📐 ML Fundamentals

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

ML Fundamentals

L17.6 A Variational Autoencoder for Face Images in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L17.5 A Variational Autoencoder for Handwritten Digits in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Node-Red: Visual coding for ML on Raspberry Pi and beyond - Made with TensorFlow.js

TensorFlow Beginner 5y ago

ML Fundamentals

Machine Learning Interview Series#1-Asked in Interview

Krish Naik Beginner 5y ago

ML Fundamentals

War Stories Productionising ML // Nick Masca // Coffee Session#35

MLOps.community Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Intro to Neural Networks : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

1. Live coding Jarvis Transcriptions for Speech to Text Dataset p.1

sentdex Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Preprocessing data for Machine Learning - Deep Dive

CodeEmporium Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Flesch Kincaid Readability Tests

Data Skeptic Beginner 5y ago

ML Fundamentals

Multiclass logistic/softmax regression from scratch

Sophia Yang Intermediate 5y ago

ML Fundamentals

Introduction | Mathematics and statistics for data science and machine learning

codebasics Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

What is logarithm? | Math, Statistics for data science, machine learning

codebasics Beginner 5y ago

ML Fundamentals

Introduction To Machine Learning And Deep Learning For Starters

Krish Naik Beginner 5y ago

ML Fundamentals

Building Models with PyTorch

PyTorch Beginner 5y ago

ML Fundamentals

Conversational AI w/ Jarvis - checking out the API

sentdex Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

Nimrod Shabtay — Deployment and Monitoring at Nanit

Weights & Biases Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Predicting Crypto Prices in Python

NeuralNine Beginner 5y ago

ML Fundamentals

The Viterbi Algorithm : Natural Language Processing

ritvikmath Intermediate 5y ago

ML Fundamentals

I BUILT A NEURAL NETWORK IN MINECRAFT | Analog Redstone Network w/ Backprop & Optimizer (NO MODS)

Yannic Kilcher Beginner 5y ago

ML Fundamentals

Learner Spotlight: My Journey into AI

DeepLearningAI Intermediate 5y ago

ML Fundamentals

Do Neural Networks Think Like Our Brain? OpenAI Answers! 🧠

Two Minute Papers Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

adversarial.js: Break any neural network live in your browser - Made with TensorFlow.js

TensorFlow Intermediate 5y ago

ML Fundamentals

Mars rovers and machine learning with NASA JPL's Chris Mattmann

Weights & Biases Beginner 5y ago

ML Fundamentals

Production Inference Deployment with PyTorch

PyTorch Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

7. Linear regression model in PyTorch

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Accelerating Drug Discovery with Clara Discovery's MegaMolBart

NVIDIA Developer Intermediate 5y ago

ML Fundamentals

Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization

Microsoft Research Advanced 5y ago

ML Fundamentals ⚡ AI Lesson

I Built An AI That Destroys Watermarks

Aladdin Persson Beginner 5y ago

ML Fundamentals

L17.4 Variational Autoencoder Loss Function

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L17.3 The Log-Var Trick

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L17.2 Sampling from a Variational Autoencoder

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L17.1 Variational Autoencoder Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L17.0 Intro to Variational Autoencoders -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Deep Learning Interview Series #1- Asked In Interview

Krish Naik Beginner 5y ago

ML Fundamentals

Friday Live Q&A Ask Anything Related Data Science

Krish Naik Beginner 5y ago

ML Fundamentals

L16.5 Other Types of Autoencoders

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L16.4 A Convolutional Autoencoder in PyTorch -- Code Example

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L16.3 Convolutional Autoencoders & Transposed Convolutions

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L16.2 A Fully-Connected Autoencoder

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L16.1 Dimensionality Reduction

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L16.0 Introduction to Autoencoders -- Lecture Overview

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L15.7 An RNN Sentiment Classifier in PyTorch

Sebastian Raschka Beginner 5y ago

ML Fundamentals

L15.6 RNNs for Classification: A Many-to-One Word RNN

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Training with PyTorch

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch TensorBoard Support

PyTorch Beginner 5y ago

ML Fundamentals

Part of Speech Tagging : Natural Language Processing

ritvikmath Beginner 5y ago

ML Fundamentals

Difference Between fit(), transform(), fit_transform() and predict() methods in Scikit-Learn

Krish Naik Beginner 5y ago

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AI for Design and Optimization

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Machine Learning for Medical Data

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Advanced AI Techniques for the Supply Chain

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Responsible Innovation and Trustworthy AI

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Introduction to Embedded Machine Learning

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Microsoft Azure Machine Learning for Data Scientists

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Encoder-Decoder Architecture - Bahasa Indonesia

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Fundamentals of Deep Learning

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Algorithmic Thinking (Part 1)

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Google Cloud Product Fundamentals em Português Brasileiro

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Model Training & Evaluation

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Présentation de l'IA et du machine learning sur Google Cloud

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AI for Healthcare

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Transform Audio: Extract Features & Augment Models

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Satellite Remote Sensing Data Bootcamp With Opensource Tools

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Create Image Captioning Models - בעברית

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Introduction to Medical Software

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Survival Analysis in R for Public Health

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