work
Creator Academy Australia Beginner 4y ago
Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)
ML Fundamentals ⚡ AI Lesson
Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)
TensorFlow Intermediate 4y ago
Try RandomizedSearchCV if GridSearchCV is taking too long
ML Fundamentals ⚡ AI Lesson
Try RandomizedSearchCV if GridSearchCV is taking too long
Data School Beginner 4y ago
Minimum Laptop Configuration To Start With Machine Learning And Deep Learning💻💻💻💻💻💻
ML Fundamentals
Minimum Laptop Configuration To Start With Machine Learning And Deep Learning💻💻💻💻💻💻
Krish Naik Beginner 4y ago
Writing a Python Script to Check If Any ACs Are Available Every 5 Minutes
ML Fundamentals
Writing a Python Script to Check If Any ACs Are Available Every 5 Minutes
CS Dojo Beginner 4y ago
problems that solve themselves #shorts
ML Fundamentals ⚡ AI Lesson
problems that solve themselves #shorts
ritvikmath Intermediate 4y ago
How to build machine learning models for drug discovery using PaDELPy
ML Fundamentals
How to build machine learning models for drug discovery using PaDELPy
Data Professor Beginner 4y ago
Chow Yun Fat DeepFake
ML Fundamentals
Chow Yun Fat DeepFake
Creator Academy Australia Beginner 4y ago
BERT Model for Toxic Comment Classification (with GitHub Copilot's help)
ML Fundamentals ⚡ AI Lesson
BERT Model for Toxic Comment Classification (with GitHub Copilot's help)
Abhishek Thakur Beginner 4y ago
Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)
ML Fundamentals
Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)
Yannic Kilcher Beginner 4y ago
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
ML Fundamentals ⚡ AI Lesson
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
All Python Libraries You Need For Machine Learning And Data Science
ML Fundamentals
All Python Libraries You Need For Machine Learning And Data Science
Patrick Loeber Beginner 4y ago
PyTorch Community Voices | Distributed PyTorch with Ray | Michael & Richard
ML Fundamentals
PyTorch Community Voices | Distributed PyTorch with Ray | Michael & Richard
PyTorch Beginner 4y ago
AI Weekly Update - June 30th, 2021 (#37!)
ML Fundamentals ⚡ AI Lesson
AI Weekly Update - June 30th, 2021 (#37!)
Connor Shorten Beginner 4y ago
The Molecular Basis of Life
ML Fundamentals ⚡ AI Lesson
The Molecular Basis of Life
arXiv Insights Beginner 4y ago
Introducing Retiarii: A deep learning exploratory-training framework on NNI
ML Fundamentals
Introducing Retiarii: A deep learning exploratory-training framework on NNI
Microsoft Research Advanced 4y ago
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
ML Fundamentals ⚡ AI Lesson
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
MLOps.community Beginner 4y ago
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
ML Fundamentals
Maximizing Performance for Distributed Deep Learning with NVIDIA SHARP (HGX)
NVIDIA Developer Beginner 4y ago
Build a ML Classification Model in 12 Lines with PyCaret
ML Fundamentals ⚡ AI Lesson
Build a ML Classification Model in 12 Lines with PyCaret
Nicholas Renotte Beginner 4y ago
What is the Jax Deep Learning Framework?
ML Fundamentals ⚡ AI Lesson
What is the Jax Deep Learning Framework?
Roboflow Beginner 4y ago
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
ML Fundamentals
Panels # 1: What it takes to become a Quadruple Kaggle Grandmaster?
Abhishek Thakur Beginner 4y ago
Build A Machine Learning iOS App | PyTorch Mobile Deployment
ML Fundamentals
Build A Machine Learning iOS App | PyTorch Mobile Deployment
Patrick Loeber Beginner 4y ago
L3.4 Feynman Calculus: Higher-Order Diagrams
ML Fundamentals
L3.4 Feynman Calculus: Higher-Order Diagrams
MIT OpenCourseWare Beginner 4y ago
Building AI models for healthcare (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
Building AI models for healthcare (ML Tech Talks)
TensorFlow Beginner 4y ago
Generate Python Faster with Mito⭐ ⭐ ⭐ ⭐
ML Fundamentals
Generate Python Faster with Mito⭐ ⭐ ⭐ ⭐
Krish Naik Beginner 4y ago
W&B Fastbook Reading Group — 4. Going Deeper into Computer Vision
ML Fundamentals
W&B Fastbook Reading Group — 4. Going Deeper into Computer Vision
Weights & Biases Beginner 4y ago
Teaching an RC car to drive itself
ML Fundamentals
Teaching an RC car to drive itself
Weights & Biases Beginner 4y ago
Writing Machine Learning Pipelines And Deep Learning Code Using Github Copilot ⭐⭐⭐⭐⭐⭐
ML Fundamentals
Writing Machine Learning Pipelines And Deep Learning Code Using Github Copilot ⭐⭐⭐⭐⭐⭐
Krish Naik Beginner 4y ago
Amelia & Filip — How Pandora Deploys ML Models into Production
ML Fundamentals
Amelia & Filip — How Pandora Deploys ML Models into Production
Weights & Biases Beginner 4y ago
Use cross_val_score and GridSearchCV on a Pipeline
ML Fundamentals ⚡ AI Lesson
Use cross_val_score and GridSearchCV on a Pipeline
Data School Beginner 4y ago
Coding Word2Vec : Natural Language Processing
ML Fundamentals
Coding Word2Vec : Natural Language Processing
ritvikmath Beginner 4y ago
Three reasons not to use drop='first' with OneHotEncoder
ML Fundamentals
Three reasons not to use drop='first' with OneHotEncoder
Data School Beginner 4y ago
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
ML Fundamentals
W&B Fastbook Reading Group — 3. DL Models in Production & Ethical Considerations
Weights & Biases Beginner 4y ago
L3.5 Feynman Calculus: Divergency
ML Fundamentals
L3.5 Feynman Calculus: Divergency
MIT OpenCourseWare Beginner 4y ago
L3.2 Feynman Calculus: Fermi's Golden Rule
ML Fundamentals
L3.2 Feynman Calculus: Fermi's Golden Rule
MIT OpenCourseWare Beginner 4y ago
L3.3 Feynman Calculus: Toy Theory
ML Fundamentals
L3.3 Feynman Calculus: Toy Theory
MIT OpenCourseWare Beginner 4y ago
L3.1 Feynman Calculus: Introduction
ML Fundamentals ⚡ AI Lesson
L3.1 Feynman Calculus: Introduction
MIT OpenCourseWare Beginner 4y ago
Luis Ceze — Accelerating Machine Learning Systems
ML Fundamentals
Luis Ceze — Accelerating Machine Learning Systems
Weights & Biases Advanced 4y ago
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Introduction to Thermodynamics: Transferring Energy from Here to There
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Interpretable machine learning applications: Part 3
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