Foundations

ML Fundamentals

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

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lessons
No Such Thing As Artificial Intelligence | Two Minute Papers #60
ML Fundamentals
No Such Thing As Artificial Intelligence | Two Minute Papers #60
Two Minute Papers Beginner 9y ago
Programming R Squared - Practical Machine Learning Tutorial with Python p.11
ML Fundamentals
Programming R Squared - Practical Machine Learning Tutorial with Python p.11
sentdex Beginner 9y ago
R Squared Theory - Practical Machine Learning Tutorial with Python p.10
ML Fundamentals
R Squared Theory - Practical Machine Learning Tutorial with Python p.10
sentdex Beginner 9y ago
“Coursera Is”: Learners Reflect on What Coursera Means to Them
ML Fundamentals
“Coursera Is”: Learners Reflect on What Coursera Means to Them
Coursera Beginner 9y ago
Integrals: Crash Course Physics #3
ML Fundamentals
Integrals: Crash Course Physics #3
CrashCourse Beginner 9y ago
10 Even Cooler Deep Learning Applications | Two Minute Papers #59
ML Fundamentals
10 Even Cooler Deep Learning Applications | Two Minute Papers #59
Two Minute Papers Beginner 9y ago
Aquinas & the Cosmological Arguments: Crash Course Philosophy #10
ML Fundamentals
Aquinas & the Cosmological Arguments: Crash Course Philosophy #10
CrashCourse Beginner 9y ago
Build a Neural Net in 4 Minutes
ML Fundamentals
Build a Neural Net in 4 Minutes
Siraj Raval Beginner 10y ago
The Brachistochrone, with Steven Strogatz
ML Fundamentals
The Brachistochrone, with Steven Strogatz
3Blue1Brown Beginner 10y ago
How reinforcement learning works in Becca 7
ML Fundamentals
How reinforcement learning works in Becca 7
Brandon Rohrer Beginner 10y ago
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
ML Fundamentals
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
Andrej Karpathy Beginner 10y ago
What Exactly is the Present?
ML Fundamentals
What Exactly is the Present?
Veritasium Beginner 10y ago
CS231n Winter 2016: Lecture 12: Deep Learning libraries
ML Fundamentals
CS231n Winter 2016: Lecture 12: Deep Learning libraries
Andrej Karpathy Beginner 10y ago
How to install Julia on Windows
ML Fundamentals
How to install Julia on Windows
codebasics Beginner 10y ago
Hardware vs Software & Digital Video - Computerphile
ML Fundamentals
Hardware vs Software & Digital Video - Computerphile
Computerphile Beginner 10y ago
How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
ML Fundamentals
How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
sentdex Beginner 9y ago
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
ML Fundamentals
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
sentdex Beginner 9y ago
Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
ML Fundamentals
Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
sentdex Beginner 9y ago
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
ML Fundamentals
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
sentdex Beginner 9y ago
Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
ML Fundamentals
Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
sentdex Beginner 9y ago
Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
ML Fundamentals
Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
sentdex Beginner 9y ago
Regression Intro - Practical Machine Learning Tutorial with Python p.2
ML Fundamentals
Regression Intro - Practical Machine Learning Tutorial with Python p.2
sentdex Beginner 9y ago
Practical Machine Learning Tutorial with Python Intro p.1
ML Fundamentals
Practical Machine Learning Tutorial with Python Intro p.1
sentdex Beginner 9y ago
Derivatives: Crash Course Physics #2
ML Fundamentals
Derivatives: Crash Course Physics #2
CrashCourse Beginner 10y ago
Anselm & the Argument for God: Crash Course Philosophy #9
ML Fundamentals
Anselm & the Argument for God: Crash Course Philosophy #9
CrashCourse Beginner 10y ago
From Doodles To Paintings With Deep Learning | Two Minute Papers #57
ML Fundamentals
From Doodles To Paintings With Deep Learning | Two Minute Papers #57
Two Minute Papers Beginner 10y ago
Motion in a Straight Line: Crash Course Physics #1
ML Fundamentals
Motion in a Straight Line: Crash Course Physics #1
CrashCourse Beginner 10y ago
Overfitting and Regularization For Deep Learning | Two Minute Papers #56
ML Fundamentals
Overfitting and Regularization For Deep Learning | Two Minute Papers #56
Two Minute Papers Beginner 10y ago
