Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” the maths behind AI

8507
lessons
Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]
๐Ÿ“ ML Fundamentals
Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning
๐Ÿ“ ML Fundamentals
Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning
Krish Naik Beginner 5y ago
Tutorial 48- Naive Bayes' Classifier Indepth Intuition-  Machine Learning
๐Ÿ“ ML Fundamentals
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Krish Naik Beginner 5y ago
Mutability in Python : Python Basics
๐Ÿ“ ML Fundamentals
Mutability in Python : Python Basics
ritvikmath Beginner 5y ago
Backpropagation and the brain
๐Ÿ“ ML Fundamentals
Backpropagation and the brain
Yannic Kilcher Beginner 5y ago
Pytorch DCGAN Tutorial (See description for updated video)
๐Ÿ“ ML Fundamentals
Pytorch DCGAN Tutorial (See description for updated video)
Aladdin Persson Beginner 5y ago
Python Tutorial : Unsupervised Learning in Python
๐Ÿ“ ML Fundamentals
Python Tutorial : Unsupervised Learning in Python
DataCamp Beginner 5y ago
Python Tutorial : Introduction to Linear Modeling in Python
๐Ÿ“ ML Fundamentals
Python Tutorial : Introduction to Linear Modeling in Python
DataCamp Beginner 5y ago
Self Driving Cars and Pedestrians
๐Ÿ“ ML Fundamentals
Self Driving Cars and Pedestrians
Data Skeptic Beginner 5y ago
This AI Learned to Summarize Videos ๐ŸŽฅ
๐Ÿ“ ML Fundamentals
This AI Learned to Summarize Videos ๐ŸŽฅ
Two Minute Papers Beginner 5y ago
Resume driven development in Machine learning & software engineering
๐Ÿ“ ML Fundamentals
Resume driven development in Machine learning & software engineering
MLOps.community Beginner 5y ago
Swiss Cheese model in Machine Learning
๐Ÿ“ ML Fundamentals
Swiss Cheese model in Machine Learning
MLOps.community Beginner 5y ago
Pytorch TensorBoard Tutorial
๐Ÿ“ ML Fundamentals
Pytorch TensorBoard Tutorial
Aladdin Persson Beginner 5y ago
Neural Networks from Scratch - P.2 Coding a Layer
๐Ÿ“ ML Fundamentals
Neural Networks from Scratch - P.2 Coding a Layer
sentdex Beginner 5y ago
Neural Networks Simply Explained (Theory)
๐Ÿ“ ML Fundamentals
Neural Networks Simply Explained (Theory)
NeuralNine Beginner 5y ago
Look Mom, No Indices! Vector Calculus with the Frรฉchet Derivative by Charles Frye
๐Ÿ“ ML Fundamentals
Look Mom, No Indices! Vector Calculus with the Frรฉchet Derivative by Charles Frye
Weights & Biases Beginner 5y ago
Sequence Models with Pujaa Rajan
๐Ÿ“ ML Fundamentals
Sequence Models with Pujaa Rajan
Weights & Biases Beginner 5y ago
How to Transition into Data Science: from Computer Science to Data Science
๐Ÿ“ ML Fundamentals
How to Transition into Data Science: from Computer Science to Data Science
365 Data Science Beginner 5y ago
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
๐Ÿ“ ML Fundamentals
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
Decoding Logistic Regression - A Simple and Comprehensive Explanation
๐Ÿ“ ML Fundamentals
Decoding Logistic Regression - A Simple and Comprehensive Explanation
What's AI by Louis-Franรงois Bouchard Beginner 5y ago
How deep learning can detect cancerous tissue (AI For Medicine)
๐Ÿ“ ML Fundamentals
How deep learning can detect cancerous tissue (AI For Medicine)
DeepLearningAI Beginner 5y ago
PyTorch Tutorial 17 - Saving and Loading Models
๐Ÿ“ ML Fundamentals
PyTorch Tutorial 17 - Saving and Loading Models
Patrick Loeber Beginner 5y ago
Dictionaries : Python Basics
๐Ÿ“ ML Fundamentals
Dictionaries : Python Basics
ritvikmath Beginner 5y ago
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
๐Ÿ“ ML Fundamentals
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Krish Naik Beginner 5y ago
Python Tutorial: Unsupervised learning: basics
๐Ÿ“ ML Fundamentals
Python Tutorial: Unsupervised learning: basics
DataCamp Beginner 5y ago
Python Tutorial : Fundamentals of AI in Python
๐Ÿ“ ML Fundamentals
Python Tutorial : Fundamentals of AI in Python
DataCamp Beginner 5y ago
Python Tutorial : Three flavors of Machine Learning
๐Ÿ“ ML Fundamentals
Python Tutorial : Three flavors of Machine Learning
DataCamp Beginner 5y ago
