Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” 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
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
ML Fundamentals
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
StatQuest with Josh Starmer Beginner 5y ago
Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135
ML Fundamentals
Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135
Lex Fridman Beginner 5y ago
Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
ML Fundamentals
Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Difficulties I Faced As A Data Scientist-Sharing My Experience From Start
ML Fundamentals
Difficulties I Faced As A Data Scientist-Sharing My Experience From Start
Krish Naik Beginner 5y ago
Building our first simple GAN
ML Fundamentals
Building our first simple GAN
Aladdin Persson Beginner 5y ago
How to Build Regression Models (Weka Tutorial #1)
ML Fundamentals
How to Build Regression Models (Weka Tutorial #1)
Data Professor Beginner 5y ago
Saturday Live Q&A Ask Anything  Regarding Data Science
ML Fundamentals
Saturday Live Q&A Ask Anything Regarding Data Science
Krish Naik Intermediate 5y ago
An Introduction to Generative Adversarial Networks (GANs)
ML Fundamentals
An Introduction to Generative Adversarial Networks (GANs)
Aladdin Persson Beginner 5y ago
๐Ÿ”ฅ Integrate Weights & Biases with PyTorch
ML Fundamentals
๐Ÿ”ฅ Integrate Weights & Biases with PyTorch
Weights & Biases Intermediate 5y ago
๐Ÿฅ• Integrate Weights & Biases with Keras
ML Fundamentals
๐Ÿฅ• Integrate Weights & Biases with Keras
Weights & Biases Beginner 5y ago
Getting ready to learn Python, Mac edition #5: Write and run a Python program
ML Fundamentals
Getting ready to learn Python, Mac edition #5: Write and run a Python program
Brandon Rohrer Beginner 5y ago
The First Internet Worm (Morris Worm) - Computerphile
ML Fundamentals
The First Internet Worm (Morris Worm) - Computerphile
Computerphile Intermediate 5y ago
#TWIMLfest: So You Want to Teach an AI/ML Course?
ML Fundamentals
#TWIMLfest: So You Want to Teach an AI/ML Course?
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
DeepLearning.AI Learner Community Event ft. Ghaith Sankari
ML Fundamentals
DeepLearning.AI Learner Community Event ft. Ghaith Sankari
DeepLearningAI Beginner 5y ago
DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar
ML Fundamentals
DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar
DeepLearningAI Beginner 5y ago
Encode categorical features using OneHotEncoder or OrdinalEncoder
ML Fundamentals
Encode categorical features using OneHotEncoder or OrdinalEncoder
Data School Beginner 5y ago
Museum leaders and the legacy of Empire
ML Fundamentals
Museum leaders and the legacy of Empire
Saรฏd Business School, University of Oxford Intermediate 5y ago
Getting ready to learn Python, Mac edition #4: Install and run Python
ML Fundamentals
Getting ready to learn Python, Mac edition #4: Install and run Python
Brandon Rohrer Beginner 5y ago
7.7 Stacking (L07: Ensemble Methods)
ML Fundamentals
7.7 Stacking (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
7.6 Random Forests (L07: Ensemble Methods)
ML Fundamentals
7.6 Random Forests (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
ML Fundamentals
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
NVIDIA Developer Beginner 5y ago
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
ML Fundamentals
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
TensorFlow Intermediate 5y ago
Schedule Python Tasks (in Windows) : Data Science Code
ML Fundamentals
Schedule Python Tasks (in Windows) : Data Science Code
ritvikmath Intermediate 5y ago
We're hosting a Machine Learning Conference!
ML Fundamentals
We're hosting a Machine Learning Conference!
CodeEmporium Beginner 5y ago
Neural Networks from Scratch (NNFS) in Print!
ML Fundamentals
Neural Networks from Scratch (NNFS) in Print!
sentdex Advanced 5y ago
Class 1: Intro and Key Technological Trends Affecting Financial Services
ML Fundamentals
Class 1: Intro and Key Technological Trends Affecting Financial Services
MIT OpenCourseWare Beginner 5y ago
Class 3: Artificial Intelligence in Finance
ML Fundamentals
Class 3: Artificial Intelligence in Finance
MIT OpenCourseWare Beginner 5y ago
Data Science and Spend Data Classification with Susan | 365 Data Use Cases
ML Fundamentals
Data Science and Spend Data Classification with Susan | 365 Data Use Cases
365 Data Science Beginner 5y ago
How to Build a World-Class ML Model for Melanoma Detection | Grandmaster Series E1
ML Fundamentals
How to Build a World-Class ML Model for Melanoma Detection | Grandmaster Series E1
NVIDIA Developer Intermediate 5y ago
Four reasons to use scikit-learn (not pandas) for ML preprocessing
ML Fundamentals
Four reasons to use scikit-learn (not pandas) for ML preprocessing
Data School Beginner 5y ago
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // MLOps Meetup #39
ML Fundamentals
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // MLOps Meetup #39
MLOps.community Beginner 5y ago
Machine Learning for Sustainable Agriculture
ML Fundamentals
Machine Learning for Sustainable Agriculture
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
ML Fundamentals
Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
Microsoft Research Advanced 5y ago
Inside TensorFlow: Building ML infra
ML Fundamentals
Inside TensorFlow: Building ML infra
TensorFlow Beginner 5y ago
Random Forests : Data Science Concepts
ML Fundamentals
Random Forests : Data Science Concepts
ritvikmath Intermediate 5y ago
Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)
ML Fundamentals
Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions
ML Fundamentals
Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions
Krish Naik Intermediate 5y ago
๐ŸŽจ Log (Almost) Anything with Weights & Biases
ML Fundamentals
๐ŸŽจ Log (Almost) Anything with Weights & Biases
Weights & Biases Intermediate 5y ago
deeplearning.ai Learner Community Event ft. Roger Smith
ML Fundamentals
deeplearning.ai Learner Community Event ft. Roger Smith
DeepLearningAI Beginner 5y ago
Ines & Sofie โ€” Building Industrial-Strength NLP Pipelines
ML Fundamentals
Ines & Sofie โ€” Building Industrial-Strength NLP Pipelines
Weights & Biases Beginner 5y ago
Getting ready to learn Python, Mac edition #3: Creating and editing text files
ML Fundamentals
Getting ready to learn Python, Mac edition #3: Creating and editing text files
Brandon Rohrer Beginner 5y ago
Updated Best YouTube Channels To Learn Data Science For Free
ML Fundamentals
Updated Best YouTube Channels To Learn Data Science For Free
Krish Naik Beginner 5y ago
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
ML Fundamentals
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
Weights & Biases Beginner 5y ago
7.5 Gradient Boosting (L07: Ensemble Methods)
ML Fundamentals
7.5 Gradient Boosting (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
Richard Craib on seeking alpha and building the last hedge fund at Numerai
ML Fundamentals
Richard Craib on seeking alpha and building the last hedge fund at Numerai
Weights & Biases Beginner 5y ago
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
ML Fundamentals
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
Weights & Biases Intermediate 5y ago
Class 2: Artificial Intelligence, Machine Learning, and Deep Learning
ML Fundamentals
Class 2: Artificial Intelligence, Machine Learning, and Deep Learning
MIT OpenCourseWare Beginner 5y ago
My Entrepreneur Journey- From Software Engineer To Data Scientist To Entrepreneur- Future Plans
ML Fundamentals
My Entrepreneur Journey- From Software Engineer To Data Scientist To Entrepreneur- Future Plans
Krish Naik Intermediate 5y ago
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