Foundations

ML Fundamentals

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

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lessons
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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
PyTorch Community Voices | Catalyst| Sergey Kolesnikov
ML Fundamentals
PyTorch Community Voices | Catalyst| Sergey Kolesnikov
PyTorch Beginner 4y ago
W&B Tables:  Explore Language Data
ML Fundamentals
W&B Tables: Explore Language Data
Weights & Biases Beginner 4y ago
Don't use .values when passing a pandas object to scikit-learn
ML Fundamentals
Don't use .values when passing a pandas object to scikit-learn
Data School Beginner 4y ago
Part 2- Creating and Running a Hello World app in Android Studio
ML Fundamentals
Part 2- Creating and Running a Hello World app in Android Studio
Krish Naik Beginner 4y ago
Running Simulations as a Data Scientist | Monte Carlo
ML Fundamentals ⚡ AI Lesson
Running Simulations as a Data Scientist | Monte Carlo
CodeEmporium Beginner 4y ago
PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch
ML Fundamentals
PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch
Weights & Biases Beginner 4y ago
Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning
ML Fundamentals
Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning
1littlecoder Beginner 4y ago
dabl - A Python library for AutoEDA and AutoML
ML Fundamentals ⚡ AI Lesson
dabl - A Python library for AutoEDA and AutoML
Data Professor 2 Beginner 4y ago
Data Science Podcast with Tyler Richards (Facebook Data Scientist)
ML Fundamentals
Data Science Podcast with Tyler Richards (Facebook Data Scientist)
Data Professor Beginner 4y ago
How Machine Learning uses Linear Algebra to solve data problems
ML Fundamentals ⚡ AI Lesson
How Machine Learning uses Linear Algebra to solve data problems
Harshit Tyagi Beginner 4y ago
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale
ML Fundamentals ⚡ AI Lesson
Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale
Abhishek Thakur Beginner 4y ago
What is Cloud Computing In Layman Terms
ML Fundamentals
What is Cloud Computing In Layman Terms
Krish Naik Beginner 4y ago
Splitting Datasets in Python With scikit-learn and train_test_split()
ML Fundamentals ⚡ AI Lesson
Splitting Datasets in Python With scikit-learn and train_test_split()
Real Python Beginner 4y ago
This AI Helps Making A Music Video! 💃
ML Fundamentals
This AI Helps Making A Music Video! 💃
Two Minute Papers Beginner 4y ago
Add feature selection to a Pipeline
ML Fundamentals
Add feature selection to a Pipeline
Data School Beginner 4y ago
Building and deploying your first machine learning app in Python using Gradio
ML Fundamentals
Building and deploying your first machine learning app in Python using Gradio
Data Professor Beginner 4y ago
Reading the first 42 pages of my first novel (Charlie Walks) out loud
ML Fundamentals ⚡ AI Lesson
Reading the first 42 pages of my first novel (Charlie Walks) out loud
Daniel Bourke Beginner 4y ago
Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE
ML Fundamentals
Taking the leap to pursue a passion in Machine Learning with Leigh Johnson #IamaGDE
Google for Developers Beginner 4y ago
Machine Learning Course for Beginners
ML Fundamentals ⚡ AI Lesson
Machine Learning Course for Beginners
freeCodeCamp.org Beginner 4y ago
Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215
ML Fundamentals ⚡ AI Lesson
Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI | Lex Fridman Podcast #215
Lex Fridman Beginner 4y ago
Channel update: reflecting on why I make videos and thoughts on future videos
ML Fundamentals
Channel update: reflecting on why I make videos and thoughts on future videos
Aladdin Persson Beginner 4y ago
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
ML Fundamentals ⚡ AI Lesson
Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts
ML Fundamentals ⚡ AI Lesson
Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts
Nicholas Renotte Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)
ML Fundamentals
Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)
codebasics Beginner 4y ago
PyTorch Community Voices | PennyLane | Tom & Josh
ML Fundamentals ⚡ AI Lesson
PyTorch Community Voices | PennyLane | Tom & Josh
PyTorch Beginner 4y ago
SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo
ML Fundamentals
SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo
MLOps.community Beginner 4y ago
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
ML Fundamentals
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
Abhishek Thakur Beginner 4y ago
Introduction to Statistics | 365 Data Science Courses
ML Fundamentals
Introduction to Statistics | 365 Data Science Courses
