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📐 ML Fundamentals

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

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Demystifying Data Mining - A Clear and Concise Explanation
📐 ML Fundamentals
Demystifying Data Mining - A Clear and Concise Explanation
What's AI by Louis-François Bouchard Beginner 5y ago
Python Tutorial : Data transforms, features, and targets
📐 ML Fundamentals
Python Tutorial : Data transforms, features, and targets
DataCamp Beginner 5y ago
Python Tutorial : Linear modeling with financial data
📐 ML Fundamentals
Python Tutorial : Linear modeling with financial data
DataCamp Beginner 5y ago
This Neural Network Learned To Look Around In Real Scenes! (NERF)
📐 ML Fundamentals
This Neural Network Learned To Look Around In Real Scenes! (NERF)
Two Minute Papers Beginner 5y ago
Neural Networks from Scratch - P.1 Intro and Neuron Code
📐 ML Fundamentals
Neural Networks from Scratch - P.1 Intro and Neuron Code
sentdex Beginner 5y ago
Pytorch Quick Tip: Using a Learning Rate Scheduler
📐 ML Fundamentals
Pytorch Quick Tip: Using a Learning Rate Scheduler
Aladdin Persson Beginner 5y ago
Optimization - Lecture 3 - CS50's Introduction to Artificial Intelligence with Python 2020
📐 ML Fundamentals
Optimization - Lecture 3 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 5y ago
Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020
📐 ML Fundamentals
Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 5y ago
Pytorch Quick Tip: Weight Initialization
📐 ML Fundamentals
Pytorch Quick Tip: Weight Initialization
Aladdin Persson Beginner 5y ago
How to Transition Into Data Science: From Economics to Data Science
📐 ML Fundamentals
How to Transition Into Data Science: From Economics to Data Science
365 Data Science Beginner 5y ago
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
📐 ML Fundamentals
Feature Engineering-How to Transform Data to Better Fit The Gaussian Distribution-Data Science
Krish Naik Beginner 5y ago
Data Science Demystified - An Essential Introduction
📐 ML Fundamentals
Data Science Demystified - An Essential Introduction
What's AI by Louis-François Bouchard Beginner 5y ago
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 2/2 [Stat453, SS20]
📐 ML Fundamentals
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 2/2 [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]
📐 ML Fundamentals
Intro to Deep Learning -- L13 Intro to Convolutional Neural Networks (Part 2) 1/2 [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
Rachael Tatman — Conversational AI and Linguistics
📐 ML Fundamentals
Rachael Tatman — Conversational AI and Linguistics
Weights & Biases Beginner 5y ago
Why use GPU with Neural Networks?
📐 ML Fundamentals
Why use GPU with Neural Networks?
CodeEmporium Beginner 5y ago
Ask a Machine Learning Engineer Anything (live) | April 2020
📐 ML Fundamentals
Ask a Machine Learning Engineer Anything (live) | April 2020
Daniel Bourke Beginner 5y ago
How to learn coding for beginners | Learn coding for free | learn coding from scratch
📐 ML Fundamentals
How to learn coding for beginners | Learn coding for free | learn coding from scratch
codebasics Beginner 5y ago
How Do I Learn Complex Topics In Machine Learning And Deep Learning?
📐 ML Fundamentals
How Do I Learn Complex Topics In Machine Learning And Deep Learning?
