Foundations

ML Fundamentals

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

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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
2.3 K-nearest neighbors (L02: Nearest Neighbor Methods)
ML Fundamentals
2.3 K-nearest neighbors (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
2.2 Nearest neighbor decision boundary (L02: Nearest Neighbor Methods)
ML Fundamentals
2.2 Nearest neighbor decision boundary (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
MLOps Meetup #32 // Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Model Zoo
ML Fundamentals
MLOps Meetup #32 // Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Model Zoo
MLOps.community Beginner 5y ago
TensorFlow Tutorial 17 - Complete TensorBoard Guide
ML Fundamentals
TensorFlow Tutorial 17 - Complete TensorBoard Guide
Aladdin Persson Beginner 5y ago
Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
ML Fundamentals
Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
codebasics Beginner 5y ago
Time Series Talk : Augmented Dickey Fuller Test + Code
ML Fundamentals
Time Series Talk : Augmented Dickey Fuller Test + Code
ritvikmath Advanced 5y ago
Why Domain Knowledge Is Important In Data Science?
ML Fundamentals
Why Domain Knowledge Is Important In Data Science?
Krish Naik Intermediate 5y ago
What is AutoML? A conversation with Gnosis Data Analysis
ML Fundamentals
What is AutoML? A conversation with Gnosis Data Analysis
StatQuest with Josh Starmer Beginner 5y ago
How To Train Deep Learning Models In Google Colab- Must For Everyone
ML Fundamentals
How To Train Deep Learning Models In Google Colab- Must For Everyone
Krish Naik Beginner 5y ago
Real Time Pose Estimation with Tensorflow.Js and Javascript
ML Fundamentals
Real Time Pose Estimation with Tensorflow.Js and Javascript
Nicholas Renotte Intermediate 5y ago
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
ML Fundamentals
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Abhishek Thakur Beginner 5y ago
How to learn PyTorch? (3 easy steps) | 2021
ML Fundamentals
How to learn PyTorch? (3 easy steps) | 2021
Aleksa Gordić - The AI Epiphany Beginner 5y ago
Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3
ML Fundamentals
Dive into Deep Learning (Study Group): Linear Neural Networks | Session 3
Elvis Saravia Beginner 5y ago
Calculating Vector Norms - Linear Algebra for Data Science - IV
ML Fundamentals
Calculating Vector Norms - Linear Algebra for Data Science - IV
Harshit Tyagi Beginner 5y ago
How important is programming and machine learning for a Data Analyst?
ML Fundamentals
How important is programming and machine learning for a Data Analyst?
codebasics Beginner 5y ago
Hamming codes part 2: The one-line implementation
ML Fundamentals
Hamming codes part 2: The one-line implementation
3Blue1Brown Intermediate 5y ago
But what are Hamming codes? The origin of error correction
ML Fundamentals
But what are Hamming codes? The origin of error correction
3Blue1Brown Beginner 5y ago
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)
ML Fundamentals
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)
Microsoft Research Advanced 5y ago
Machine Learning Crash Course With ML.NET
ML Fundamentals
Machine Learning Crash Course With ML.NET
Traversy Media Beginner 5y ago
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
ML Fundamentals
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
Microsoft Research Advanced 5y ago
TensorFlow Quantum (Quantum Summer Symposium 2020)
ML Fundamentals
TensorFlow Quantum (Quantum Summer Symposium 2020)
TensorFlow Beginner 5y ago
VAR Model in Python : Time Series Talk
ML Fundamentals
VAR Model in Python : Time Series Talk
ritvikmath Intermediate 5y ago
PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets
ML Fundamentals
PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets
Patrick Loeber Beginner 5y ago
MobileNet Image Classification with TensorFlow's Keras API
ML Fundamentals
MobileNet Image Classification with TensorFlow's Keras API
deeplizard Beginner 5y ago
Developing the next generation of UK Further Education leaders
ML Fundamentals
Developing the next generation of UK Further Education leaders
Saïd Business School, University of Oxford Advanced 5y ago
Suzana Ilić — Cultivating Machine Learning Communities
ML Fundamentals
Suzana Ilić — Cultivating Machine Learning Communities
