Foundations

ML Fundamentals

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

8502
lessons
How to build custom Datasets for Text in Pytorch
📐 ML Fundamentals
How to build custom Datasets for Text in Pytorch
Aladdin Persson Beginner 5y ago
2020 Machine Learning Roadmap (87% valid for 2024)
📐 ML Fundamentals
2020 Machine Learning Roadmap (87% valid for 2024)
Daniel Bourke Beginner 5y ago
Live Unboxing MSI Laptop For Machine Learning And Deep Learning
📐 ML Fundamentals
Live Unboxing MSI Laptop For Machine Learning And Deep Learning
Krish Naik Beginner 5y ago
Pytorch Tutorial 1-Pytorch Installation For Deep Learning
📐 ML Fundamentals
Pytorch Tutorial 1-Pytorch Installation For Deep Learning
Krish Naik Beginner 5y ago
Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
📐 ML Fundamentals
Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
📐 ML Fundamentals
Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
codebasics Beginner 5y ago
MONAI – An Open Source Framework for AI Development in Medical Imaging
📐 ML Fundamentals
MONAI – An Open Source Framework for AI Development in Medical Imaging
PyTorch Beginner 5y ago
MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev
📐 ML Fundamentals
MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev
MLOps.community Beginner 5y ago
Linear Programming, PySimpleGUI, and More | Real Python Podcast #17
📐 ML Fundamentals
Linear Programming, PySimpleGUI, and More | Real Python Podcast #17
Real Python Beginner 5y ago
Simple Fast 3-step Python OCR using Deep Learning 40+ Languages
📐 ML Fundamentals
Simple Fast 3-step Python OCR using Deep Learning 40+ Languages
1littlecoder Beginner 5y ago
3D Deep Learning with PyTorch3D by Nikhila Ravi
📐 ML Fundamentals
3D Deep Learning with PyTorch3D by Nikhila Ravi
PyTorch Beginner 5y ago
Inside TensorFlow: New TF Lite Converter
📐 ML Fundamentals
Inside TensorFlow: New TF Lite Converter
TensorFlow Beginner 5y ago
Linear Regression From Scratch - Part 3
📐 ML Fundamentals
Linear Regression From Scratch - Part 3
Imaad Mohamed Khan Beginner 5y ago
Optimize Your ML Models - Avoid Underfitting and Overfitting
📐 ML Fundamentals
Optimize Your ML Models - Avoid Underfitting and Overfitting
What's AI by Louis-François Bouchard Beginner 5y ago
Python Machine Learning with Scikit Learn - Regression || Python Machine Learning PT.3
📐 ML Fundamentals
Python Machine Learning with Scikit Learn - Regression || Python Machine Learning PT.3
Nicholas Renotte Beginner 5y ago
Singular Values vs. Eigenvalues : Data Science Basics
📐 ML Fundamentals
Singular Values vs. Eigenvalues : Data Science Basics
ritvikmath Beginner 5y ago
[Live Machine Learning Research] Plain Self-Ensembles (I actually DISCOVER SOMETHING) - Part 1
📐 ML Fundamentals
[Live Machine Learning Research] Plain Self-Ensembles (I actually DISCOVER SOMETHING) - Part 1
Yannic Kilcher Beginner 5y ago
One Neural Network to Rule Them All (and more) | Machine Learning Monthly June 2020
📐 ML Fundamentals
One Neural Network to Rule Them All (and more) | Machine Learning Monthly June 2020
Daniel Bourke Beginner 5y ago
Simple Python GUI Development using {guietta}
📐 ML Fundamentals
Simple Python GUI Development using {guietta}
1littlecoder Beginner 5y ago
MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen
📐 ML Fundamentals
MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen
MLOps.community Beginner 5y ago
Linear Regression From Scratch - Part 2
📐 ML Fundamentals
Linear Regression From Scratch - Part 2
Imaad Mohamed Khan Beginner 5y ago
Talks # 6: Mani Sarkar: From backend development to machine learning
📐 ML Fundamentals
Talks # 6: Mani Sarkar: From backend development to machine learning
Abhishek Thakur Beginner 5y ago
Data Science Interview (Tips and Tricks) [Ft. Data Science Jay]
📐 ML Fundamentals
Data Science Interview (Tips and Tricks) [Ft. Data Science Jay]
Data Professor Beginner 5y ago
Deep Learning Salon by Weights & Biases
📐 ML Fundamentals
Deep Learning Salon by Weights & Biases
Weights & Biases Beginner 5y ago
Pytorch Neural Style Transfer Tutorial
📐 ML Fundamentals
Pytorch Neural Style Transfer Tutorial
Aladdin Persson Beginner 5y ago
Exploratory Data Analysis With Pandas || Python Machine Learning PT.1
📐 ML Fundamentals
Exploratory Data Analysis With Pandas || Python Machine Learning PT.1
Nicholas Renotte Beginner 5y ago
Singular Value Decomposition : Data Science Basics
📐 ML Fundamentals
