📐 ML Fundamentals

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

ML Fundamentals

L1.4 The Supervised Learning Workflow

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

PyTorch Quick Tip: Mixed Precision Training (FP16)

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Practical MLOps // Noah Gift // MLOps Coffee Sessions #27

MLOps.community Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Automated Videoing Assistant - Made with TensorFlow.js

TensorFlow Beginner 5y ago

ML Fundamentals

L1.3.4 Broad Categories of ML Part 4: Special Cases of Supervised Learning

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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 ⚡ AI Lesson

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

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 ⚡ AI Lesson

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 ⚡ AI Lesson

Parameters vs hyperparameters in machine learning

codebasics Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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

Markov Chain Stationary Distribution : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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

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

Weights & Biases Beginner 5y ago

ML Fundamentals

Computational Linguistics: Crash Course Linguistics #15

CrashCourse Beginner 5y ago

ML Fundamentals

Study With Me on Coursera! ft. Michael Bassili

Coursera Beginner 5y ago

ML Fundamentals

Chris Anderson — Robocars, Drones, and WIRED Magazine

Weights & Biases Beginner 5y ago

ML Fundamentals

Ep#8 - The revolution of Federated Learning

MLOps.community Beginner 5y ago

ML Fundamentals

L1.3.3 Broad Categories of ML Part 3: Reinforcement Learning

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L1.3.2 Broad Categories of ML Part 2: Unsupervised Learning

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L1.3.1 Broad Categories of ML Part 1: Supervised Learning

Sebastian Raschka Beginner 5y ago

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

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 ⚡ AI Lesson

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 ⚡ AI Lesson

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 ⚡ AI Lesson

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 ⚡ AI Lesson

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

U-NET Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

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

Aladdin Persson Beginner 5y ago

ML Fundamentals

Should I pursue data analyst masters in USA?

codebasics Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)

codebasics Beginner 5y ago

ML Fundamentals

Probability - Math for Machine Learning

Weights & Biases Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Calculus - Math for Machine Learning

Weights & Biases Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Debug Neural Networks: Analyze Training Dynamics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Harden AI: Secure Your ML Pipelines

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Analytic Combinatorics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Linear Algebra

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Scalable Machine Learning on Big Data using Apache Spark

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Solving ML Regression Problems with AWS AutoGluon

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to AI: Key Concepts and Applications

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI for Autonomous Vehicles and Robotics

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Google Cloud Product Fundamentals en Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Modèles de séquence

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Planning a Machine Learning Project

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Matrix Calculus for Data Science & Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Customising your models with TensorFlow 2

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning with Databricks and MLflow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Snowflake for Data Science: Intro to Snowpark ML for Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

VLSI CAD Part I: Logic

Opens on Coursera ↗