Locke, Berkeley, & Empiricism: Crash Course Philosophy #6
ML Fundamentals
Locke, Berkeley, & Empiricism: Crash Course Philosophy #6
CrashCourse Beginner 10y ago
How DeepMind's AlphaGo Defeated Lee Sedol | Two Minute Papers #53
ML Fundamentals
How DeepMind's AlphaGo Defeated Lee Sedol | Two Minute Papers #53
Two Minute Papers Beginner 10y ago
10 More Cool Deep Learning Applications | Two Minute Papers #52
ML Fundamentals
10 More Cool Deep Learning Applications | Two Minute Papers #52
Two Minute Papers Beginner 10y ago
Outtakes #5: Crash Course Government and Politics
ML Fundamentals
Outtakes #5: Crash Course Government and Politics
CrashCourse Beginner 10y ago
Social Policy: Crash Course Government and Politics #49
ML Fundamentals
Social Policy: Crash Course Government and Politics #49
CrashCourse Beginner 10y ago
How to Argue - Induction & Abduction: Crash Course Philosophy #3
ML Fundamentals
How to Argue - Induction & Abduction: Crash Course Philosophy #3
CrashCourse Beginner 10y ago
How to Argue - Philosophical Reasoning: Crash Course Philosophy #2
ML Fundamentals
How to Argue - Philosophical Reasoning: Crash Course Philosophy #2
CrashCourse Beginner 10y ago
Monetary and Fiscal Policy: Crash Course Government and Politics #48
ML Fundamentals
Monetary and Fiscal Policy: Crash Course Government and Politics #48
CrashCourse Beginner 10y ago
Data Analysis simplified with Ensmo.com
ML Fundamentals
Data Analysis simplified with Ensmo.com
sentdex Beginner 10y ago
What is Philosophy?: Crash Course Philosophy #1
ML Fundamentals
What is Philosophy?: Crash Course Philosophy #1
CrashCourse Beginner 10y ago
Government Regulation: Crash Course Government and Politics #47
ML Fundamentals
Government Regulation: Crash Course Government and Politics #47
CrashCourse Beginner 10y ago
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
ML Fundamentals
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
Two Minute Papers Beginner 10y ago
Market Economy: Crash Course Government and Politics #46
ML Fundamentals
Market Economy: Crash Course Government and Politics #46
CrashCourse Beginner 10y ago
Outtakes #5: Crash Course Astronomy
ML Fundamentals
Outtakes #5: Crash Course Astronomy
CrashCourse Beginner 10y ago
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
ML Fundamentals
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
Andrej Karpathy Beginner 10y ago
Designing Cities and Furnitures With Machine Learning | Two Minute Papers #36
ML Fundamentals
Designing Cities and Furnitures With Machine Learning | Two Minute Papers #36
Two Minute Papers Beginner 10y ago
Interest Group Formation: Crash Course Government and Politics #43
ML Fundamentals
Interest Group Formation: Crash Course Government and Politics #43
CrashCourse Beginner 10y ago
9 Cool Deep Learning Applications | Two Minute Papers #35
ML Fundamentals
9 Cool Deep Learning Applications | Two Minute Papers #35
Two Minute Papers Beginner 10y ago
CS231n Winter 2016: Lecture1: Introduction and Historical Context
ML Fundamentals
CS231n Winter 2016: Lecture1: Introduction and Historical Context
Andrej Karpathy Beginner 10y ago
Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34
ML Fundamentals
Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34
Two Minute Papers Beginner 10y ago
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Technologies and platforms for Artificial Intelligence
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Technologies and platforms for Artificial Intelligence
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Using R for Geostatistical Geospatial Modeling
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Using R for Geostatistical Geospatial Modeling
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Predictive Analytics
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Predictive Analytics
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Machine Learning Basics
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Machine Learning Basics
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Google Cloud Speech API: Qwik Start
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Google Cloud Speech API: Qwik Start
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Introduction to Statistics & Data Analysis in Public Health
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Introduction to Statistics & Data Analysis in Public Health
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