Weights & Biases Intermediate 5y ago
March 28, 2019 - MCIT Online Admissions Webinar: Big Data with Prof. Sampath Kannan
ML Fundamentals
March 28, 2019 - MCIT Online Admissions Webinar: Big Data with Prof. Sampath Kannan
Coursera Beginner 5y ago
Deep Learning Design Patterns with Andrew Ferlitsch
ML Fundamentals
Deep Learning Design Patterns with Andrew Ferlitsch
Weights & Biases Beginner 5y ago
Techfitlab Breaks Down Tesla Autopilot, AI, ML, and DL Complexities
ML Fundamentals
Techfitlab Breaks Down Tesla Autopilot, AI, ML, and DL Complexities
What's AI by Louis-François Bouchard Beginner 5y ago
TensorFlow Tutorial 16 - Custom Training Loops
ML Fundamentals
TensorFlow Tutorial 16 - Custom Training Loops
Aladdin Persson Beginner 5y ago
handcalcs - Automatically render LATEX equations from Python Math Code
ML Fundamentals
handcalcs - Automatically render LATEX equations from Python Math Code
1littlecoder Beginner 5y ago
1111111111111111111111111111111 & Unix Epoch - Computerphile
ML Fundamentals
1111111111111111111111111111111 & Unix Epoch - Computerphile
Computerphile Intermediate 5y ago
Assessing Property Damage with AI
ML Fundamentals
Assessing Property Damage with AI
NVIDIA Developer Intermediate 5y ago
2.1 Introduction to NN (L02: Nearest Neighbor Methods)
ML Fundamentals
2.1 Introduction to NN (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
1.6 ML motivation (L01: What is Machine Learning)
ML Fundamentals
1.6 ML motivation (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
1.5 ML application (L01: What is Machine Learning)
ML Fundamentals
1.5 ML application (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
Live - Data Science Q&A And Upcoming Videos Plan
ML Fundamentals
Live - Data Science Q&A And Upcoming Videos Plan
Krish Naik Intermediate 5y ago
Machine Learning And Deep Learning Model Deployment Architecture Using TF Lite In Mobile
ML Fundamentals
Machine Learning And Deep Learning Model Deployment Architecture Using TF Lite In Mobile
Krish Naik Beginner 5y ago
Special Thanks To Youtube - Happy Teacher's Day Youtube
ML Fundamentals
Special Thanks To Youtube - Happy Teacher's Day Youtube
Krish Naik Beginner 5y ago
Machine Learning And Deep Learning Model Deployment Architecture Using API's
ML Fundamentals
Machine Learning And Deep Learning Model Deployment Architecture Using API's
Krish Naik Beginner 5y ago
Data Science Is Just Not About Model Building
ML Fundamentals
Data Science Is Just Not About Model Building
Krish Naik Intermediate 5y ago
1.1 Course overview (L01: What is Machine Learning)
ML Fundamentals
1.1 Course overview (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
1.4 Notation (L01: What is Machine Learning)
ML Fundamentals
1.4 Notation (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
1.3 Categories of Machine Learning (L01: What is Machine Learning)
ML Fundamentals
1.3 Categories of Machine Learning (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
1.2 What is Machine Learning (L01: What is Machine Learning)
ML Fundamentals
1.2 What is Machine Learning (L01: What is Machine Learning)
Sebastian Raschka Beginner 5y ago
Live -End To End Docker Implementation Of Data  Science Projects
ML Fundamentals
Live -End To End Docker Implementation Of Data Science Projects
Krish Naik Intermediate 5y ago
W&B Deep Learning Salon - Dylan Paiton & Andrew Ferlitsch
ML Fundamentals
W&B Deep Learning Salon - Dylan Paiton & Andrew Ferlitsch
Weights & Biases Beginner 5y ago
Debugging Server Side Application Using Python In Pycharm
ML Fundamentals
Debugging Server Side Application Using Python In Pycharm
Krish Naik Intermediate 5y ago
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Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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Calculus: Single Variable Part 1 - Functions
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Calculus: Single Variable Part 1 - Functions
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Real-world End to End Machine Learning Ops on Google Cloud
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Real-world End to End Machine Learning Ops on Google Cloud
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Mathematical Thinking in Computer Science
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Mathematical Thinking in Computer Science
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