Foundations

ML Fundamentals

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

8500
lessons
L9.2 Nonlinear Activation Functions
📐 ML Fundamentals
L9.2 Nonlinear Activation Functions
Sebastian Raschka Beginner 5y ago
L9.1 Multilayer Perceptron Architecture
📐 ML Fundamentals
L9.1 Multilayer Perceptron Architecture
Sebastian Raschka Beginner 5y ago
Petroleum Engineer To Data Scientist
📐 ML Fundamentals
Petroleum Engineer To Data Scientist
codebasics Beginner 5y ago
Outliers : Data Science Basics
📐 ML Fundamentals
Outliers : Data Science Basics
ritvikmath Beginner 5y ago
Autoencoders in Python with Tensorflow/Keras
📐 ML Fundamentals
Autoencoders in Python with Tensorflow/Keras
sentdex Beginner 5y ago
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
📐 ML Fundamentals
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
StatQuest with Josh Starmer Beginner 5y ago
Neural Networks Part 6: Cross Entropy
📐 ML Fundamentals
Neural Networks Part 6: Cross Entropy
StatQuest with Josh Starmer Beginner 5y ago
AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models
📐 ML Fundamentals
AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models
Abhishek Thakur Beginner 5y ago
Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)
📐 ML Fundamentals
Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)
📐 ML Fundamentals
Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)
TensorFlow Beginner 5y ago
Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)
📐 ML Fundamentals
Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)
TensorFlow Beginner 5y ago
Intro to Git and GitHub : Data Science Code
📐 ML Fundamentals
Intro to Git and GitHub : Data Science Code
ritvikmath Beginner 5y ago
NEW TensorFlow Deep Learning Course Release Celebration/QA
📐 ML Fundamentals
NEW TensorFlow Deep Learning Course Release Celebration/QA
Daniel Bourke Beginner 5y ago
Weights and Biases Product Overview
📐 ML Fundamentals
Weights and Biases Product Overview
Weights & Biases Beginner 5y ago
Machine learning for drug discovery with insitro's Daphne Koller
📐 ML Fundamentals
Machine learning for drug discovery with insitro's Daphne Koller
Weights & Biases Beginner 5y ago
5 FREE Machine Learning and Data Science Datasets for Your Next Experiment
📐 ML Fundamentals
5 FREE Machine Learning and Data Science Datasets for Your Next Experiment
Nicholas Renotte Beginner 5y ago
A Brief Intro About My Channel If You Are New- Data Science #shorts
📐 ML Fundamentals
A Brief Intro About My Channel If You Are New- Data Science #shorts
Krish Naik Beginner 5y ago
Determined AI Example - CIFAR-10 Hyperparameter Search!
📐 ML Fundamentals
Determined AI Example - CIFAR-10 Hyperparameter Search!
Connor Shorten Beginner 5y ago
Deep Learning With PyTorch - Full Course
📐 ML Fundamentals
Deep Learning With PyTorch - Full Course
Patrick Loeber Beginner 5y ago
How k-nearest neighbors works
📐 ML Fundamentals
How k-nearest neighbors works
Brandon Rohrer Beginner 5y ago
Quick Fast Python EDA with Pandas Profiling - Kaggle Dataset Hands-on
📐 ML Fundamentals
Quick Fast Python EDA with Pandas Profiling - Kaggle Dataset Hands-on
1littlecoder Beginner 5y ago
MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30
📐 ML Fundamentals
MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30
MLOps.community Beginner 5y ago
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
📐 ML Fundamentals
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Shaw Talebi Beginner 5y ago
Rendering Volumes and Implicit Shapes in PyTorch3D
📐 ML Fundamentals
Rendering Volumes and Implicit Shapes in PyTorch3D
PyTorch Beginner 5y ago
How would a Data Scientist analyze Customer Churn?
📐 ML Fundamentals
How would a Data Scientist analyze Customer Churn?
CodeEmporium Beginner 5y ago
GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰
📐 ML Fundamentals
GOOGLE FIRES AI ETHICS TEAM 📰 DEEP NEWS 📰
Aladdin Persson Beginner 5y ago
Is Machine Learning by Andrew Ng on Coursera worth it in 2021? [Course Review]
📐 ML Fundamentals
Is Machine Learning by Andrew Ng on Coursera worth it in 2021? [Course Review]
Aladdin Persson Beginner 5y ago
'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52
📐 ML Fundamentals
'Git for Data' - Who, What, How and Why? // Luke Feeney & Gavin Mendel-Gleason // MLOps Meetup #52
MLOps.community Beginner 5y ago
Stochastic Gradient Descent and Deploying Your Python Scripts on the Web | Real Python Podcast #48
