Foundations

ML Fundamentals

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

12989
lessons
Something that's spreading fast will be EXPOSED this Republic Day.
๐Ÿ“ ML Fundamentals
Something that's spreading fast will be EXPOSED this Republic Day.
codebasics Intermediate 2y ago
Decoding the Sigmoid Curve ๐Ÿ“‰ - Mysteries Unveiled ๐Ÿง  - Topic 057 #ai #ml
๐Ÿ“ ML Fundamentals
Decoding the Sigmoid Curve ๐Ÿ“‰ - Mysteries Unveiled ๐Ÿง  - Topic 057 #ai #ml
deeplizard Beginner 2y ago
๐Ÿ“ฃNo test scores, transcripts, or applications.
๐Ÿ“ ML Fundamentals
๐Ÿ“ฃNo test scores, transcripts, or applications.
Coursera Intermediate 2y ago
Fundamentals of AI Product Management - AI PM Community Session #32
๐Ÿ“ ML Fundamentals
Fundamentals of AI Product Management - AI PM Community Session #32
Product Management Exercises Beginner 2y ago
Stanford EE259 I Sonar ranging and bearing angle estimation I 2023 I Lecture 9
๐Ÿ“ ML Fundamentals
Stanford EE259 I Sonar ranging and bearing angle estimation I 2023 I Lecture 9
Stanford Online Beginner 2y ago
Exec Chef Steve Wren speaks about Veganuary  #oxfordsbs #vegan #veganfood
๐Ÿ“ ML Fundamentals
Exec Chef Steve Wren speaks about Veganuary #oxfordsbs #vegan #veganfood
Saรฏd Business School, University of Oxford Intermediate 2y ago
How much should you charge hourly as a Machine Learning freelancer?
๐Ÿ“ ML Fundamentals
How much should you charge hourly as a Machine Learning freelancer?
Underfitted Beginner 2y ago
Share your experience in the comments below
๐Ÿ“ ML Fundamentals
Share your experience in the comments below
codebasics Intermediate 2y ago
How to become a computer scientist with Dr Matthew Yee-King from the University of London
๐Ÿ“ ML Fundamentals
How to become a computer scientist with Dr Matthew Yee-King from the University of London
Coursera Beginner 2y ago
Google Machine Learning Bootcamp Korea 2023  Recap
๐Ÿ“ ML Fundamentals
Google Machine Learning Bootcamp Korea 2023 Recap
Google for Developers Advanced 2y ago
How CPUs Do Math(s) - Computerphile
๐Ÿ“ ML Fundamentals
How CPUs Do Math(s) - Computerphile
Computerphile Beginner 2y ago
Building Neural Network With Layers ๐Ÿ› ๏ธ - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 056 #ai
๐Ÿ“ ML Fundamentals
Building Neural Network With Layers ๐Ÿ› ๏ธ - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 056 #ai
deeplizard Beginner 2y ago
Is Machine Learning Still Relevant in 2024?
๐Ÿ“ ML Fundamentals
Is Machine Learning Still Relevant in 2024?
Krish Naik Beginner 2y ago
Stanford Lecture - Dancing Cells, Dr. Donald Knuth I 2023
๐Ÿ“ ML Fundamentals
Stanford Lecture - Dancing Cells, Dr. Donald Knuth I 2023
Stanford Online Beginner 2y ago
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - 668
๐Ÿ“ ML Fundamentals
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - 668
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
3 Lessons from AI & Data Consultants #freelancing
๐Ÿ“ ML Fundamentals
3 Lessons from AI & Data Consultants #freelancing
Shaw Talebi Intermediate 2y ago
Optimizers in Neural Networks - EXPLAINED!
๐Ÿ“ ML Fundamentals
Optimizers in Neural Networks - EXPLAINED!
CodeEmporium Advanced 2y ago
A Data Scientist's Prediction for the 2024 Election
๐Ÿ“ ML Fundamentals
A Data Scientist's Prediction for the 2024 Election
ritvikmath Intermediate 2y ago
Risk in Algorithmic Trading (with Anthony Markham, VP, Quantitative Developer at Deutsche Bank)
๐Ÿ“ ML Fundamentals
Risk in Algorithmic Trading (with Anthony Markham, VP, Quantitative Developer at Deutsche Bank)
DataCamp Beginner 2y ago
#175 Inside Algorithmic Trading with Anthony Markham, VP, Quantitative Developer at Deutsche Bank
๐Ÿ“ ML Fundamentals
#175 Inside Algorithmic Trading with Anthony Markham, VP, Quantitative Developer at Deutsche Bank
DataCamp Beginner 2y ago
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial
๐Ÿ“ ML Fundamentals
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial
edureka! Beginner 2y ago
A challenging puzzle about subset sums
๐Ÿ“ ML Fundamentals
A challenging puzzle about subset sums
3Blue1Brown Intermediate 2y ago
Building the Worldโ€™s Leading Verification Platform for Soil-Based Carbon Removal
๐Ÿ“ ML Fundamentals
Building the Worldโ€™s Leading Verification Platform for Soil-Based Carbon Removal
Outerbounds Beginner 2y ago
AI for Business: A (non-technical) introduction
๐Ÿ“ ML Fundamentals
AI for Business: A (non-technical) introduction
Shaw Talebi Beginner 2y ago
Ellipses have multiple definitions, how are these the same?
๐Ÿ“ ML Fundamentals
Ellipses have multiple definitions, how are these the same?
3Blue1Brown Intermediate 2y ago
Build observable ML/AI systems with Metaflow cards - a short demo
