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📐 ML Fundamentals

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

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R Tutorial: A first taste of Bayes
ML Fundamentals ⚡ AI Lesson
R Tutorial: A first taste of Bayes
DataCamp Beginner 6y ago
Self Driving Cars and Pedestrians
ML Fundamentals ⚡ AI Lesson
Self Driving Cars and Pedestrians
Data Skeptic Beginner 6y ago
This AI Learned to Summarize Videos 🎥
ML Fundamentals
This AI Learned to Summarize Videos 🎥
Two Minute Papers Beginner 6y ago
Python Tutorial : Constants and variables
ML Fundamentals
Python Tutorial : Constants and variables
DataCamp Beginner 6y ago
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
ML Fundamentals
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
Krish Naik Beginner 6y ago
Resume driven development in Machine learning & software engineering
ML Fundamentals
Resume driven development in Machine learning & software engineering
MLOps.community Beginner 6y ago
Swiss Cheese model in Machine Learning
ML Fundamentals
Swiss Cheese model in Machine Learning
MLOps.community Beginner 6y ago
Pytorch TensorBoard Tutorial
ML Fundamentals
Pytorch TensorBoard Tutorial
Aladdin Persson Beginner 6y ago
Neural Networks from Scratch - P.2 Coding a Layer
ML Fundamentals ⚡ AI Lesson
Neural Networks from Scratch - P.2 Coding a Layer
sentdex Beginner 6y ago
Neural Networks Simply Explained (Theory)
ML Fundamentals ⚡ AI Lesson
Neural Networks Simply Explained (Theory)
NeuralNine Beginner 6y ago
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
ML Fundamentals ⚡ AI Lesson
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
Weights & Biases Beginner 6y ago
Sequence Models with Pujaa Rajan
ML Fundamentals ⚡ AI Lesson
Sequence Models with Pujaa Rajan
Weights & Biases Beginner 6y ago
How to Transition into Data Science: from Computer Science to Data Science
ML Fundamentals
How to Transition into Data Science: from Computer Science to Data Science
365 Data Science Beginner 6y ago
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Decoding Logistic Regression - A Simple and Comprehensive Explanation
ML Fundamentals
Decoding Logistic Regression - A Simple and Comprehensive Explanation
What's AI by Louis-François Bouchard Beginner 6y ago
How deep learning can detect cancerous tissue (AI For Medicine)
ML Fundamentals
How deep learning can detect cancerous tissue (AI For Medicine)
DeepLearningAI Beginner 6y ago
Automate LifeCycle Of Data Science Projects By Using This Open Source Library
ML Fundamentals
Automate LifeCycle Of Data Science Projects By Using This Open Source Library
Krish Naik Beginner 6y ago
Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]
ML Fundamentals ⚡ AI Lesson
Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Pytorch ResNet implementation from Scratch
ML Fundamentals
Pytorch ResNet implementation from Scratch
Aladdin Persson Beginner 6y ago
PyTorch Tutorial 17 - Saving and Loading Models
ML Fundamentals
PyTorch Tutorial 17 - Saving and Loading Models
Patrick Loeber Beginner 6y ago
Demystifying Data Mining - A Clear and Concise Explanation
ML Fundamentals
Demystifying Data Mining - A Clear and Concise Explanation
What's AI by Louis-François Bouchard Beginner 6y ago
This Neural Network Learned To Look Around In Real Scenes! (NERF)
ML Fundamentals
This Neural Network Learned To Look Around In Real Scenes! (NERF)
Two Minute Papers Beginner 6y ago
Neural Networks from Scratch - P.1 Intro and Neuron Code
ML Fundamentals
Neural Networks from Scratch - P.1 Intro and Neuron Code
sentdex Beginner 6y ago
Python Tutorial : Advanced operations
ML Fundamentals
Python Tutorial : Advanced operations
DataCamp Beginner 6y ago
R Tutorial: Introduction to feature engineering in R
ML Fundamentals
R Tutorial: Introduction to feature engineering in R
DataCamp Beginner 6y ago
Learning from real life Machine Learning failures
ML Fundamentals
Learning from real life Machine Learning failures
MLOps.community Beginner 6y ago
Current State Of Machine Learning
ML Fundamentals
Current State Of Machine Learning
MLOps.community Beginner 6y ago
Scala Tutorial: A scalable language
ML Fundamentals ⚡ AI Lesson
Scala Tutorial: A scalable language
DataCamp Beginner 6y ago
