📐 ML Fundamentals

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

ML Fundamentals

L1.2 What is Machine Learning?

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L1.1.2 Course Overview Part 2: Organization (Optional)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Albumentations Tutorial for Data Augmentation (Pytorch focused)

Aladdin Persson Beginner 5y ago

ML Fundamentals

2021 Microsoft Research Ada Lovelace Fellow: Demba Komma

Microsoft Research Beginner 5y ago

ML Fundamentals

Call for Reproducing Papers

Weights & Biases Advanced 5y ago

ML Fundamentals

Metropolis - Hastings : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

How to serve any machine learning or deep learning model using FastAPI

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Build your own neural network, Exercise 9

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 8

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Neural Networks from Scratch - P.7 Calculating Loss with Categorical Cross-Entropy

sentdex Advanced 5y ago

ML Fundamentals

Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)

Patrick Loeber Beginner 5y ago

ML Fundamentals

Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Life Skills 101 : Making Life Decisions Using Break-Even Analysis!

ritvikmath Beginner 5y ago

ML Fundamentals

Parameters vs hyperparameters in machine learning

codebasics Beginner 5y ago

ML Fundamentals

U-NET Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

Greg Yang on Feature Learning in Infinite-Width Networks

Weights & Biases Advanced 5y ago

ML Fundamentals

First Live Q&A Of 2021 - Ask Anything Related To Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Time Series Forecasting with Machine Learning

CodeEmporium Beginner 5y ago

ML Fundamentals

Understanding Convolutional Neural Networks | Part 3 / 3 - Transfer Learning and Explainable AI

DeepFindr Beginner 5y ago

ML Fundamentals

STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)

Yannic Kilcher Beginner 5y ago

ML Fundamentals

Who said robots can't dance? | Machine Learning Monthly December 2020

Daniel Bourke Beginner 5y ago

ML Fundamentals

L1.1.1 Course Overview Part 1: Motivation and Topics

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L1.0 Intro to Deep Learning, Course Introduction

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Build your own neural network, Exercise 7

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 6

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 5

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 4

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 3

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 2

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Build your own neural network, Exercise 1

Brandon Rohrer Advanced 5y ago

ML Fundamentals

Intro to Python chapter 2.5, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 2.4, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 2.3, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 2.2, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 2.1, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 2.0, Building a timer

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.5, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.4, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.3, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.2, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.1, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python chapter 1.0, Building a clock

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Intro to Python, Getting started

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Markov Chain Monte Carlo (MCMC) : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial 2021

Aladdin Persson Beginner 5y ago

ML Fundamentals

Markov Chain Stationary Distribution : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

He got 5 internships and 2 job offers | Interview with Zomato machine learning engineer

codebasics Intermediate 5y ago

ML Fundamentals

Take a Smartphone, Add Wings: a history of drones with Chris Anderson | Gradient Dissent Clip

Weights & Biases Beginner 5y ago