๐Ÿ“ ML Fundamentals
Build observable ML/AI systems with Metaflow cards - a short demo
Outerbounds Intermediate 2y ago
The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205
๐Ÿ“ ML Fundamentals
The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205
MLOps.community Advanced 2y ago
Different Ways Of Creating Python Environment In Data Science Projects- Conda,Virtualenv,Python
๐Ÿ“ ML Fundamentals
Different Ways Of Creating Python Environment In Data Science Projects- Conda,Virtualenv,Python
Krish Naik Beginner 2y ago
Progress Bars - Computerphile
๐Ÿ“ ML Fundamentals
Progress Bars - Computerphile
Computerphile Intermediate 2y ago
The Truth About AI Engineering
๐Ÿ“ ML Fundamentals
The Truth About AI Engineering
Jean Lee Beginner 2y ago
Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques  (3/5)
๐Ÿ“ ML Fundamentals
Multidimensional Scaling (MDS) | Dimensionality Reduction Techniques (3/5)
DeepFindr Beginner 2y ago
Build Yourself a Speech Translation App!
๐Ÿ“ ML Fundamentals
Build Yourself a Speech Translation App!
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Stanford EE259 I Inertial navigation, dead reckoning I 2023 I Lecture 7
๐Ÿ“ ML Fundamentals
Stanford EE259 I Inertial navigation, dead reckoning I 2023 I Lecture 7
Stanford Online Beginner 2y ago
Simple Neural Network Code Explainer ๐Ÿ” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 055 #ai
๐Ÿ“ ML Fundamentals
Simple Neural Network Code Explainer ๐Ÿ” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 055 #ai
deeplizard Beginner 2y ago
Key Fact About Neural Networks ๐Ÿ—๏ธ - Non What? ๐Ÿง - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 054 #ai
๐Ÿ“ ML Fundamentals
Key Fact About Neural Networks ๐Ÿ—๏ธ - Non What? ๐Ÿง - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 054 #ai
deeplizard Beginner 2y ago
Desk Break Squats with Mandy ๐Ÿ‹๏ธโ€โ™€๏ธ
๐Ÿ“ ML Fundamentals
Desk Break Squats with Mandy ๐Ÿ‹๏ธโ€โ™€๏ธ
deeplizard Beginner 2y ago
Metadata is data about data.
๐Ÿ“ ML Fundamentals
Metadata is data about data.
Coursera Beginner 2y ago
Neural Network Connection Strength ๐Ÿ’ช - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 053 #ai
๐Ÿ“ ML Fundamentals
Neural Network Connection Strength ๐Ÿ’ช - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 053 #ai
deeplizard Beginner 2y ago
Stanford EE259 I GPS satellite orbits, PRN ranging I 2023 I Lecture 3
๐Ÿ“ ML Fundamentals
Stanford EE259 I GPS satellite orbits, PRN ranging I 2023 I Lecture 3
Stanford Online Beginner 2y ago
Fully Connected Node Processing ๐Ÿ› ๏ธ - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 052 #ai
๐Ÿ“ ML Fundamentals
Fully Connected Node Processing ๐Ÿ› ๏ธ - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 052 #ai
deeplizard Beginner 2y ago
Data Science in the Mining Industry | The Secrets of Data in Mining
๐Ÿ“ ML Fundamentals
Data Science in the Mining Industry | The Secrets of Data in Mining
DataCamp Intermediate 2y ago
Stanford EE259 I GPS principle of operation, ranging codes & navigation messages I 2023 I Lecture 2
๐Ÿ“ ML Fundamentals
Stanford EE259 I GPS principle of operation, ranging codes & navigation messages I 2023 I Lecture 2
Stanford Online Beginner 2y ago
Hidden Layer Processing - Weights & Data ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 051 #ai
๐Ÿ“ ML Fundamentals
Hidden Layer Processing - Weights & Data ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 051 #ai
deeplizard Beginner 2y ago
End To End Resume Application Tracking System(ATS)  Using Google Gemini Pro Vision LIM Model
๐Ÿ“ ML Fundamentals
End To End Resume Application Tracking System(ATS) Using Google Gemini Pro Vision LIM Model
Krish Naik Beginner 2y ago
Three levels of understanding Bayes' theorem
๐Ÿ“ ML Fundamentals
Three levels of understanding Bayes' theorem
3Blue1Brown Intermediate 2y ago
Output Layer Processing - Prob Distribution ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 050 #ai
๐Ÿ“ ML Fundamentals
Output Layer Processing - Prob Distribution ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 050 #ai
deeplizard Beginner 2y ago
Stanford EE259 Principles of Sensing for Autonomy I Introduction, GPS overview I 2023 I Lecture 1
๐Ÿ“ ML Fundamentals
Stanford EE259 Principles of Sensing for Autonomy I Introduction, GPS overview I 2023 I Lecture 1
Stanford Online Beginner 2y ago
Input Layer Processing - It's only Data ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 049 #ai
๐Ÿ“ ML Fundamentals
Input Layer Processing - It's only Data ๐Ÿค” - Deep Learning Beginner ๐Ÿ–ฅ๏ธ๐Ÿง  - Topic 049 #ai
deeplizard Beginner 2y ago
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