📐 ML Fundamentals

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

ML Fundamentals

Waste Classification Machine Learning Classification Project-Waste Recycling

Krish Naik Beginner 5y ago

ML Fundamentals

CycleGAN Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

L10.5.4 Dropout in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L10.4 L2 Regularization for Neural Nets

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Pix2Pix implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

AI and Gaming Research Summit 2021 - Understanding Players (Day 2 Track 1.2)

Microsoft Research Beginner 5y ago

ML Fundamentals

Expectations with Machine Learning

CodeEmporium Beginner 5y ago

ML Fundamentals

PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial

Patrick Loeber Beginner 5y ago

ML Fundamentals

Level up your software engineering skills as a data scientist | ML Monthly February 2021

Daniel Bourke Beginner 5y ago

ML Fundamentals

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Machine Learning Frameworks - The Landscape

Roboflow Beginner 5y ago

ML Fundamentals

How to Learn DATA SCIENCE Ridiculously FAST

Nicholas Renotte Beginner 5y ago

ML Fundamentals

Python Tutorial for Beginners - Learn Python in 5 Hours [FULL COURSE]

TechWorld with Nana Beginner 5y ago

ML Fundamentals

PIE & AI Kigali – Building a Career in Data Science: From Learning to Landing a Job

Deep Learning Revision Beginner 5y ago

ML Fundamentals

Cal Newport: Deep Work, Focus, Productivity, Email, and Social Media | Lex Fridman Podcast #166

Lex Fridman Beginner 5y ago

ML Fundamentals

Intro to Deep Learning (ML Tech Talks)

TensorFlow Beginner 5y ago

ML Fundamentals

Does anyone know of a good way to manage dependencies? // MLOps Coffee Sessions #31 Part 2 Clip

MLOps.community Beginner 5y ago

ML Fundamentals

Amazing Data Science End To End Project From Starters In ML and Deep Learning- Agriculture Domain

Krish Naik Beginner 5y ago

ML Fundamentals

Petroleum Engineer To Data Scientist

codebasics Beginner 5y ago

ML Fundamentals

Outliers : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

Autoencoders in Python with Tensorflow/Keras

sentdex Beginner 5y ago

ML Fundamentals

Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

AutoNLP Preview: Auto model-selection, fine-tuning and deployment of state-of-the-art NLP models

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)

TensorFlow Beginner 5y ago

ML Fundamentals

Intro to Git and GitHub : Data Science Code

ritvikmath Beginner 5y ago

ML Fundamentals

NEW TensorFlow Deep Learning Course Release Celebration/QA

Daniel Bourke Beginner 5y ago

ML Fundamentals

Weights and Biases Product Overview

Weights & Biases Beginner 5y ago

ML Fundamentals

Machine learning for drug discovery with insitro's Daphne Koller

Weights & Biases Beginner 5y ago

ML Fundamentals

L10.2 Data Augmentation in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L10.0 Regularization Methods for Neural Networks -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

How (and why) you should undervolt your GPU - A step by step guide (Deep Learning/Gaming/Mining)

Aladdin Persson Beginner 5y ago

ML Fundamentals

L9.5.2 Custom DataLoaders in PyTorch --Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.5.1 Cats & Dogs and Custom Data Loaders

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.4 Overfitting and Underfitting

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Pix2Pix Paper Walkthrough

Aladdin Persson Beginner 5y ago

ML Fundamentals

L9.3.3 Multilayer Perceptron in PyTorch -- Code Example Part 3/3 (Script Setup)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.3.2 Multilayer Perceptron in PyTorch -- Code Example Part 2/3 (Jupyter Notebook)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.3.1 Multilayer Perceptron -- Code Example Part 1/3 (Slide Overview)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.2 Nonlinear Activation Functions

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.1 Multilayer Perceptron Architecture

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L9.0 Multilayer Perceptrons -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)

TensorFlow Beginner 5y ago

ML Fundamentals

Nhập môn Thị giác máy tính bằng công nghệ học máy (Machine Learning: Zero to Hero, phần 2)

TensorFlow Beginner 5y ago

ML Fundamentals

Giới thiệu về công nghệ học máy (Machine Learning: Zero to Hero, phần 1)

TensorFlow Beginner 5y ago

ML Fundamentals

L8.9 Softmax Regression -- Code Example Using PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L8.8 Softmax Regression Derivatives for Gradient Descent

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Algorithm Alchemy: Unlocking the Secrets of Machine Learning

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Automate Data Onboarding, Validate, and Govern

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Advancing Your Career in AI and Machine Learning Engineering

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AI Foundations for Creativity

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Responsible AI: Applying AI Principles with Google Cloud

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Google Cloud Product Fundamentals em Português Brasileiro

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Deep Learning and Reinforcement Learning

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Introduction to Calculus

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Optimize TensorFlow Models For Deployment with TensorRT

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Advanced Machine Learning, Big Data, and Deep Learning

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Introduction to Data Science and scikit-learn in Python

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Machine Learning in Production

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Data Science Decisions in Time: Using Causal Information

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Responsible AI: Applying AI Principles with GC - Italiano

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Analyze and Build Deep Learning Models with TensorFlow

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Machine Learning With Big Data

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Python: Implement & Evaluate Random Forests for ML

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Introduction to Long Short Term Memory (LSTM) Training

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