Foundations

ML Fundamentals

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

8502
lessons
TensorFlow Tutorial 18 - Custom Dataset for Images
📐 ML Fundamentals
TensorFlow Tutorial 18 - Custom Dataset for Images
Aladdin Persson Beginner 5y ago
The Oxford Economics of Mutuality Forum Day 2
📐 ML Fundamentals
The Oxford Economics of Mutuality Forum Day 2
Saïd Business School, University of Oxford Beginner 5y ago
The Oxford Economics of Mutuality Forum Day 1
📐 ML Fundamentals
The Oxford Economics of Mutuality Forum Day 1
Saïd Business School, University of Oxford Beginner 5y ago
Live- How To Create Deep Learning Model Using Tensorflow JS
📐 ML Fundamentals
Live- How To Create Deep Learning Model Using Tensorflow JS
Krish Naik Beginner 5y ago
Anthony Goldbloom — How to Win Kaggle Competitions
📐 ML Fundamentals
Anthony Goldbloom — How to Win Kaggle Competitions
Weights & Biases Beginner 5y ago
How to Become a Machine Learning Engineer
📐 ML Fundamentals
How to Become a Machine Learning Engineer
365 Data Science Beginner 5y ago
Markov Chains : Data Science Basics
📐 ML Fundamentals
Markov Chains : Data Science Basics
ritvikmath Beginner 5y ago
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
📐 ML Fundamentals
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur Beginner 5y ago
2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)
📐 ML Fundamentals
2.5 Improving k-nearest neighbors (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
2.4 Big O of K-nearest neighbors (L02: Nearest Neighbor Methods)
📐 ML Fundamentals
2.4 Big O of K-nearest neighbors (L02: Nearest Neighbor Methods)
Sebastian Raschka Beginner 5y ago
Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
📐 ML Fundamentals
Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
codebasics 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
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
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
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
Machine Learning Crash Course With ML.NET
📐 ML Fundamentals
Machine Learning Crash Course With ML.NET
Traversy Media Beginner 5y ago
TensorFlow Quantum (Quantum Summer Symposium 2020)
📐 ML Fundamentals
TensorFlow Quantum (Quantum Summer Symposium 2020)
TensorFlow Beginner 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
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
handcalcs - Automatically render LATEX equations from Python Math Code
📐 ML Fundamentals
handcalcs - Automatically render LATEX equations from Python Math Code
1littlecoder Beginner 5y ago
How I Pick Stocks.
📐 ML Fundamentals
How I Pick Stocks.
ritvikmath Beginner 5y ago
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
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
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
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
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
TensorFlow Tutorial 16 - Custom Training Loops
📐 ML Fundamentals
TensorFlow Tutorial 16 - Custom Training Loops
Aladdin Persson Beginner 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
TensorFlow Tutorial 15 - Customizing Model.Fit
📐 ML Fundamentals
TensorFlow Tutorial 15 - Customizing Model.Fit
Aladdin Persson Beginner 5y ago
GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
📐 ML Fundamentals
GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
codebasics Beginner 5y ago
Tutorial 7-Build,Train,Deploy Machine Learning Model AWS SageMaker- Predicting Test Data Endpoints
📐 ML Fundamentals
Tutorial 7-Build,Train,Deploy Machine Learning Model AWS SageMaker- Predicting Test Data Endpoints
Krish Naik Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Analyze, Create, and Secure Data with Zero Trust
📚 Coursera Course ↗
Self-paced
Analyze, Create, and Secure Data with Zero Trust
Opens on Coursera ↗
Real-World Applications & Model Deployment in Java
📚 Coursera Course ↗
Self-paced
Real-World Applications & Model Deployment in Java
Opens on Coursera ↗
Advanced Deployment Scenarios with TensorFlow
📚 Coursera Course ↗
Self-paced
Advanced Deployment Scenarios with TensorFlow
Opens on Coursera ↗
AI For Medical Treatment
📚 Coursera Course ↗
Self-paced
AI For Medical Treatment
Opens on Coursera ↗
Graduate Admission Prediction with Pyspark ML
📚 Coursera Course ↗
Self-paced
Graduate Admission Prediction with Pyspark ML
Opens on Coursera ↗
NLP – Machine Learning Models in Python
📚 Coursera Course ↗
Self-paced
NLP – Machine Learning Models in Python
Opens on Coursera ↗