Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Pandas Time Series Analysis 5: Period and PeriodIndex
ML Fundamentals
Pandas Time Series Analysis 5: Period and PeriodIndex
codebasics Beginner 8y ago
Graduating From the Udacity Deep Learning Nanodegree | 100 Days of Code 15
ML Fundamentals
Graduating From the Udacity Deep Learning Nanodegree | 100 Days of Code 15
Daniel Bourke Beginner 8y ago
Simple linear regression model. Geometrical representation
ML Fundamentals ⚡ AI Lesson
Simple linear regression model. Geometrical representation
365 Data Science Beginner 8y ago
The linear regression model
ML Fundamentals
The linear regression model
365 Data Science Beginner 8y ago
GENERATING FACES WITH GANs | 100 Days of Code 14
ML Fundamentals
GENERATING FACES WITH GANs | 100 Days of Code 14
Daniel Bourke Beginner 8y ago
Pandas Time Series Analysis 4: to_datetime
ML Fundamentals
Pandas Time Series Analysis 4: to_datetime
codebasics Beginner 8y ago
Smart Buildings & IoT with Yodit Stanton - #36
ML Fundamentals
Smart Buildings & IoT with Yodit Stanton - #36
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Dimensionality Reduction - The Math of Intelligence #5
ML Fundamentals
Dimensionality Reduction - The Math of Intelligence #5
Siraj Raval Beginner 8y ago
Estimating Sheep Pain with Facial Recognition
ML Fundamentals ⚡ AI Lesson
Estimating Sheep Pain with Facial Recognition
Data Skeptic Beginner 8y ago
Expressive AI-Generated Music With Google's Performance RNN with Doug Eck  - #32
ML Fundamentals
Expressive AI-Generated Music With Google's Performance RNN with Doug Eck - #32
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
[MINI] The Vanishing Gradient
ML Fundamentals ⚡ AI Lesson
[MINI] The Vanishing Gradient
Data Skeptic Beginner 8y ago
Operating Systems: Crash Course Computer Science #18
ML Fundamentals
Operating Systems: Crash Course Computer Science #18
CrashCourse Beginner 8y ago
Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
ML Fundamentals
Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
Brandon Rohrer Beginner 8y ago
StatQuest: Hierarchical Clustering
ML Fundamentals ⚡ AI Lesson
StatQuest: Hierarchical Clustering
StatQuest with Josh Starmer Beginner 8y ago
At the Intersection of AI, Governments, and Google - Tim Hwang
ML Fundamentals
At the Intersection of AI, Governments, and Google - Tim Hwang
Y Combinator Beginner 8y ago
Data Structures: Crash Course Computer Science #14
ML Fundamentals
Data Structures: Crash Course Computer Science #14
CrashCourse Beginner 8y ago
All possible pythagorean triples, visualized
ML Fundamentals
All possible pythagorean triples, visualized
3Blue1Brown Beginner 8y ago
Pi hiding in prime regularities
ML Fundamentals ⚡ AI Lesson
Pi hiding in prime regularities
3Blue1Brown Beginner 8y ago
11. Introduction to Machine Learning
51:31
ML Fundamentals ⚡ AI Lesson
11. Introduction to Machine Learning
MIT OpenCourseWare Beginner 8y ago
Central limit theorem
ML Fundamentals
Central limit theorem
365 Data Science Beginner 8y ago
The Normal Distribution
ML Fundamentals
The Normal Distribution
365 Data Science Beginner 8y ago
What is a distribution?
ML Fundamentals
What is a distribution?