Krish Naik 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
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
📐 ML Fundamentals
Applications of Machine Learning to COVID-19 Research with Isaac Godfried
Weights & Biases Beginner 6y ago
Accelerate models with TFLite Delegates (TF Dev Summit '20)
📐 ML Fundamentals
Accelerate models with TFLite Delegates (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Layer-wise learning for quantum neural networks (TF Dev Summit '20)
📐 ML Fundamentals
Layer-wise learning for quantum neural networks (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Secure and Private Deep Learning with PySyft - Democast #4
📐 ML Fundamentals
Secure and Private Deep Learning with PySyft - Democast #4
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
GOTO Episode 3
📐 ML Fundamentals
GOTO Episode 3
Saïd Business School, University of Oxford Beginner 6y ago
Python Tutorial : Machine Learning for Finance in Python
📐 ML Fundamentals
Python Tutorial : Machine Learning for Finance in Python
DataCamp Beginner 5y ago
R Tutorial : Network analysis in R: A tidy approach
📐 ML Fundamentals
R Tutorial : Network analysis in R: A tidy approach
DataCamp Beginner 5y ago
PyTorch Tutorial : Backpropagation by auto-differentiation
📐 ML Fundamentals
PyTorch Tutorial : Backpropagation by auto-differentiation
DataCamp Beginner 5y ago
PyTorch Tutorial : Introduction to PyTorch
📐 ML Fundamentals
PyTorch Tutorial : Introduction to PyTorch
DataCamp Beginner 5y ago
PyTorch Tutorial : Introduction to Neural Networks
📐 ML Fundamentals
PyTorch Tutorial : Introduction to Neural Networks
DataCamp Beginner 5y ago
PyTorch Tutorial : Forward propagation
📐 ML Fundamentals
PyTorch Tutorial : Forward propagation
DataCamp Beginner 5y ago
Python Tutorial : Writing Efficient Python Code
📐 ML Fundamentals
Python Tutorial : Writing Efficient Python Code
DataCamp Beginner 5y ago
Python Tutorial : Introducing XGBoost
📐 ML Fundamentals
Python Tutorial : Introducing XGBoost
DataCamp Beginner 5y ago
Python Tutorial: Class distribution
📐 ML Fundamentals
Python Tutorial: Class distribution
DataCamp Beginner 5y ago
Knowledge - Lecture 1 - CS50's Introduction to Artificial Intelligence with Python 2020
📐 ML Fundamentals
Knowledge - Lecture 1 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 5y ago
Learning - Lecture 4 - CS50's Introduction to Artificial Intelligence with Python 2020
📐 ML Fundamentals
Learning - Lecture 4 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 5y ago
Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020
📐 ML Fundamentals
Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020
CS50 Beginner 5y ago
Pytorch Data Augmentation using Torchvision
📐 ML Fundamentals
Pytorch Data Augmentation using Torchvision
Aladdin Persson Beginner 5y ago
Python Tutorial : When should I use XGBoost?
📐 ML Fundamentals
Python Tutorial : When should I use XGBoost?
DataCamp Beginner 5y ago
Pytorch Transfer Learning and Fine Tuning Tutorial
📐 ML Fundamentals
Pytorch Transfer Learning and Fine Tuning Tutorial
Aladdin Persson Beginner 5y ago
What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20
📐 ML Fundamentals
What is Transfer Learning ? | Deep Learning Basics Explained for Beginners 20
What's AI by Louis-François Bouchard Beginner 5y ago
Python Tutorial: Dive into Python
📐 ML Fundamentals
Python Tutorial: Dive into Python
DataCamp Beginner 6y ago
Python Tutorial: Data distributions and transformations
📐 ML Fundamentals
Python Tutorial: Data distributions and transformations
DataCamp Beginner 6y ago
Python Tutorial: Handling missing data
📐 ML Fundamentals
Python Tutorial: Handling missing data
DataCamp Beginner 6y ago
Linear Regression Gradient Descent From Scratch in Python
📐 ML Fundamentals
Linear Regression Gradient Descent From Scratch in Python
Aladdin Persson Beginner 6y ago
Derivation Linear Regression with Gradient Descent
📐 ML Fundamentals
Derivation Linear Regression with Gradient Descent
Aladdin Persson Beginner 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
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Build Basic Generative Adversarial Networks (GANs)
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Build Basic Generative Adversarial Networks (GANs)
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Classify Images of Cats and Dogs using Transfer Learning
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Self-paced
Classify Images of Cats and Dogs using Transfer Learning
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Data Visualization and Modeling in Python
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Self-paced
Data Visualization and Modeling in Python
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Machine Learning in the Enterprise - Français
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Machine Learning in the Enterprise - Français
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Breast Cancer Prediction Using Machine Learning
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Breast Cancer Prediction Using Machine Learning
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Probabilistic Graphical Models: A Compact Introduction
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Self-paced
Probabilistic Graphical Models: A Compact Introduction
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