365 Data Science Beginner 4y ago
What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial
ML Fundamentals
What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial
1littlecoder Beginner 4y ago
Robot Dogs: A Programmer's Best Friend
ML Fundamentals
Robot Dogs: A Programmer's Best Friend
sentdex Beginner 4y ago
Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place
ML Fundamentals
Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place
Weights & Biases Beginner 4y ago
Working through "What is torch.nn really?"
ML Fundamentals ⚡ AI Lesson
Working through "What is torch.nn really?"
Weights & Biases Beginner 4y ago
Deploy Weights & Biases On-prem with Terraform Cloud
ML Fundamentals
Deploy Weights & Biases On-prem with Terraform Cloud
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 13. Our first CNNs from scratch
ML Fundamentals
W&B Fastbook Reading Group — 13. Our first CNNs from scratch
Weights & Biases Beginner 4y ago
How Would I Learn Data Science If I Want To Start Over?
ML Fundamentals
How Would I Learn Data Science If I Want To Start Over?
Krish Naik Beginner 4y ago
PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch
ML Fundamentals
PyTorch Book Reading - 1. PyTorch basics, Tensors & NNs in PyTorch
Weights & Biases Beginner 4y ago
Gartner Hype Cycle Of Emerging Technologies 2021 Is Out
ML Fundamentals
Gartner Hype Cycle Of Emerging Technologies 2021 Is Out
Krish Naik Beginner 4y ago
W&B Fastbook Reading Group — 12. What is a convolution, really?
ML Fundamentals
W&B Fastbook Reading Group — 12. What is a convolution, really?
Weights & Biases Beginner 4y ago
Use AUC to evaluate multiclass problems
ML Fundamentals
Use AUC to evaluate multiclass problems
Data School Beginner 4y ago
Building a Simple Digits Image Classification Model
ML Fundamentals ⚡ AI Lesson
Building a Simple Digits Image Classification Model
Data Professor Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend
ML Fundamentals ⚡ AI Lesson
Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend
codebasics Beginner 4y ago
Shuffle your dataset when using cross_val_score
ML Fundamentals
Shuffle your dataset when using cross_val_score
Data School Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 3 : Model Building
ML Fundamentals ⚡ AI Lesson
Deep learning project end to end | Potato Disease Classification - 3 : Model Building
codebasics Beginner 4y ago
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
ML Fundamentals ⚡ AI Lesson
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
Abhishek Thakur Beginner 4y ago
Affordable Machine Learning And Advance Deep Learning  Course From iNeuron
ML Fundamentals
Affordable Machine Learning And Advance Deep Learning Course From iNeuron
Krish Naik Beginner 4y ago
Kaggle 30 Days of ML (Day 18) - SHAP - Shapley Values - Interpretable Machine Learning - XAI
ML Fundamentals
Kaggle 30 Days of ML (Day 18) - SHAP - Shapley Values - Interpretable Machine Learning - XAI
1littlecoder Beginner 4y ago
Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement
ML Fundamentals ⚡ AI Lesson
Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement
codebasics Beginner 4y ago
Kaggle 30 Days of ML (Day 17) - Partial Dependence Plot - Interpretable Machine Learning - XAI
ML Fundamentals
Kaggle 30 Days of ML (Day 17) - Partial Dependence Plot - Interpretable Machine Learning - XAI
1littlecoder Beginner 4y ago
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Automate Data Onboarding, Validate, and Govern
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Self-paced
Automate Data Onboarding, Validate, and Govern
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Algorithmic Thinking (Part 1)
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Self-paced
Algorithmic Thinking (Part 1)
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MLOps Tools: MLflow and Hugging Face
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Self-paced
MLOps Tools: MLflow and Hugging Face
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Introduction to Data Science and scikit-learn in Python
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Self-paced
Introduction to Data Science and scikit-learn in Python
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Integral Calculus and Numerical Analysis for Data Science
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Self-paced
Integral Calculus and Numerical Analysis for Data Science
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Specialized Models: Time Series and Survival Analysis
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Self-paced
Specialized Models: Time Series and Survival Analysis
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