365 Data Science Beginner 8y ago
Skewness
ML Fundamentals
Skewness
365 Data Science Beginner 8y ago
Population vs Sample
ML Fundamentals
Population vs Sample
365 Data Science Beginner 8y ago
Finishing the Treehouse Python Track | 100 Days of Code 13
ML Fundamentals ⚡ AI Lesson
Finishing the Treehouse Python Track | 100 Days of Code 13
Daniel Bourke Beginner 8y ago
Pandas Time Series Analysis 3: Holidays
ML Fundamentals
Pandas Time Series Analysis 3: Holidays
codebasics Beginner 8y ago
Completing Andrew Ng's Machine Learning Course on Coursera | 100 Days of Code 12
ML Fundamentals
Completing Andrew Ng's Machine Learning Course on Coursera | 100 Days of Code 12
Daniel Bourke Beginner 8y ago
Pandas Time Series Analysis Part 2: date_range
ML Fundamentals
Pandas Time Series Analysis Part 2: date_range
codebasics Beginner 8y ago
Pandas Time Series Analysis Part 1: DatetimeIndex and Resample
ML Fundamentals
Pandas Time Series Analysis Part 1: DatetimeIndex and Resample
codebasics Beginner 8y ago
Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11
ML Fundamentals ⚡ AI Lesson
Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11
Daniel Bourke Beginner 8y ago
Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35
ML Fundamentals ⚡ AI Lesson
Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Video Object Detection at Scale with Reza Zadeh - #34
ML Fundamentals
Video Object Detection at Scale with Reza Zadeh - #34
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
The Power of Probabilistic Programming with Ben Vigoda - #33
ML Fundamentals
The Power of Probabilistic Programming with Ben Vigoda - #33
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Udacity Deep Learning Nanodegree Language Translation Project Submission | 100 Days of Code 10
ML Fundamentals
Udacity Deep Learning Nanodegree Language Translation Project Submission | 100 Days of Code 10
Daniel Bourke Beginner 8y ago
Python Pandas Tutorial 12. Stack Unstack
ML Fundamentals
Python Pandas Tutorial 12. Stack Unstack
codebasics Beginner 8y ago
Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - #30
ML Fundamentals ⚡ AI Lesson
Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - #30
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Python Pandas Tutorial 11. Reshape dataframe using melt
ML Fundamentals
Python Pandas Tutorial 11. Reshape dataframe using melt
codebasics Beginner 8y ago
Doctor AI
ML Fundamentals ⚡ AI Lesson
Doctor AI
Data Skeptic Beginner 8y ago
Activation Functions
ML Fundamentals ⚡ AI Lesson
Activation Functions
Data Skeptic Beginner 8y ago
GENERATING TV SCRIPTS WITH DEEP LEARNING | 100 Days of Code 7
ML Fundamentals
GENERATING TV SCRIPTS WITH DEEP LEARNING | 100 Days of Code 7
Daniel Bourke Beginner 8y ago
Python Pandas Tutorial 10. Pivot table
ML Fundamentals
Python Pandas Tutorial 10. Pivot table
codebasics Beginner 8y ago
Global AI Trends with Ben Lorica - #26
ML Fundamentals
Global AI Trends with Ben Lorica - #26
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
MACHINE LEARNING IN 5 MINUTES
ML Fundamentals
MACHINE LEARNING IN 5 MINUTES
Daniel Bourke Beginner 8y ago
Job Interview Tips and Open Ocean Swim | 100 Days of Code 4
ML Fundamentals ⚡ AI Lesson
Job Interview Tips and Open Ocean Swim | 100 Days of Code 4
Daniel Bourke Beginner 8y ago
Offensive vs Defensive Data Science with Deep Varma - #25
ML Fundamentals
Offensive vs Defensive Data Science with Deep Varma - #25
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Intro to Algorithms: Crash Course Computer Science #13
ML Fundamentals
Intro to Algorithms: Crash Course Computer Science #13
CrashCourse Beginner 8y ago
MORE MACHINE LEARNING | 100 Days of Code 2
ML Fundamentals
MORE MACHINE LEARNING | 100 Days of Code 2
Daniel Bourke Beginner 8y ago
Introducing Psycholinguistics into AI with Dominique Simmons- #23
ML Fundamentals ⚡ AI Lesson
Introducing Psycholinguistics into AI with Dominique Simmons- #23
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
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Digital Signal Processing 3: Analog vs Digital
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Digital Signal Processing 3: Analog vs Digital
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Carbon Aware Computing for GenAI Developers
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Carbon Aware Computing for GenAI Developers
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Machine Learning for Data Analysis
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Machine Learning for Data Analysis
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Optimize Vision Datasets: Augment and Analyze
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Optimize Vision Datasets: Augment and Analyze
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Create Image Captioning Models - Italiano
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Create Image Captioning Models - Italiano
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Integral Calculus and Numerical Analysis for Data Science
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Integral Calculus and Numerical Analysis for Data Science
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