Foundations

ML Fundamentals

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

13018
lessons
Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341
ML Fundamentals
Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341
Lex Fridman Beginner 3y ago
Latent Dirichlet Allocation (LDA) with Gibbs Sampling Explained
ML Fundamentals
Latent Dirichlet Allocation (LDA) with Gibbs Sampling Explained
Aladdin Persson Beginner 3y ago
Why Mean Squared Error is cool.
ML Fundamentals
Why Mean Squared Error is cool.
CodeEmporium Beginner 3y ago
House Price Prediction in Python - Full Machine Learning Project
ML Fundamentals
House Price Prediction in Python - Full Machine Learning Project
NeuralNine Beginner 3y ago
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
ML Fundamentals
MLOps in Practice: Common Challenges and Lessons Learned / Marouen Hizaoui & Mo Basirati/Meetup #114
MLOps.community Beginner 3y ago
Full Machine Learning Project — Coding a Fitness Tracker with Python (Part 1)
ML Fundamentals
Full Machine Learning Project — Coding a Fitness Tracker with Python (Part 1)
Dave Ebbelaar Beginner 3y ago
Why unbiased models aren't enough in machine learning
ML Fundamentals
Why unbiased models aren't enough in machine learning
CodeEmporium Beginner 3y ago
The Function That Changed Everything
ML Fundamentals
The Function That Changed Everything
Underfitted Beginner 3y ago
Fastest way to initialize a List in Python? (comparison of 3 options)
ML Fundamentals
Fastest way to initialize a List in Python? (comparison of 3 options)
Patrick Loeber Intermediate 3y ago
What’s in a candle flame?
ML Fundamentals
What’s in a candle flame?
Veritasium Intermediate 3y ago
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
ML Fundamentals
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
Stanford Online Intermediate 3y ago
How to Assemble a Deep Learning Machine - Full Process | Part 2
ML Fundamentals
How to Assemble a Deep Learning Machine - Full Process | Part 2
Aleksa Gordić - The AI Epiphany Intermediate 3y ago
Full-Stack ML Apps (Javascript, React, Streamlit) with Gradio API
ML Fundamentals
Full-Stack ML Apps (Javascript, React, Streamlit) with Gradio API
1littlecoder Beginner 3y ago
Engineering Production NLP Systems at T-Mobile - 600
ML Fundamentals
Engineering Production NLP Systems at T-Mobile - 600
The TWIML AI Podcast with Sam Charrington Intermediate 3y ago
How Word2Vec Works (CBOW & Skip-Gram, in 60 seconds)
ML Fundamentals
How Word2Vec Works (CBOW & Skip-Gram, in 60 seconds)
Aladdin Persson Beginner 3y ago
Basics of a Neural Network | Optimization Algorithms & Activation Function | DataHour
ML Fundamentals
Basics of a Neural Network | Optimization Algorithms & Activation Function | DataHour
Analytics Vidhya Beginner 3y ago
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
ML Fundamentals
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
Outerbounds Intermediate 3y ago
Should You Stop Splitting Your Data Like This?
ML Fundamentals
Should You Stop Splitting Your Data Like This?
Underfitted Beginner 3y ago
All Possible Ways To Apply Jobs In Data Science Industry
ML Fundamentals
All Possible Ways To Apply Jobs In Data Science Industry
Krish Naik Beginner 3y ago
Leading Disruptive Growth webinar - Why disruption is the new normal?
ML Fundamentals
Leading Disruptive Growth webinar - Why disruption is the new normal?
Saïd Business School, University of Oxford Beginner 3y ago
Lecture 14: Basic Hilbert Space Theory
ML Fundamentals
Lecture 14: Basic Hilbert Space Theory
MIT OpenCourseWare Beginner 3y ago
Access to space: who, what, when and why?
ML Fundamentals
Access to space: who, what, when and why?
Saïd Business School, University of Oxford Intermediate 3y ago
Legged Robots - Computerphile
ML Fundamentals
Legged Robots - Computerphile
Computerphile Intermediate 3y ago
Top 10 Python One Liners YOU MUST KNOW!
ML Fundamentals
Top 10 Python One Liners YOU MUST KNOW!
Patrick Loeber Intermediate 3y ago
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
ML Fundamentals
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
TensorFlow Beginner 3y ago
How to Build a Deep Learning Machine - Everything You Need To Know
ML Fundamentals
How to Build a Deep Learning Machine - Everything You Need To Know
