Foundations

ML Fundamentals

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

13171
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
Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation
ML Fundamentals
Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation
Krish Naik Intermediate 6y ago
PySpark Tutorial : Why learn how to build recommendation engines?
ML Fundamentals
PySpark Tutorial : Why learn how to build recommendation engines?
DataCamp Beginner 6y ago
Python Tutorial : Deeper networks
ML Fundamentals
Python Tutorial : Deeper networks
DataCamp Beginner 6y ago
Time Complexity Of Machine Learning Models- Interview Questions- Data Science
ML Fundamentals
Time Complexity Of Machine Learning Models- Interview Questions- Data Science
Krish Naik Beginner 6y ago
Intro to Deep Learning -- L09 Regularization [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L09 Regularization [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Intro to Deep Learning -- L06.5 Cloud Computing [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L06.5 Cloud Computing [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
First hour with a Kaggle Challenge
ML Fundamentals
First hour with a Kaggle Challenge
sentdex Advanced 6y ago
Chatbots for Beginners: A Comprehensive Intro to Machine Learning Applications
ML Fundamentals
Chatbots for Beginners: A Comprehensive Intro to Machine Learning Applications
What's AI by Louis-François Bouchard Beginner 6y ago
Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)
ML Fundamentals
Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)
TensorFlow Advanced 6y ago
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
ML Fundamentals
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Weights & Biases Intermediate 6y ago
MLOps Manifesto with Luke Marsden from Dotscience
ML Fundamentals
MLOps Manifesto with Luke Marsden from Dotscience
MLOps.community Intermediate 6y ago
Remote Collaboration as a Data Scientist
ML Fundamentals
Remote Collaboration as a Data Scientist
MLOps.community Intermediate 6y ago
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
ML Fundamentals
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur Beginner 6y ago
ACF & PACF Code Example : Time Series Talk
ML Fundamentals
ACF & PACF Code Example : Time Series Talk
ritvikmath Intermediate 6y ago
Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)
ML Fundamentals
Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Understanding Computer Vision: An Entry-Level Introduction to ML-Driven CV
ML Fundamentals
Understanding Computer Vision: An Entry-Level Introduction to ML-Driven CV
What's AI by Louis-François Bouchard Beginner 6y ago
COVID-19 Response | Free Data Science Courses
ML Fundamentals
COVID-19 Response | Free Data Science Courses
365 Data Science Beginner 6y ago
How To Get Stock Price Data with Python : Time Series Talk
ML Fundamentals
How To Get Stock Price Data with Python : Time Series Talk
ritvikmath Beginner 6y ago
Why My Computer Wants to Forget (How Dynamic Memory Works) - Computerphile
ML Fundamentals
Why My Computer Wants to Forget (How Dynamic Memory Works) - Computerphile
Computerphile Intermediate 6y ago
Google Teachable Machine Learning Build No Code AI solution
ML Fundamentals
Google Teachable Machine Learning Build No Code AI solution
1littlecoder Beginner 6y ago
Who is the Sentdex Audience?
ML Fundamentals
Who is the Sentdex Audience?
sentdex Advanced 6y ago
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
ML Fundamentals
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
MIT OpenCourseWare Beginner 6y ago
OUTFIGHT: Leveraging Automation & Machine Learning
ML Fundamentals
OUTFIGHT: Leveraging Automation & Machine Learning
SANS Institute Beginner 6y ago
Python Tutorial : Activation functions
ML Fundamentals
Python Tutorial : Activation functions
DataCamp Beginner 6y ago
Python Tutorial : Forward propagation
ML Fundamentals