📐 ML Fundamentals
Stochastic Gradient Descent and Deploying Your Python Scripts on the Web | Real Python Podcast #48
Real Python Beginner 5y ago
Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
📐 ML Fundamentals
Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
Lex Fridman Beginner 5y ago
L9.0 Multilayer Perceptrons -- Lecture Overview
📐 ML Fundamentals
L9.0 Multilayer Perceptrons -- Lecture Overview
Sebastian Raschka Beginner 5y ago
Nhập môn Thị giác máy tính bằng công nghệ học máy (Machine Learning: Zero to Hero, phần 2)
📐 ML Fundamentals
Nhập môn Thị giác máy tính bằng công nghệ học máy (Machine Learning: Zero to Hero, phần 2)
TensorFlow Beginner 5y ago
Giới thiệu về công nghệ học máy (Machine Learning: Zero to Hero, phần 1)
📐 ML Fundamentals
Giới thiệu về công nghệ học máy (Machine Learning: Zero to Hero, phần 1)
TensorFlow Beginner 5y ago
L8.9 Softmax Regression -- Code Example Using PyTorch
📐 ML Fundamentals
L8.9 Softmax Regression -- Code Example Using PyTorch
Sebastian Raschka Beginner 5y ago
L8.8 Softmax Regression Derivatives for Gradient Descent
📐 ML Fundamentals
L8.8 Softmax Regression Derivatives for Gradient Descent
Sebastian Raschka Beginner 5y ago
L8.7.2 OneHot Encoding and Multi-category Cross Entropy -- Code Example
📐 ML Fundamentals
L8.7.2 OneHot Encoding and Multi-category Cross Entropy -- Code Example
Sebastian Raschka Beginner 5y ago
L8.7.1 OneHot Encoding and Multi-category Cross Entropy
📐 ML Fundamentals
L8.7.1 OneHot Encoding and Multi-category Cross Entropy
Sebastian Raschka Beginner 5y ago
L8.6 Multinomial Logistic Regression / Softmax Regression
📐 ML Fundamentals
L8.6 Multinomial Logistic Regression / Softmax Regression
Sebastian Raschka Beginner 5y ago
L8.5 Logistic Regression in PyTorch -- Code Example
📐 ML Fundamentals
L8.5 Logistic Regression in PyTorch -- Code Example
Sebastian Raschka Beginner 5y ago
L8.4 Logits and Cross Entropy
📐 ML Fundamentals
L8.4 Logits and Cross Entropy
Sebastian Raschka Beginner 5y ago
L8.3 Logistic Regression Loss Derivative and Training
📐 ML Fundamentals
L8.3 Logistic Regression Loss Derivative and Training
Sebastian Raschka Beginner 5y ago
L8.2 Logistic Regression Loss Function
📐 ML Fundamentals
L8.2 Logistic Regression Loss Function
Sebastian Raschka Beginner 5y ago
L8.1 Logistic Regression as a Single-Layer Neural Network
📐 ML Fundamentals
L8.1 Logistic Regression as a Single-Layer Neural Network
Sebastian Raschka Beginner 5y ago
L8.0 Logistic Regression -- Lecture Overview
📐 ML Fundamentals
L8.0 Logistic Regression -- Lecture Overview
Sebastian Raschka Beginner 5y ago
SVM Dual : Data Science Concepts
📐 ML Fundamentals
SVM Dual : Data Science Concepts
ritvikmath Beginner 5y ago
Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)
📐 ML Fundamentals
Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)
codebasics Beginner 5y ago
Deep Learning News #4, Feb 20 2021
📐 ML Fundamentals
Deep Learning News #4, Feb 20 2021
Sebastian Raschka Beginner 5y ago
Daphne Koller — Digital Biology and the Next Epoch of Science
📐 ML Fundamentals
Daphne Koller — Digital Biology and the Next Epoch of Science
Weights & Biases Beginner 5y ago
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PyTorch: Techniques and Ecosystem Tools
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PyTorch: Techniques and Ecosystem Tools
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Combinatorics and Probability
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Combinatorics and Probability
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NVIDIA: Fundamentals of Deep Learning
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NVIDIA: Fundamentals of Deep Learning
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Deep Learning - Computer Vision for Beginners Using PyTorch
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Deep Learning - Computer Vision for Beginners Using PyTorch
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Advanced Machine Learning and Deep Learning
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Advanced Machine Learning and Deep Learning
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Salesforce Certified AI Associate Certification
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Salesforce Certified AI Associate Certification
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