Aleksa Gordić - The AI Epiphany Beginner 3y ago
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
ML Fundamentals
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
Analytics Vidhya Beginner 3y ago
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
ML Fundamentals
Google A.I. Diffusion Image Editing w/ Prompt to Prompt
sentdex Advanced 3y ago
Entri Elevate Supply Anthem ft.  @ShabareeshVarmaOfficial| @officialFejo| Varkey
ML Fundamentals
Entri Elevate Supply Anthem ft. @ShabareeshVarmaOfficial| @officialFejo| Varkey
Entri Coding മലയാളം Beginner 3y ago
Synthetic Dataset Creation for Machine Learning - Blender and Python
ML Fundamentals
Synthetic Dataset Creation for Machine Learning - Blender and Python
Rob Mulla Beginner 3y ago
Every Distance in Data Science (Almost 100K Subs!)
ML Fundamentals
Every Distance in Data Science (Almost 100K Subs!)
ritvikmath Beginner 3y ago
Never Trust an AI Demo
ML Fundamentals
Never Trust an AI Demo
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Branching out of the Notebook: ML Application Development with GitHub
ML Fundamentals
Branching out of the Notebook: ML Application Development with GitHub
DeepLearningAI Intermediate 3y ago
Bias Math in Machine Learning
ML Fundamentals
Bias Math in Machine Learning
CodeEmporium Beginner 3y ago
Bias in Machine Learning
ML Fundamentals
Bias in Machine Learning
CodeEmporium Beginner 3y ago
Bias Variance Tradeoff Explained!
ML Fundamentals
Bias Variance Tradeoff Explained!
CodeEmporium Beginner 3y ago
Why is lasso coefficients usually 0, but not ridge
ML Fundamentals
Why is lasso coefficients usually 0, but not ridge
CodeEmporium Beginner 3y ago
Continuous Bag of Words (CBOW) PyTorch Code Explained
ML Fundamentals
Continuous Bag of Words (CBOW) PyTorch Code Explained
Aladdin Persson Beginner 3y ago
Word2Vec Explained - CBOW & Skip-Gram Models
ML Fundamentals
Word2Vec Explained - CBOW & Skip-Gram Models
Aladdin Persson Beginner 3y ago
Bayesian analysis with Linear Regression
ML Fundamentals
Bayesian analysis with Linear Regression
CodeEmporium Beginner 3y ago
What is regularization trying to do?
ML Fundamentals
What is regularization trying to do?
CodeEmporium Beginner 3y ago
What is regularization?
ML Fundamentals
What is regularization?
CodeEmporium Beginner 3y ago
Leadership 2050: Andrew White and Toto Wolff
ML Fundamentals
Leadership 2050: Andrew White and Toto Wolff
Saïd Business School, University of Oxford Intermediate 3y ago
10 Years of Impact - Oxford Impact Investing Programme
ML Fundamentals
10 Years of Impact - Oxford Impact Investing Programme
Saïd Business School, University of Oxford Advanced 3y ago
Regularization - Explained!
ML Fundamentals
Regularization - Explained!
CodeEmporium Advanced 3y ago
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
ML Fundamentals
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Bias and Variance, Simplified
ML Fundamentals
Bias and Variance, Simplified
Underfitted Beginner 3y ago
Less Profit, More Humanity in Startup Culture
ML Fundamentals
Less Profit, More Humanity in Startup Culture
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Real-World Applications & Model Deployment in Java
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Self-paced
Real-World Applications & Model Deployment in Java
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Introduction to Calculus
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Introduction to Calculus
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Probabilistic Deep Learning with TensorFlow 2
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Probabilistic Deep Learning with TensorFlow 2
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Data Science with Python: Analyze & Visualize
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Self-paced
Data Science with Python: Analyze & Visualize
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Advanced PyTorch Techniques and Applications
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Self-paced
Advanced PyTorch Techniques and Applications
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Introduction to Linear Algebra and Python
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Introduction to Linear Algebra and Python
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