Foundations

ML Fundamentals

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

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lessons
Skills in this topic
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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
How Traceroute Works (Building a Movie Scene 'Trace' Map) - Computerphile
ML Fundamentals
How Traceroute Works (Building a Movie Scene 'Trace' Map) - Computerphile
Computerphile Intermediate 5y ago
How To Implement Image Classification Using SVM In Convolution Neural Network
ML Fundamentals
How To Implement Image Classification Using SVM In Convolution Neural Network
Krish Naik Intermediate 5y ago
L1.6 About the Practical Aspects and Tools Used in This Course
ML Fundamentals
L1.6 About the Practical Aspects and Tools Used in This Course
Sebastian Raschka Beginner 5y ago
L1.5 Necessary Machine Learning Notation and Jargon
ML Fundamentals
L1.5 Necessary Machine Learning Notation and Jargon
Sebastian Raschka Beginner 5y ago
PyTorch Quick Tip: Mixed Precision Training (FP16)
ML Fundamentals
PyTorch Quick Tip: Mixed Precision Training (FP16)
Aladdin Persson Beginner 5y ago
Career Advice Office Hours - Job Applications | Coursera
ML Fundamentals
Career Advice Office Hours - Job Applications | Coursera
Coursera Intermediate 5y ago
Practical MLOps // Noah Gift // MLOps Coffee Sessions #27
ML Fundamentals
Practical MLOps // Noah Gift // MLOps Coffee Sessions #27
MLOps.community Beginner 5y ago
Automated Videoing Assistant - Made with TensorFlow.js
ML Fundamentals
Automated Videoing Assistant - Made with TensorFlow.js
TensorFlow Beginner 5y ago
Albumentations Tutorial for Data Augmentation (Pytorch focused)
ML Fundamentals
Albumentations Tutorial for Data Augmentation (Pytorch focused)
Aladdin Persson Beginner 5y ago
2021 Microsoft Research Ada Lovelace Fellow: Demba Komma
ML Fundamentals
2021 Microsoft Research Ada Lovelace Fellow: Demba Komma
Microsoft Research Beginner 5y ago
Call for Reproducing Papers
ML Fundamentals
Call for Reproducing Papers
Weights & Biases Advanced 5y ago
Metropolis - Hastings : Data Science Concepts
ML Fundamentals
Metropolis - Hastings : Data Science Concepts
ritvikmath Beginner 5y ago
How to serve any machine learning or deep learning model using FastAPI
ML Fundamentals
How to serve any machine learning or deep learning model using FastAPI
Abhishek Thakur Beginner 5y ago
Build your own neural network, Exercise 9
ML Fundamentals
Build your own neural network, Exercise 9
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 8
ML Fundamentals
Build your own neural network, Exercise 8
Brandon Rohrer Advanced 5y ago
Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy
ML Fundamentals
Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy
sentdex Advanced 5y ago
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
ML Fundamentals
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
Patrick Loeber Beginner 5y ago
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
ML Fundamentals
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Life Skills 101 : Making Life Decisions Using Break-Even Analysis!
ML Fundamentals
Life Skills 101 : Making Life Decisions Using Break-Even Analysis!
ritvikmath Beginner 5y ago
L1.4 The Supervised Learning Workflow
ML Fundamentals
L1.4 The Supervised Learning Workflow
Sebastian Raschka Beginner 5y ago
L1.3.4 Broad Categories of ML Part 4: Special Cases of Supervised Learning
ML Fundamentals
L1.3.4 Broad Categories of ML Part 4: Special Cases of Supervised Learning
Sebastian Raschka Beginner 5y ago
L1.3.3 Broad Categories of ML Part 3: Reinforcement Learning
ML Fundamentals
L1.3.3 Broad Categories of ML Part 3: Reinforcement Learning
Sebastian Raschka Beginner 5y ago
L1.3.2 Broad Categories of ML Part 2: Unsupervised Learning
ML Fundamentals
L1.3.2 Broad Categories of ML Part 2: Unsupervised Learning
Sebastian Raschka Beginner 5y ago
L1.3.1 Broad Categories of ML Part 1: Supervised Learning
ML Fundamentals
L1.3.1 Broad Categories of ML Part 1: Supervised Learning
Sebastian Raschka Beginner 5y ago
L1.2 What is Machine Learning?
ML Fundamentals
L1.2 What is Machine Learning?
Sebastian Raschka Beginner 5y ago
L1.1.2 Course Overview Part 2: Organization (Optional)
ML Fundamentals
L1.1.2 Course Overview Part 2: Organization (Optional)
Sebastian Raschka Beginner 5y ago
L1.1.1 Course Overview Part 1: Motivation and Topics
ML Fundamentals
L1.1.1 Course Overview Part 1: Motivation and Topics
Sebastian Raschka Beginner 5y ago
L1.0 Intro to Deep Learning, Course Introduction
ML Fundamentals
L1.0 Intro to Deep Learning, Course Introduction
Sebastian Raschka Beginner 5y ago
Build your own neural network, Exercise 7
ML Fundamentals
Build your own neural network, Exercise 7
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 6
ML Fundamentals
Build your own neural network, Exercise 6
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 5
ML Fundamentals
Build your own neural network, Exercise 5
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 4
ML Fundamentals
Build your own neural network, Exercise 4
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 3
ML Fundamentals
Build your own neural network, Exercise 3
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 2
ML Fundamentals
Build your own neural network, Exercise 2
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 1
ML Fundamentals
Build your own neural network, Exercise 1
Brandon Rohrer Advanced 5y ago
Intro to Python chapter 2.5, Building a timer
ML Fundamentals
Intro to Python chapter 2.5, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.4, Building a timer
ML Fundamentals
Intro to Python chapter 2.4, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.3, Building a timer
ML Fundamentals
Intro to Python chapter 2.3, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.2, Building a timer
ML Fundamentals
Intro to Python chapter 2.2, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.1, Building a timer
ML Fundamentals
Intro to Python chapter 2.1, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.0, Building a timer
ML Fundamentals
Intro to Python chapter 2.0, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.5, Building a clock
ML Fundamentals
Intro to Python chapter 1.5, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.4, Building a clock
ML Fundamentals
Intro to Python chapter 1.4, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.3, Building a clock
ML Fundamentals
Intro to Python chapter 1.3, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.2, Building a clock
ML Fundamentals
Intro to Python chapter 1.2, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.1, Building a clock
ML Fundamentals
Intro to Python chapter 1.1, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.0, Building a clock
ML Fundamentals
Intro to Python chapter 1.0, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python, Getting started
ML Fundamentals
Intro to Python, Getting started
Brandon Rohrer Beginner 5y ago
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