Foundations

ML Fundamentals

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

13172
lessons
Skills in this topic
View full skill map →
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
Level: All Beginner Intermediate Advanced
Any Length Short (<5m) Medium (5-20m) Long (>20m)
Newest Popular Oldest
How many models in prod til I need a dedicated ML platform?
ML Fundamentals
How many models in prod til I need a dedicated ML platform?
MLOps.community Beginner 5y ago
More difficult transition for data scientists to become ML engineers
ML Fundamentals
More difficult transition for data scientists to become ML engineers
MLOps.community Beginner 5y ago
Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]
Sebastian Raschka Beginner 5y ago
Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning
ML Fundamentals
Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning
Krish Naik Beginner 5y ago
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
ML Fundamentals
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
Krish Naik Beginner 5y ago
Mutability in Python : Python Basics
ML Fundamentals
Mutability in Python : Python Basics
ritvikmath Beginner 5y ago
How do GPUs speed up Neural Network training?
ML Fundamentals
How do GPUs speed up Neural Network training?
CodeEmporium Advanced 5y ago
Backpropagation and the brain
ML Fundamentals
Backpropagation and the brain
Yannic Kilcher Beginner 5y ago
Pytorch DCGAN Tutorial (See description for updated video)
ML Fundamentals
Pytorch DCGAN Tutorial (See description for updated video)
Aladdin Persson Beginner 5y ago
Python Tutorial : Unsupervised Learning in Python
ML Fundamentals
Python Tutorial : Unsupervised Learning in Python
DataCamp Beginner 5y ago
Python Tutorial : Introduction to Linear Modeling in Python
ML Fundamentals
Python Tutorial : Introduction to Linear Modeling in Python
DataCamp Beginner 5y ago
Self Driving Cars and Pedestrians
ML Fundamentals
Self Driving Cars and Pedestrians
Data Skeptic Beginner 5y ago
This AI Learned to Summarize Videos 🎥
ML Fundamentals
This AI Learned to Summarize Videos 🎥
Two Minute Papers Beginner 5y ago
Shortcut Learning in Deep Neural Networks
ML Fundamentals
Shortcut Learning in Deep Neural Networks
Yannic Kilcher Intermediate 5y ago
Advanced Theory | Neural Style Transfer #4
ML Fundamentals
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany Advanced 5y ago
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
ML Fundamentals
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur Intermediate 5y ago
Pytorch TensorBoard Tutorial
ML Fundamentals
Pytorch TensorBoard Tutorial
Aladdin Persson Beginner 5y ago
Neural Networks from Scratch - P.2 Coding a Layer
ML Fundamentals
Neural Networks from Scratch - P.2 Coding a Layer
sentdex Beginner 5y ago
Neural Networks Simply Explained (Theory)
ML Fundamentals
Neural Networks Simply Explained (Theory)
NeuralNine Beginner 5y ago
Covid-19 and the Oxford Scenario Planning Approach
ML Fundamentals
Covid-19 and the Oxford Scenario Planning Approach
Saïd Business School, University of Oxford Intermediate 5y ago
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
ML Fundamentals
Look Mom, No Indices! Vector Calculus with the Fréchet Derivative by Charles Frye
Weights & Biases Beginner 5y ago
Sequence Models with Pujaa Rajan
ML Fundamentals
Sequence Models with Pujaa Rajan
Weights & Biases Beginner 5y ago
Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning
ML Fundamentals
Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning
MLOps.community Beginner 5y ago
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
ML Fundamentals
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
Krish Naik Beginner 5y ago
Python Tutorial: Unsupervised learning: basics
ML Fundamentals
Python Tutorial: Unsupervised learning: basics
DataCamp Beginner 5y ago
Python Tutorial : Fundamentals of AI in Python
ML Fundamentals
Python Tutorial : Fundamentals of AI in Python
DataCamp Beginner 5y ago
Python Tutorial : Three flavors of Machine Learning
