Foundations

ML Fundamentals

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

8500
lessons
Intro to Python chapter 2.4, Building a timer
📐 ML Fundamentals
Intro to Python chapter 2.4, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.3, Building a timer
📐 ML Fundamentals
Intro to Python chapter 2.3, Building a timer
Brandon Rohrer Beginner 5y ago
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
📐 ML Fundamentals
Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)
Patrick Loeber Beginner 5y ago
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
📐 ML Fundamentals
Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Life Skills 101 : Making Life Decisions Using Break-Even Analysis!
📐 ML Fundamentals
Life Skills 101 : Making Life Decisions Using Break-Even Analysis!
ritvikmath Beginner 5y ago
Parameters vs hyperparameters in machine learning
📐 ML Fundamentals
Parameters vs hyperparameters in machine learning
codebasics Beginner 5y ago
U-NET Paper Walkthrough
📐 ML Fundamentals
U-NET Paper Walkthrough
Aladdin Persson Beginner 5y ago
Time Series Forecasting with Machine Learning
📐 ML Fundamentals
Time Series Forecasting with Machine Learning
CodeEmporium Beginner 5y ago
Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021
📐 ML Fundamentals
Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021
Aladdin Persson Beginner 5y ago
Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI
📐 ML Fundamentals
Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI
DeepFindr Beginner 5y ago
Markov Chain Stationary Distribution : Data Science Concepts
📐 ML Fundamentals
Markov Chain Stationary Distribution : Data Science Concepts
ritvikmath Beginner 5y ago
STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
📐 ML Fundamentals
STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
Yannic Kilcher Beginner 5y ago
Who said robots can't dance? | Machine Learning Monthly December 2020
📐 ML Fundamentals
Who said robots can't dance? | Machine Learning Monthly December 2020
Daniel Bourke Beginner 5y ago
Take a Smartphone, Add Wings: a history of drones with Chris Anderson | Gradient Dissent Clip
📐 ML Fundamentals
Take a Smartphone, Add Wings: a history of drones with Chris Anderson | Gradient Dissent Clip
Weights & Biases Beginner 5y ago
Computational Linguistics: Crash Course Linguistics #15
📐 ML Fundamentals
Computational Linguistics: Crash Course Linguistics #15
CrashCourse Beginner 5y ago
Study With Me on Coursera! ft. Michael Bassili
📐 ML Fundamentals
Study With Me on Coursera! ft. Michael Bassili
Coursera Beginner 5y ago
Chris Anderson — Robocars, Drones, and WIRED Magazine
📐 ML Fundamentals
Chris Anderson — Robocars, Drones, and WIRED Magazine
Weights & Biases Beginner 5y ago
Ep#8 - The revolution of Federated Learning
📐 ML Fundamentals
Ep#8 - The revolution of Federated Learning
MLOps.community Beginner 5y ago
How Do I Manage My Time-Full time Job, Teaching And Family Time-Time Management-300K Special Video
📐 ML Fundamentals
How Do I Manage My Time-Full time Job, Teaching And Family Time-Time Management-300K Special Video
Krish Naik Beginner 5y ago
Simple MNIST Convnet - Keras Code Examples
📐 ML Fundamentals
Simple MNIST Convnet - Keras Code Examples
Connor Shorten Beginner 5y ago
Ineuron's New Portal For Community Free And Affordable Courses
📐 ML Fundamentals
Ineuron's New Portal For Community Free And Affordable Courses
Krish Naik Beginner 5y ago
Neural Style Transfer Tutorial with Tensorflow and Python in 10 Minutes
📐 ML Fundamentals
Neural Style Transfer Tutorial with Tensorflow and Python in 10 Minutes
Nicholas Renotte Beginner 5y ago
Intro to Python chapter 2.2, Building a timer
📐 ML Fundamentals
Intro to Python chapter 2.2, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.1, Building a timer
📐 ML Fundamentals
Intro to Python chapter 2.1, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 2.0, Building a timer
📐 ML Fundamentals
Intro to Python chapter 2.0, Building a timer
