✕ Clear filters
7,884 lessons

📐 ML Fundamentals

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

All ▶ YouTube 185,110📚 Coursera 16,537
When Data Science Goes Wrong
ML Fundamentals ⚡ AI Lesson
When Data Science Goes Wrong
Ken Jee Beginner 6y ago
Python Tutorial: Introduction to Conversational Software
ML Fundamentals
Python Tutorial: Introduction to Conversational Software
DataCamp Beginner 6y ago
Python Tutorial: Python for MATLAB Users | Intro
ML Fundamentals
Python Tutorial: Python for MATLAB Users | Intro
DataCamp Beginner 6y ago
Utilize This Time For Learning Skills And Improving Productivity- Saturday Motivation
ML Fundamentals
Utilize This Time For Learning Skills And Improving Productivity- Saturday Motivation
Krish Naik Beginner 6y ago
Friday Live Q&A- Data Science
ML Fundamentals
Friday Live Q&A- Data Science
Krish Naik Beginner 6y ago
Object Detection Clearly Explained for Everyone
ML Fundamentals
Object Detection Clearly Explained for Everyone
What's AI by Louis-François Bouchard Beginner 6y ago
UNT Bachelor of Applied Arts and Sciences (BAAS) Program Webinar
ML Fundamentals
UNT Bachelor of Applied Arts and Sciences (BAAS) Program Webinar
Coursera Beginner 6y ago
Intro to Deep Learning -- L10 Input and Weight Normalization Part 2/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L10 Input and Weight Normalization Part 2/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
Geometry-Aware Neural Rendering with Josh Tobin - #360
ML Fundamentals ⚡ AI Lesson
Geometry-Aware Neural Rendering with Josh Tobin - #360
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Intro to Deep Learning -- L10 Input and Weight Normalization Part 1/2 [Stat453, SS20]
ML Fundamentals
Intro to Deep Learning -- L10 Input and Weight Normalization Part 1/2 [Stat453, SS20]
Sebastian Raschka Beginner 6y ago
34,835 training images downloaded | Replicating Airbnb's Amenity Detection Part 6
ML Fundamentals
34,835 training images downloaded | Replicating Airbnb's Amenity Detection Part 6
Daniel Bourke Beginner 6y ago
What is Image Segmentation ? | Computer Vision & ML Techniques Explained for Beginners 17
ML Fundamentals
What is Image Segmentation ? | Computer Vision & ML Techniques Explained for Beginners 17
What's AI by Louis-François Bouchard Beginner 6y ago
MLOps lifecycle description
ML Fundamentals
MLOps lifecycle description
MLOps.community Beginner 6y ago
Ultimate FREE Study Guide for Machine Learning and Deep Learning
ML Fundamentals
Ultimate FREE Study Guide for Machine Learning and Deep Learning
Patrick Loeber Beginner 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
Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Jacquard: Embedding ML seamlessly into everyday objects (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Python Tutorial: Timeseries kinds and applications
ML Fundamentals
Python Tutorial: Timeseries kinds and applications
DataCamp Beginner 6y ago
Python Tutorial: Machine learning basics
ML Fundamentals
Python Tutorial: Machine learning basics
DataCamp Beginner 6y ago
Python Tutorial: Machine learning and time series data
ML Fundamentals
Python Tutorial: Machine learning and time series data
DataCamp Beginner 6y ago
R Tutorial: Getting started with caret
ML Fundamentals ⚡ AI Lesson
R Tutorial: Getting started with caret
DataCamp Beginner 6y ago
R Tutorial : Overview of the Measure Development Process
ML Fundamentals ⚡ AI Lesson
R Tutorial : Overview of the Measure Development Process
DataCamp Beginner 6y ago
I have Reordered My Complete Machine Learning And Deep Learning Playlist- Complete it in 21 days
ML Fundamentals
I have Reordered My Complete Machine Learning And Deep Learning Playlist- Complete it in 21 days
Krish Naik Beginner 6y ago
Interview Questions On Statistics - Data Science Interviews
ML Fundamentals
Interview Questions On Statistics - Data Science Interviews
Krish Naik Beginner 6y ago
R Tutorial : Pitfalls of Trading System Development
ML Fundamentals
R Tutorial : Pitfalls of Trading System Development
DataCamp Beginner 6y ago
Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition
ML Fundamentals
Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition
Krish Naik Beginner 6y ago
PySpark Tutorial : Why learn how to build recommendation engines?
ML Fundamentals ⚡ AI Lesson
PySpark Tutorial : Why learn how to build recommendation engines?
DataCamp Beginner 6y ago
Python Tutorial : Deeper networks
ML Fundamentals ⚡ AI Lesson
Python Tutorial : Deeper networks
DataCamp Beginner 6y ago
Python Tutorial : Activation functions
ML Fundamentals
Python Tutorial : Activation functions
DataCamp Beginner 6y ago
Python Tutorial : Forward propagation
ML Fundamentals ⚡ AI Lesson
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 ⚡ AI Lesson
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
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
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
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 ⚡ AI Lesson
Intro to Deep Learning -- L06.5 Cloud Computing [Stat453, SS20]
Sebastian Raschka Beginner 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
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 ⚡ AI Lesson
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 ⚡ AI Lesson
R Tutorial: Supervised vs. Unsupervised
DataCamp Beginner 6y ago
R Tutorial: Classification, Regression, Clustering
ML Fundamentals ⚡ AI Lesson
R Tutorial: Classification, Regression, Clustering
DataCamp Beginner 6y ago
What is Social Distancing?
ML Fundamentals
What is Social Distancing?
Krish Naik Beginner 6y ago
Python Tutorial: Dimensionality Reduction in Python | Intro
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Dimensionality Reduction in Python | Intro
DataCamp Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Generative Deep Learning with TensorFlow
📚 Coursera Course ↗
Self-paced
Generative Deep Learning with TensorFlow
Opens on Coursera ↗
Naive Bayes 101: Resume Selection with Machine Learning
📚 Coursera Course ↗
Self-paced
Naive Bayes 101: Resume Selection with Machine Learning
Opens on Coursera ↗
Introduction to NLP and Syntactic Processing
📚 Coursera Course ↗
Self-paced
Introduction to NLP and Syntactic Processing
Opens on Coursera ↗
Statistical Learning for Engineering Part 2
📚 Coursera Course ↗
Self-paced
Statistical Learning for Engineering Part 2
Opens on Coursera ↗
Practical Predictive Analytics: Models and Methods
📚 Coursera Course ↗
Self-paced
Practical Predictive Analytics: Models and Methods
Opens on Coursera ↗
Neural Networks and Deep Learning
📚 Coursera Course ↗
Self-paced
Neural Networks and Deep Learning
Opens on Coursera ↗