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📐 ML Fundamentals

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

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Reproducability flaws in end to end Machine Learning debugging
ML Fundamentals ⚡ AI Lesson
Reproducability flaws in end to end Machine Learning debugging
MLOps.community Beginner 6y ago
Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali
ML Fundamentals
Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali
MLOps.community Beginner 6y ago
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 6y 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 6y ago
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
ML Fundamentals
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Krish Naik Beginner 6y ago
How do GPUs speed up Neural Network training?
ML Fundamentals ⚡ AI Lesson
How do GPUs speed up Neural Network training?
CodeEmporium Advanced 6y ago
Backpropagation and the brain
ML Fundamentals ⚡ AI Lesson
Backpropagation and the brain
Yannic Kilcher Beginner 6y ago
Pytorch DCGAN Tutorial (See description for updated video)
ML Fundamentals
Pytorch DCGAN Tutorial (See description for updated video)
Aladdin Persson Beginner 6y ago
Python Tutorial : Transforming features for better clusterings
ML Fundamentals
Python Tutorial : Transforming features for better clusterings
DataCamp Beginner 6y ago
Python Tutorial : Unsupervised Learning in Python
ML Fundamentals
Python Tutorial : Unsupervised Learning in Python
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
Shortcut Learning in Deep Neural Networks
ML Fundamentals ⚡ AI Lesson
Shortcut Learning in Deep Neural Networks
Yannic Kilcher Intermediate 6y ago
Advanced Theory | Neural Style Transfer #4
ML Fundamentals
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany Advanced 6y ago
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
ML Fundamentals
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur Intermediate 6y ago
Pytorch TensorBoard Tutorial
ML Fundamentals ⚡ AI Lesson
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
Adjacent usecases and multistep feature engineering
ML Fundamentals
Adjacent usecases and multistep feature engineering
MLOps.community Beginner 6y ago
Checkpointing, metadata, and confidence in your data
ML Fundamentals
Checkpointing, metadata, and confidence in your data
MLOps.community Beginner 6y ago
How many models in prod til I need a dedicated ML platform?
ML Fundamentals
How many models in prod til I need a dedicated ML platform?
MLOps.community Beginner 6y ago
More difficult transition for data scientists to become ML engineers
ML Fundamentals
More difficult transition for data scientists to become ML engineers
MLOps.community Beginner 6y ago
Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning
ML Fundamentals
Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning
MLOps.community Beginner 6y ago
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
ML Fundamentals
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Krish Naik Beginner 6y ago
Python Tutorial : Logistic regression
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Logistic regression
DataCamp Beginner 6y ago
Python Tutorial : Introduction to Linear Modeling in Python
ML Fundamentals
Python Tutorial : Introduction to Linear Modeling in Python
DataCamp Beginner 6y ago
Python Tutorial: Basics of cluster analysis
ML Fundamentals
Python Tutorial: Basics of cluster analysis
DataCamp Beginner 6y ago
Python Tutorial: Unsupervised learning: basics
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Unsupervised learning: basics
DataCamp Beginner 6y ago
Python Tutorial : Fundamentals of AI in Python
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Fundamentals of AI in Python
DataCamp Beginner 6y ago
Python Tutorial : Three flavors of Machine Learning
ML Fundamentals
Python Tutorial : Three flavors of Machine Learning
DataCamp Beginner 6y ago
Python Tutorial: Reading, inspecting, & cleaning data from csv files
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Reading, inspecting, & cleaning data from csv files
DataCamp Beginner 6y ago
R Tutorial: A first taste of Bayes
ML Fundamentals ⚡ AI Lesson
R Tutorial: A first taste of Bayes
DataCamp Beginner 6y ago
Python Tutorial : Constants and variables
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Constants and variables
DataCamp 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
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
Who has the highest standards in ML?
ML Fundamentals
Who has the highest standards in ML?
MLOps.community Intermediate 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
Survivorship Bias in machine learning tutorials
ML Fundamentals ⚡ AI Lesson
Survivorship Bias in machine learning tutorials
MLOps.community Intermediate 6y ago
Learning from real life Machine Learning failures
ML Fundamentals
Learning from real life Machine Learning failures
MLOps.community Beginner 6y ago
Humans in the Loop are a defining factor in Machine Learning
ML Fundamentals
Humans in the Loop are a defining factor in Machine Learning
MLOps.community Intermediate 6y ago
Sharing My Experience- How Teaching Has Improved My Data Science Skills
ML Fundamentals
Sharing My Experience- How Teaching Has Improved My Data Science Skills
Krish Naik Intermediate 6y ago
Current State Of Machine Learning
ML Fundamentals
Current State Of Machine Learning
MLOps.community Beginner 6y ago
Specific challenges in Machine Learning
ML Fundamentals
Specific challenges in Machine Learning
MLOps.community Intermediate 6y ago
MLOps: Airflow Pros and Cons
ML Fundamentals
MLOps: Airflow Pros and Cons
MLOps.community Intermediate 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
📚 Coursera Courses Opens on Coursera · Free to audit
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Linear Regression & Supervised Learning in Python
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Self-paced
Linear Regression & Supervised Learning in Python
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Machine Learning with Neural Networks
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Self-paced
Machine Learning with Neural Networks
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Visual Perception for Self-Driving Cars
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Self-paced
Visual Perception for Self-Driving Cars
Opens on Coursera ↗
Data Engineering in AWS
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Self-paced
Data Engineering in AWS
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AI Foundations & Industry Overview for Telecommunication
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Self-paced
AI Foundations & Industry Overview for Telecommunication
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Digital Signal Processing 1: Basic Concepts and Algorithms
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Self-paced
Digital Signal Processing 1: Basic Concepts and Algorithms
Opens on Coursera ↗