Python Tutorial: Reading, inspecting, & cleaning data from csv files
๐Ÿ“ ML Fundamentals
Python Tutorial: Reading, inspecting, & cleaning data from csv files
DataCamp Beginner 5y ago
R Tutorial: A first taste of Bayes
๐Ÿ“ ML Fundamentals
R Tutorial: A first taste of Bayes
DataCamp Beginner 5y ago
Python Tutorial : Constants and variables
๐Ÿ“ ML Fundamentals
Python Tutorial : Constants and variables
DataCamp Beginner 5y ago
Python Tutorial : Advanced operations
๐Ÿ“ ML Fundamentals
Python Tutorial : Advanced operations
DataCamp Beginner 5y ago
R Tutorial: Introduction to feature engineering in R
๐Ÿ“ ML Fundamentals
R Tutorial: Introduction to feature engineering in R
DataCamp Beginner 5y ago
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
๐Ÿ“ ML Fundamentals
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
Krish Naik Beginner 5y ago
Learning from real life Machine Learning failures
๐Ÿ“ ML Fundamentals
Learning from real life Machine Learning failures
MLOps.community Beginner 5y ago
Current State Of Machine Learning
๐Ÿ“ ML Fundamentals
Current State Of Machine Learning
MLOps.community Beginner 5y ago
Scala Tutorial: A scalable language
๐Ÿ“ ML Fundamentals
Scala Tutorial: A scalable language
DataCamp Beginner 5y ago
R Tutorial: Machine Learning with Tree-Based Models | Intro
๐Ÿ“ ML Fundamentals
R Tutorial: Machine Learning with Tree-Based Models | Intro
DataCamp Beginner 5y ago
R Tutorial: Evaluating classification model performance
๐Ÿ“ ML Fundamentals
R Tutorial: Evaluating classification model performance
DataCamp Beginner 5y ago
R Tutorial: Introduction to classification trees
๐Ÿ“ ML Fundamentals
R Tutorial: Introduction to classification trees
DataCamp Beginner 5y ago
MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali
๐Ÿ“ ML Fundamentals
MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali
MLOps.community Beginner 5y ago
Automate LifeCycle Of Data Science Projects By Using This Open Source Library
๐Ÿ“ ML Fundamentals
Automate LifeCycle Of Data Science Projects By Using This Open Source Library
Krish Naik Beginner 5y ago
Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]
๐Ÿ“ ML Fundamentals
Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
๐Ÿ“ ML Fundamentals
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
DataCamp Beginner 5y ago
Pytorch ResNet implementation from Scratch
๐Ÿ“ ML Fundamentals
Pytorch ResNet implementation from Scratch
Aladdin Persson Beginner 5y ago
Teachable  Machine By Google- Train Your Model With Ease
๐Ÿ“ ML Fundamentals
Teachable Machine By Google- Train Your Model With Ease
Krish Naik Beginner 5y ago
Python Tutorial: Introducing convolutional neural networks
๐Ÿ“ ML Fundamentals
Python Tutorial: Introducing convolutional neural networks
DataCamp Beginner 5y ago
Python Tutorial: Image classification with Keras
๐Ÿ“ ML Fundamentals
Python Tutorial: Image classification with Keras
DataCamp Beginner 5y ago
Python Tutorial: Classifying images
๐Ÿ“ ML Fundamentals
Python Tutorial: Classifying images
DataCamp Beginner 5y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
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Essential Linear Algebra for Data Science
๐Ÿ“š Coursera Course โ†—
Self-paced
Essential Linear Algebra for Data Science
Opens on Coursera โ†—
Create Machine Learning Models in Microsoft Azure
๐Ÿ“š Coursera Course โ†—
Self-paced
Create Machine Learning Models in Microsoft Azure
Opens on Coursera โ†—
How Entrepreneurs in Emerging Markets can master the Blockchain Technology
๐Ÿ“š Coursera Course โ†—
Self-paced
How Entrepreneurs in Emerging Markets can master the Blockchain Technology
Opens on Coursera โ†—
Data Science with Python: Analyze & Visualize
๐Ÿ“š Coursera Course โ†—
Self-paced
Data Science with Python: Analyze & Visualize
Opens on Coursera โ†—
Practical Machine Learning on H2O
๐Ÿ“š Coursera Course โ†—
Self-paced
Practical Machine Learning on H2O
Opens on Coursera โ†—
Titanic Survival Prediction Using Machine Learning
๐Ÿ“š Coursera Course โ†—
Self-paced
Titanic Survival Prediction Using Machine Learning
Opens on Coursera โ†—