Python Tutorial : Forward propagation
DataCamp Beginner 6y ago
Python Tutorial : Introduction to Deep Learning in Python
ML Fundamentals
Python Tutorial : Introduction to Deep Learning in Python
DataCamp Beginner 6y ago
Python Tutorial : How do we measure success?
ML Fundamentals
Python Tutorial : How do we measure success?
DataCamp Beginner 6y ago
Python Tutorial : Looking at the datatypes
ML Fundamentals
Python Tutorial : Looking at the datatypes
DataCamp Beginner 6y ago
Python Tutorial: What is Keras?
ML Fundamentals
Python Tutorial: What is Keras?
DataCamp Beginner 6y ago
Python Tutorial: Your first neural network
ML Fundamentals
Python Tutorial: Your first neural network
DataCamp Beginner 6y ago
Python Tutorial: Surviving a meteor strike
ML Fundamentals
Python Tutorial: Surviving a meteor strike
DataCamp Beginner 6y ago
Saturday Live Q&A
ML Fundamentals
Saturday Live Q&A
Krish Naik Intermediate 6y ago
Python Tutorial: Introducing Hyperparameters
ML Fundamentals
Python Tutorial: Introducing Hyperparameters
DataCamp Beginner 6y ago
Python Tutorial: Keras input and dense layers
ML Fundamentals
Python Tutorial: Keras input and dense layers
DataCamp Beginner 6y ago
Python Tutorial: Keras models
ML Fundamentals
Python Tutorial: Keras models
DataCamp Beginner 6y ago
Python Tutorial: Fit and evaluate a model
ML Fundamentals
Python Tutorial: Fit and evaluate a model
DataCamp Beginner 6y ago
R Tutorial: Machine Learning: What's the challenge?
ML Fundamentals
R Tutorial: Machine Learning: What's the challenge?
DataCamp Beginner 6y ago
R Tutorial: Supervised vs. Unsupervised
ML Fundamentals
R Tutorial: Supervised vs. Unsupervised
DataCamp Beginner 6y ago
R Tutorial: Classification, Regression, Clustering
ML Fundamentals
R Tutorial: Classification, Regression, Clustering
DataCamp Beginner 6y ago
What is Social Distancing?
ML Fundamentals
What is Social Distancing?
Krish Naik Beginner 6y ago
All About Membership In Krish's Channel
ML Fundamentals
All About Membership In Krish's Channel
Krish Naik Intermediate 6y ago
Python Tutorial: Dimensionality Reduction in Python | Intro
ML Fundamentals
Python Tutorial: Dimensionality Reduction in Python | Intro
DataCamp Beginner 6y ago
How To Follow My Channel Playlist To Learn Data Science Efficiently
ML Fundamentals
How To Follow My Channel Playlist To Learn Data Science Efficiently
Krish Naik Beginner 6y ago
Our 1st MLOps Meetup // Luke Marsden // MLOps Meetup #1
ML Fundamentals
Our 1st MLOps Meetup // Luke Marsden // MLOps Meetup #1
MLOps.community Beginner 6y ago
MLIR: Accelerating TF with compilers (TF Dev Summit '20)
ML Fundamentals
MLIR: Accelerating TF with compilers (TF Dev Summit '20)
TensorFlow Beginner 6y ago
TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)
ML Fundamentals
TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Python Tutorial: Understanding sequential models
ML Fundamentals
Python Tutorial: Understanding sequential models
DataCamp Beginner 6y ago
Python Tutorial: Introduction to machine translation
ML Fundamentals
Python Tutorial: Introduction to machine translation
DataCamp Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Geometric Algorithms
📚 Coursera Course ↗
Self-paced
Geometric Algorithms
Opens on Coursera ↗
Learning TensorFlow: the Hello World of Machine Learning
📚 Coursera Course ↗
Self-paced
Learning TensorFlow: the Hello World of Machine Learning
Opens on Coursera ↗
Custom and Distributed Training with TensorFlow
📚 Coursera Course ↗
Self-paced
Custom and Distributed Training with TensorFlow
Opens on Coursera ↗
Build Basic Generative Adversarial Networks (GANs)
📚 Coursera Course ↗
Self-paced
Build Basic Generative Adversarial Networks (GANs)
Opens on Coursera ↗
Identify Damaged Car Parts with Vertex AutoML Vision
📚 Coursera Course ↗
Self-paced
Identify Damaged Car Parts with Vertex AutoML Vision
Opens on Coursera ↗
Machine Learning Using SAS Viya
📚 Coursera Course ↗
Self-paced
Machine Learning Using SAS Viya
Opens on Coursera ↗