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
Linear Regression Gradient Descent From Scratch in Python
ML Fundamentals ⚡ AI Lesson
Linear Regression Gradient Descent From Scratch in Python
Aladdin Persson Beginner 6y ago
Derivation Linear Regression with Gradient Descent
ML Fundamentals ⚡ AI Lesson
Derivation Linear Regression with Gradient Descent
Aladdin Persson Beginner 6y ago
Advance your career in Data Science with the IBM Data Science Professional Certificate
ML Fundamentals
Advance your career in Data Science with the IBM Data Science Professional Certificate
Coursera Beginner 6y ago
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
ML Fundamentals ⚡ AI Lesson
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
Saïd Business School, University of Oxford Intermediate 6y ago
How Linear Algebra is not like Algebra with Charles Frye
ML Fundamentals
How Linear Algebra is not like Algebra with Charles Frye
Weights & Biases Advanced 6y ago
Testing Machine Learning Models with Eric Schles
ML Fundamentals
Testing Machine Learning Models with Eric Schles
Weights & Biases Advanced 6y ago
Inside TensorFlow: tf.data + tf.distribute
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: tf.data + tf.distribute
TensorFlow Advanced 6y ago
Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks  (Part 1) [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L12 Intro to Convolutional Neural Networks (Part 1) [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19
ML Fundamentals
What is a RNN ? | Introduction to Recurrent Neural Network FOR EVERYONE 19
What's AI by Louis-François Bouchard Beginner 6y ago
Accelerate models with TFLite Delegates (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Accelerate models with TFLite Delegates (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Secure and Private Deep Learning with PySyft - Democast #4
ML Fundamentals ⚡ AI Lesson
Secure and Private Deep Learning with PySyft - Democast #4
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
R Tutorial: Parameters vs hyperparameters
ML Fundamentals
R Tutorial: Parameters vs hyperparameters
DataCamp Beginner 6y ago
Deep Learning Chatbot R&D
ML Fundamentals ⚡ AI Lesson
Deep Learning Chatbot R&D
sentdex Beginner 6y ago
Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L11 Common Optimization Algorithms [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
R Tutorial: Distance metrics
ML Fundamentals ⚡ AI Lesson
R Tutorial: Distance metrics
DataCamp Beginner 6y ago
PyTorch Tutorial 16 - How To Use The TensorBoard
ML Fundamentals
PyTorch Tutorial 16 - How To Use The TensorBoard
Patrick Loeber Beginner 6y ago
When Data Science Goes Wrong
ML Fundamentals ⚡ AI Lesson
When Data Science Goes Wrong
Ken Jee Beginner 6y ago
Utilize This Time For Learning Skills And Improving Productivity- Saturday Motivation
ML Fundamentals
Utilize This Time For Learning Skills And Improving Productivity- Saturday Motivation
Krish Naik Beginner 6y ago
Friday Live Q&A- Data Science
ML Fundamentals
Friday Live Q&A- Data Science
Krish Naik Beginner 6y ago
Object Detection Clearly Explained for Everyone
ML Fundamentals
Object Detection Clearly Explained for Everyone
What's AI by Louis-François Bouchard Beginner 6y ago
UNT Bachelor of Applied Arts and Sciences (BAAS) Program Webinar
ML Fundamentals
UNT Bachelor of Applied Arts and Sciences (BAAS) Program Webinar
Coursera Beginner 6y ago
Geometry-Aware Neural Rendering with Josh Tobin - #360
ML Fundamentals ⚡ AI Lesson
Geometry-Aware Neural Rendering with Josh Tobin - #360
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
34,835 training images downloaded | Replicating Airbnb's Amenity Detection Part 6
ML Fundamentals
34,835 training images downloaded | Replicating Airbnb's Amenity Detection Part 6
Daniel Bourke Beginner 6y ago
I'm Sorry Dave, I Can't Do That: Practical Machine Learning for Information Security | SANS@MIC Talk
ML Fundamentals ⚡ AI Lesson
I'm Sorry Dave, I Can't Do That: Practical Machine Learning for Information Security | SANS@MIC Talk
SANS Institute Advanced 6y ago
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
ML Fundamentals ⚡ AI Lesson
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
Weights & Biases Beginner 6y ago
Layer-wise learning for quantum neural networks (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Layer-wise learning for quantum neural networks (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
TensorFlow Advanced 6y ago