Singular Value Decomposition : Data Science Basics
ritvikmath Beginner 5y ago
Unsupervised Learning | PCA and Clustering | Data Science with Marco
📐 ML Fundamentals
Unsupervised Learning | PCA and Clustering | Data Science with Marco
Data Science with Marco Beginner 5y ago
14: Rate Models and Perceptrons - Intro to Neural Computation
📐 ML Fundamentals
14: Rate Models and Perceptrons - Intro to Neural Computation
MIT OpenCourseWare Beginner 5y ago
FREE Machine Learning Crash Course from Google
📐 ML Fundamentals
FREE Machine Learning Crash Course from Google
Data Professor Beginner 5y ago
David Patterson: Computer Architecture and Data Storage | Lex Fridman Podcast #104
📐 ML Fundamentals
David Patterson: Computer Architecture and Data Storage | Lex Fridman Podcast #104
Lex Fridman Beginner 5y ago
Python Regular Expressions, Views vs Copies in Pandas, and More | Real Python Podcast #15
📐 ML Fundamentals
Python Regular Expressions, Views vs Copies in Pandas, and More | Real Python Podcast #15
Real Python Beginner 5y ago
Advanced Facebook Ad Account Structure For eCommerce
📐 ML Fundamentals
Advanced Facebook Ad Account Structure For eCommerce
The Social Savannah Beginner 5y ago
1. Artificial Intelligence and Machine Learning
📐 ML Fundamentals
1. Artificial Intelligence and Machine Learning
MIT OpenCourseWare Beginner 5y ago
Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
📐 ML Fundamentals
Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
📐 ML Fundamentals
Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
Yannic Kilcher Beginner 5y ago
PyTorch Pruning | How it's Made by Michela Paganini
📐 ML Fundamentals
PyTorch Pruning | How it's Made by Michela Paganini
PyTorch Beginner 5y ago
What is Torchtext?
📐 ML Fundamentals
What is Torchtext?
PyTorch Beginner 5y ago
Live Project-Stock Sentiment Analysis using News Headlines Machine Learning
📐 ML Fundamentals
Live Project-Stock Sentiment Analysis using News Headlines Machine Learning
Krish Naik Beginner 5y ago
Linear Regression From Scratch - Part 1
📐 ML Fundamentals
Linear Regression From Scratch - Part 1
Imaad Mohamed Khan Beginner 5y ago
Live- Implementation of End To End Kaggle Machine Learning Project With Deployment
📐 ML Fundamentals
Live- Implementation of End To End Kaggle Machine Learning Project With Deployment
Krish Naik Beginner 5y ago
Eigendecomposition : Data Science Basics
📐 ML Fundamentals
Eigendecomposition : Data Science Basics
ritvikmath Beginner 5y ago
Is data science a hype? | Is data science a bubble?
📐 ML Fundamentals
Is data science a hype? | Is data science a bubble?
codebasics Beginner 5y ago
Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)
📐 ML Fundamentals
Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)
Aladdin Persson Beginner 5y ago
Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning
📐 ML Fundamentals
Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning
Krish Naik Beginner 5y ago
2. Cyber Network Data Processing; AI Data Architecture
📐 ML Fundamentals
2. Cyber Network Data Processing; AI Data Architecture
MIT OpenCourseWare Beginner 5y ago
Pytorch Tutorial - Setting up a Deep Learning Environment (Anaconda & PyCharm)
📐 ML Fundamentals
Pytorch Tutorial - Setting up a Deep Learning Environment (Anaconda & PyCharm)
Aladdin Persson Beginner 5y ago
Pytorch Transformers for Machine Translation
📐 ML Fundamentals
Pytorch Transformers for Machine Translation
Aladdin Persson Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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AI Fundamentals in Financial Services
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Self-paced
AI Fundamentals in Financial Services
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Linear Algebra: Orthogonality and Diagonalization
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Self-paced
Linear Algebra: Orthogonality and Diagonalization
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Securing AI Systems
📚 Coursera Course ↗
Self-paced
Securing AI Systems
Opens on Coursera ↗
Machine Learning with Python
📚 Coursera Course ↗
Self-paced
Machine Learning with Python
Opens on Coursera ↗
Building Regression Models with Linear Algebra
📚 Coursera Course ↗
Self-paced
Building Regression Models with Linear Algebra
Opens on Coursera ↗
Introduction to Generative AI - Italiano
📚 Coursera Course ↗
Self-paced
Introduction to Generative AI - Italiano
Opens on Coursera ↗