ML Fundamentals
Python Tutorial : Three flavors of Machine Learning
DataCamp Beginner 5y ago
Python Tutorial: Reading, inspecting, & cleaning data from csv files
ML Fundamentals
Python Tutorial: Reading, inspecting, & cleaning data from csv files
DataCamp Beginner 5y ago
R Tutorial: A first taste of Bayes
ML Fundamentals
R Tutorial: A first taste of Bayes
DataCamp Beginner 5y ago
Python Tutorial : Constants and variables
ML Fundamentals
Python Tutorial : Constants and variables
DataCamp Beginner 5y ago
Python Tutorial : Advanced operations
ML Fundamentals
Python Tutorial : Advanced operations
DataCamp Beginner 5y ago
R Tutorial: Introduction to feature engineering in R
ML Fundamentals
R Tutorial: Introduction to feature engineering in R
DataCamp Beginner 5y ago
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
ML Fundamentals
Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science
Krish Naik Beginner 5y ago
Who has the highest standards in ML?
ML Fundamentals
Who has the highest standards in ML?
MLOps.community Intermediate 5y ago
Resume driven development in Machine learning & software engineering
ML Fundamentals
Resume driven development in Machine learning & software engineering
MLOps.community Beginner 5y ago
Swiss Cheese model in Machine Learning
ML Fundamentals
Swiss Cheese model in Machine Learning
MLOps.community Beginner 5y ago
Survivorship Bias in machine learning tutorials
ML Fundamentals
Survivorship Bias in machine learning tutorials
MLOps.community Intermediate 5y ago
Learning from real life Machine Learning failures
ML Fundamentals
Learning from real life Machine Learning failures
MLOps.community Beginner 5y ago
Humans in the Loop are a defining factor in Machine Learning
ML Fundamentals
Humans in the Loop are a defining factor in Machine Learning
MLOps.community Intermediate 5y ago
Sharing My Experience- How Teaching Has Improved My Data Science Skills
ML Fundamentals
Sharing My Experience- How Teaching Has Improved My Data Science Skills
Krish Naik Intermediate 5y ago
Current State Of Machine Learning
ML Fundamentals
Current State Of Machine Learning
MLOps.community Beginner 5y ago
Specific challenges in Machine Learning
ML Fundamentals
Specific challenges in Machine Learning
MLOps.community Intermediate 5y ago
MLOps: Airflow Pros and Cons
ML Fundamentals
MLOps: Airflow Pros and Cons
MLOps.community Intermediate 5y ago
Scala Tutorial: A scalable language
ML Fundamentals
Scala Tutorial: A scalable language
DataCamp Beginner 5y ago
R Tutorial: Machine Learning with Tree-Based Models | Intro
ML Fundamentals
R Tutorial: Machine Learning with Tree-Based Models | Intro
DataCamp Beginner 5y ago
R Tutorial: Evaluating classification model performance
ML Fundamentals
R Tutorial: Evaluating classification model performance
DataCamp Beginner 5y ago
R Tutorial: Introduction to classification trees
ML Fundamentals
R Tutorial: Introduction to classification trees
DataCamp Beginner 5y ago
MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio
ML Fundamentals
MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio
MLOps.community Intermediate 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Mask Detector with Python & TensorFlow: Build & Deploy
📚 Coursera Course ↗
Self-paced
Mask Detector with Python & TensorFlow: Build & Deploy
Opens on Coursera ↗
Develop Clustering Models with Azure ML Designer
📚 Coursera Course ↗
Self-paced
Develop Clustering Models with Azure ML Designer
Opens on Coursera ↗
Machine Learning for Computer Vision
📚 Coursera Course ↗
Self-paced
Machine Learning for Computer Vision
Opens on Coursera ↗
Deploy & Optimize ML Services Confidently
📚 Coursera Course ↗
Self-paced
Deploy & Optimize ML Services Confidently
Opens on Coursera ↗
Optimize Deep Learning: Tune PyTorch Models
📚 Coursera Course ↗
Self-paced
Optimize Deep Learning: Tune PyTorch Models
Opens on Coursera ↗
Chatbots with Keras & NLP: Build & Evaluate
📚 Coursera Course ↗
Self-paced
Chatbots with Keras & NLP: Build & Evaluate
Opens on Coursera ↗