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📐 ML Fundamentals

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

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Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]
📐 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
📐 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
📐 ML Fundamentals
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Krish Naik Beginner 5y ago
Mutability in Python : Python Basics
📐 ML Fundamentals
Mutability in Python : Python Basics
ritvikmath Beginner 5y ago
Backpropagation and the brain
📐 ML Fundamentals
Backpropagation and the brain
Yannic Kilcher Beginner 5y ago
Pytorch DCGAN Tutorial (See description for updated video)
📐 ML Fundamentals
Pytorch DCGAN Tutorial (See description for updated video)
Aladdin Persson Beginner 5y ago
Python Tutorial : Unsupervised Learning in Python
📐 ML Fundamentals
Python Tutorial : Unsupervised Learning in Python
DataCamp Beginner 5y ago
Python Tutorial : Introduction to Linear Modeling in Python
📐 ML Fundamentals
Python Tutorial : Introduction to Linear Modeling in Python
DataCamp Beginner 5y ago
Self Driving Cars and Pedestrians
📐 ML Fundamentals
Self Driving Cars and Pedestrians
Data Skeptic Beginner 5y ago
This AI Learned to Summarize Videos 🎥
📐 ML Fundamentals
This AI Learned to Summarize Videos 🎥
Two Minute Papers Beginner 5y ago
Resume driven development in Machine learning & software engineering
📐 ML Fundamentals
Resume driven development in Machine learning & software engineering
MLOps.community Beginner 5y ago
Swiss Cheese model in Machine Learning
📐 ML Fundamentals
Swiss Cheese model in Machine Learning
MLOps.community Beginner 5y ago
Pytorch TensorBoard Tutorial
📐 ML Fundamentals
Pytorch TensorBoard Tutorial
Aladdin Persson Beginner 5y ago
Neural Networks from Scratch - P.2 Coding a Layer
📐 ML Fundamentals
Neural Networks from Scratch - P.2 Coding a Layer
sentdex Beginner 5y ago
Neural Networks Simply Explained (Theory)
📐 ML Fundamentals
Neural Networks Simply Explained (Theory)
NeuralNine Beginner 5y ago
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
📐 ML Fundamentals
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
Weights & Biases Beginner 5y ago
Sequence Models with Pujaa Rajan
📐 ML Fundamentals
Sequence Models with Pujaa Rajan
Weights & Biases Beginner 5y 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 5y ago
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
📐 ML Fundamentals
Intro to Deep Learning -- L15 Autoencoders [Stat453, SS20]
Sebastian Raschka Beginner 5y 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 5y 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 5y ago
PyTorch Tutorial 17 - Saving and Loading Models
📐 ML Fundamentals
PyTorch Tutorial 17 - Saving and Loading Models
Patrick Loeber Beginner 5y ago
Dictionaries : Python Basics
📐 ML Fundamentals
Dictionaries : Python Basics
ritvikmath Beginner 5y ago
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
📐 ML Fundamentals
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Krish Naik Beginner 5y ago
Python Tutorial: Unsupervised learning: basics
📐 ML Fundamentals
Python Tutorial: Unsupervised learning: basics
DataCamp Beginner 5y ago
Python Tutorial : Fundamentals of AI in Python
📐 ML Fundamentals
Python Tutorial : Fundamentals of AI in Python
DataCamp Beginner 5y ago
Python Tutorial : Three flavors of Machine Learning
📐 ML Fundamentals
Python Tutorial : Three flavors of Machine Learning
DataCamp Beginner 5y ago
Python Tutorial: Reading, inspecting, & cleaning data from csv files
📐 ML Fundamentals
Python Tutorial: Reading, inspecting, & cleaning data from csv files
DataCamp Beginner 5y ago
R Tutorial: A first taste of Bayes
📐 ML Fundamentals
R Tutorial: A first taste of Bayes
DataCamp Beginner 5y ago
Python Tutorial : Constants and variables
📐 ML Fundamentals
Python Tutorial : Constants and variables
DataCamp Beginner 5y ago
Python Tutorial : Advanced operations
📐 ML Fundamentals
Python Tutorial : Advanced operations
DataCamp Beginner 5y ago
R Tutorial: Introduction to feature engineering in R
📐 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
📐 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
📐 ML Fundamentals
Learning from real life Machine Learning failures
MLOps.community Beginner 5y ago
Current State Of Machine Learning
📐 ML Fundamentals
Current State Of Machine Learning
MLOps.community Beginner 5y ago
Scala Tutorial: A scalable language
📐 ML Fundamentals
Scala Tutorial: A scalable language
DataCamp Beginner 5y ago
R Tutorial: Machine Learning with Tree-Based Models | Intro
📐 ML Fundamentals
R Tutorial: Machine Learning with Tree-Based Models | Intro
DataCamp Beginner 5y ago
R Tutorial: Evaluating classification model performance
📐 ML Fundamentals
R Tutorial: Evaluating classification model performance
DataCamp Beginner 5y ago
R Tutorial: Introduction to classification trees
📐 ML Fundamentals
R Tutorial: Introduction to classification trees
DataCamp Beginner 5y 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 5y 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 5y ago
Intro to Deep Learning -- L14 Intro to Recurrent Neural Networks [Stat453, SS20]
📐 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
📐 ML Fundamentals
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
DataCamp Beginner 5y ago
Pytorch ResNet implementation from Scratch
📐 ML Fundamentals
Pytorch ResNet implementation from Scratch
Aladdin Persson Beginner 5y ago
Teachable  Machine By Google- Train Your Model With Ease
📐 ML Fundamentals
Teachable Machine By Google- Train Your Model With Ease
Krish Naik Beginner 5y ago
Python Tutorial: Introducing convolutional neural networks
📐 ML Fundamentals
Python Tutorial: Introducing convolutional neural networks
DataCamp Beginner 5y ago
Python Tutorial: Image classification with Keras
📐 ML Fundamentals
Python Tutorial: Image classification with Keras
DataCamp Beginner 5y ago
Python Tutorial: Classifying images
📐 ML Fundamentals
Python Tutorial: Classifying images
DataCamp Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Compare Models with Experiments in Azure ML Studio
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Self-paced
Compare Models with Experiments in Azure ML Studio
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Artificial Intelligence in Social Media Analytics
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Self-paced
Artificial Intelligence in Social Media Analytics
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Foundations and Core Concepts of PyTorch
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Self-paced
Foundations and Core Concepts of PyTorch
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Unlocking AI and ML : Your Path to Smart Business Solutions
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Self-paced
Unlocking AI and ML : Your Path to Smart Business Solutions
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Deep Learning with PyTorch : Object Localization
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Self-paced
Deep Learning with PyTorch : Object Localization
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Basic Math: Derivatives
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Self-paced
Basic Math: Derivatives
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