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.5, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.5, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.4, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.4, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.3, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.3, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.2, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.2, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.1, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.1, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python chapter 1.0, Building a clock
📐 ML Fundamentals
Intro to Python chapter 1.0, Building a clock
Brandon Rohrer Beginner 5y ago
Intro to Python, Getting started
📐 ML Fundamentals
Intro to Python, Getting started
Brandon Rohrer Beginner 5y ago
Should I pursue data analyst masters in USA?
📐 ML Fundamentals
Should I pursue data analyst masters in USA?
codebasics Beginner 5y ago
Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
📐 ML Fundamentals
Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
codebasics Beginner 5y ago
Probability - Math for Machine Learning
📐 ML Fundamentals
Probability - Math for Machine Learning
Weights & Biases Beginner 5y ago
Calculus - Math for Machine Learning
📐 ML Fundamentals
Calculus - Math for Machine Learning
Weights & Biases Beginner 5y ago
Linear Algebra - Math for Machine Learning
📐 ML Fundamentals
Linear Algebra - Math for Machine Learning
Weights & Biases Beginner 5y ago
What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
📐 ML Fundamentals
What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Building a Dog Breed Identifier App from scratch - DogNet
📐 ML Fundamentals
Building a Dog Breed Identifier App from scratch - DogNet
Aladdin Persson Beginner 5y ago
Past 10 Years Of AI 2010 - 2020-What All Innovation And Research We Saw?
📐 ML Fundamentals
Past 10 Years Of AI 2010 - 2020-What All Innovation And Research We Saw?
Krish Naik Beginner 5y ago
Advance Python Series-Magic Methods In Classes
📐 ML Fundamentals
Advance Python Series-Magic Methods In Classes
Krish Naik Beginner 5y ago
How to deal with Imbalanced Datasets in PyTorch - Weighted Random Sampler Tutorial
📐 ML Fundamentals
How to deal with Imbalanced Datasets in PyTorch - Weighted Random Sampler Tutorial
Aladdin Persson Beginner 5y ago
What Is A Citizen Data Scientist?
📐 ML Fundamentals
What Is A Citizen Data Scientist?
Krish Naik Beginner 5y ago
Building Our First Deep Learning App from scratch - Hello Mnist
📐 ML Fundamentals
Building Our First Deep Learning App from scratch - Hello Mnist
Aladdin Persson Beginner 5y ago
Do Not Quit Your Job Until? Sharing My Experience
📐 ML Fundamentals
Do Not Quit Your Job Until? Sharing My Experience
Krish Naik Beginner 5y ago
Advance Python Series- Inheritance In Python
📐 ML Fundamentals
Advance Python Series- Inheritance In Python
Krish Naik Beginner 5y ago
Monte Carlo Simulations : Data Science Basics
📐 ML Fundamentals
Monte Carlo Simulations : Data Science Basics
ritvikmath Beginner 5y ago
Advance Python Series- Public Private And Protected Access Modifiers
📐 ML Fundamentals
Advance Python Series- Public Private And Protected Access Modifiers
Krish Naik Beginner 5y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Matrix Algebra for Engineers
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Self-paced
Matrix Algebra for Engineers
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NVIDIA: Fundamentals of Deep Learning
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Self-paced
NVIDIA: Fundamentals of Deep Learning
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Python per la Data Science
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Self-paced
Python per la Data Science
Opens on Coursera ↗
Digital Signal Processing 2: Filtering
📚 Coursera Course ↗
Self-paced
Digital Signal Processing 2: Filtering
Opens on Coursera ↗
Machine Learning Algorithms: Supervised Learning Tip to Tail
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Self-paced
Machine Learning Algorithms: Supervised Learning Tip to Tail
Opens on Coursera ↗
Implantação e escalonamento de modelos de IA com o Cloud Run
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Self-paced
Implantação e escalonamento de modelos de IA com o Cloud Run
Opens on Coursera ↗