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
TensorFlow Advanced 6y ago
R Tutorial: Out-of-sample error measures
ML Fundamentals ⚡ AI Lesson
R Tutorial: Out-of-sample error measures
DataCamp Beginner 6y ago
R Tutorial: Welcome to the Toolbox
ML Fundamentals
R Tutorial: Welcome to the Toolbox
DataCamp Beginner 6y ago
R Tutorial: Introduction to k-means clustering
ML Fundamentals
R Tutorial: Introduction to k-means clustering
DataCamp Beginner 6y ago
TensorFlow Lite for Microcontrollers (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
TensorFlow Lite for Microcontrollers (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Fairness Indicators for TensorFlow (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Fairness Indicators for TensorFlow (TF Dev Summit '20)
TensorFlow Beginner 6y ago
TensorFlow Extended (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
TensorFlow Extended (TF Dev Summit '20)
TensorFlow Advanced 6y ago
TensorFlow.js (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
TensorFlow.js (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Python Tutorial: Introduction to Conversational Software
ML Fundamentals
Python Tutorial: Introduction to Conversational Software
DataCamp Beginner 6y ago
Python Tutorial: Python for MATLAB Users | Intro
ML Fundamentals
Python Tutorial: Python for MATLAB Users | Intro
DataCamp Beginner 6y ago
Python Tutorial: Timeseries kinds and applications
ML Fundamentals
Python Tutorial: Timeseries kinds and applications
DataCamp Beginner 6y ago
Python Tutorial: Machine learning basics
ML Fundamentals
Python Tutorial: Machine learning basics
DataCamp Beginner 6y ago
Python Tutorial: Machine learning and time series data
ML Fundamentals
Python Tutorial: Machine learning and time series data
DataCamp Beginner 6y ago
R Tutorial: Getting started with caret
ML Fundamentals ⚡ AI Lesson
R Tutorial: Getting started with caret
DataCamp Beginner 6y ago
End to End Chatbot with Deployment And Custom Service Integration
ML Fundamentals
End to End Chatbot with Deployment And Custom Service Integration
Krish Naik Intermediate 6y ago
Intro to Deep Learning -- L10 Input and Weight Normalization Part 2/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L10 Input and Weight Normalization Part 2/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
R Tutorial : Overview of the Measure Development Process
ML Fundamentals ⚡ AI Lesson
R Tutorial : Overview of the Measure Development Process
DataCamp Beginner 6y ago
I have Reordered My Complete Machine Learning And Deep Learning Playlist- Complete it in 21 days
ML Fundamentals
I have Reordered My Complete Machine Learning And Deep Learning Playlist- Complete it in 21 days
Krish Naik Beginner 6y ago
Interview Questions On Statistics - Data Science Interviews
ML Fundamentals
Interview Questions On Statistics - Data Science Interviews
Krish Naik Beginner 6y ago
R Tutorial : Pitfalls of Trading System Development
ML Fundamentals
R Tutorial : Pitfalls of Trading System Development
DataCamp Beginner 6y ago
Intro to Deep Learning -- L10 Input and Weight Normalization Part 1/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L10 Input and Weight Normalization Part 1/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
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Supervised Learning and Its Applications in Marketing
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Supervised Learning and Its Applications in Marketing
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Python: Implement & Evaluate Random Forests for ML
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Python: Implement & Evaluate Random Forests for ML
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Encoder-Decoder Architecture
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Encoder-Decoder Architecture
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Regression Analysis for Statistics & Machine Learning in R
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Regression Analysis for Statistics & Machine Learning in R
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Practical Machine Learning without Coding
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Practical Machine Learning without Coding
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Learn MLOps for Machine Learning
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Learn MLOps for Machine Learning
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