R Tutorial: Machine Learning with Tree-Based Models | Intro
ML Fundamentals
R Tutorial: Machine Learning with Tree-Based Models | Intro
DataCamp Beginner 6y ago
R Tutorial: Evaluating classification model performance
ML Fundamentals
R Tutorial: Evaluating classification model performance
DataCamp Beginner 6y ago
R Tutorial: Introduction to classification trees
ML Fundamentals
R Tutorial: Introduction to classification trees
DataCamp Beginner 6y ago
MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali
ML Fundamentals
MLOps Meetup #6: Mid-Scale Production Feature Engineering with Dr. Venkata Pingali
MLOps.community Beginner 6y ago
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
ML Fundamentals
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
DataCamp Beginner 6y ago
Teachable Machine By Google- Train Your Model With Ease
ML Fundamentals
Teachable Machine By Google- Train Your Model With Ease
Krish Naik Beginner 6y ago
Python Tutorial: Introducing convolutional neural networks
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Introducing convolutional neural networks
DataCamp Beginner 6y ago
Python Tutorial: Image classification with Keras
ML Fundamentals
Python Tutorial: Image classification with Keras
DataCamp Beginner 6y ago
Python Tutorial: Classifying images
ML Fundamentals
Python Tutorial: Classifying images
DataCamp Beginner 6y ago
Python Tutorial : Data transforms, features, and targets
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Data transforms, features, and targets
DataCamp Beginner 6y ago
Python Tutorial : Linear modeling with financial data
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Linear modeling with financial data
DataCamp Beginner 6y ago
Python Tutorial : Machine Learning for Finance in Python
ML Fundamentals
Python Tutorial : Machine Learning for Finance in Python
DataCamp Beginner 6y ago
R Tutorial : Network analysis in R: A tidy approach
ML Fundamentals
R Tutorial : Network analysis in R: A tidy approach
DataCamp Beginner 6y ago
PyTorch Tutorial : Backpropagation by auto-differentiation
ML Fundamentals
PyTorch Tutorial : Backpropagation by auto-differentiation
DataCamp Beginner 6y ago
PyTorch Tutorial : Introduction to PyTorch
ML Fundamentals
PyTorch Tutorial : Introduction to PyTorch
DataCamp Beginner 6y ago
PyTorch Tutorial : Introduction to Neural Networks
ML Fundamentals
PyTorch Tutorial : Introduction to Neural Networks
DataCamp Beginner 6y ago
PyTorch Tutorial : Forward propagation
ML Fundamentals ⚡ AI Lesson
PyTorch Tutorial : Forward propagation
DataCamp Beginner 6y ago
Python Tutorial : Writing Efficient Python Code
ML Fundamentals
Python Tutorial : Writing Efficient Python Code
DataCamp Beginner 6y ago
Python Tutorial : Introducing XGBoost
ML Fundamentals
Python Tutorial : Introducing XGBoost
DataCamp Beginner 6y ago
Python Tutorial: Class distribution
ML Fundamentals
Python Tutorial: Class distribution
DataCamp Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Introduction to Generative AI - Art of the Possible
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Self-paced
Introduction to Generative AI - Art of the Possible
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Deploy, Manage, and Orchestrate Your Models
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Self-paced
Deploy, Manage, and Orchestrate Your Models
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Reinforcement Learning for Trading Strategies
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Self-paced
Reinforcement Learning for Trading Strategies
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Java Programming Fundamentals for Spring Boot Development
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Self-paced
Java Programming Fundamentals for Spring Boot Development
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Optimize TensorFlow Models For Deployment with TensorRT
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Self-paced
Optimize TensorFlow Models For Deployment with TensorRT
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Trees, SVM and Unsupervised Learning
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Self-paced
Trees, SVM and Unsupervised Learning
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