📐 ML Fundamentals

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

📐 ML Fundamentals

What is AI, ML, and Deep Learning?

Google for Developers Beginner 2y ago

📐 ML Fundamentals

Learn Web ML #webdev

Google for Developers Beginner 2y ago

📐 ML Fundamentals

7.1: Machine Learning as a Web Engineer - putting knowledge into practice

Google for Developers Beginner 3y ago

📐 ML Fundamentals

6.5: Dealing with edge cases in spam detection

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

6.6: Using a retrained spam detection model in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

📐 ML Fundamentals

6.1: Using models from Python in the web browser with TensorFlow.js

Google for Developers Advanced 3y ago

📐 ML Fundamentals

6.2: Converting Python saved models with the TensorFlow.js command line converter

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

Recognize custom objects with TensorFlow.js.

Google for Developers Beginner 3y ago

📐 ML Fundamentals

5.3: Using layers models for transfer learning

Google for Developers Beginner 3y ago

📐 ML Fundamentals

5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js

Google for Developers Beginner 3y ago

📐 ML Fundamentals

This is what we mean when we say Google Developer Experts (GDE)

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.5.1: Multi-layer perceptrons - The limits of a single neuron

Google for Developers Beginner 3y ago

📐 ML Fundamentals

TensorFlow.js tutorial: A neuron implementation for linear regression

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.4.2: Implement a neuron for linear regression - Importing and normalizing training data

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

4.4.1: Implement a neuron for linear regression - Training data and outliers

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

ML tutorial: How to train neurons

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.3.1: What's a neuron?

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.2: Gathering, refining, and using data effectively for ML model datasets

Google for Developers Beginner 3y ago

📐 ML Fundamentals

4.1: Rolling your own Web ML models from a blank canvas

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

3.6.2: Using advanced pre-trained Web ML models - Part 2: Use MoveNet for pose estimation in browser

Google for Developers Advanced 3y ago

📐 ML Fundamentals

Exploring Tensorflow Hub: Using pre-trained web ML models

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Tutorial: How to use raw tensorFlow.js pre-trained models in browser

Google for Developers Beginner 3y ago

📐 ML Fundamentals

TensorFlow fundamentals: What are tensors in TensorFlow.js?

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Tutorial: Make a web-based smart camera with the COCO-SSD machine learning model in TensorFlow

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.3.5: Make your own web based smart camera in JS - Part 5

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.3.4: Make your own web based smart camera in JS - Part 4

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.3.3: Build a web based smart camera in JavaScript - Part 3

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.3.2: Make your own web based smart camera in JS - Part 2

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.3.1: Make your own web based smart camera in JS - Part 1

Google for Developers Beginner 3y ago

📐 ML Fundamentals

3.2: Selecting an ML model to use

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

2.5: 3 ways to use Machine Learning on the web with TensorFlow.js

Google for Developers Beginner 3y ago

📐 ML Fundamentals

2.4: What is TensorFlow.js? (JavaScript + Machine Learning)

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Machine learning systems primer: How to train ML models

Google for Developers Beginner 3y ago

📐 ML Fundamentals

2.2: Demystifying Machine Learning

Google for Developers Beginner 3y ago

📐 ML Fundamentals

AI demystified: The difference between artificial intelligence, machine learning, and deep learning

Google for Developers Beginner 3y ago

📐 ML Fundamentals

1.3: Breakdown of WebML course

Google for Developers Advanced 3y ago

📐 ML Fundamentals

How web developers can use machine learning

Google for Developers Advanced 3y ago

📐 ML Fundamentals

1.1: Machine Learning for Web Devs & Creatives (Web ML) - Next gen web apps with TensorFlow.js

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Using ML to prevent the use of counterfeit money in Pakistan

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt

Google for Developers Advanced 3y ago

📐 ML Fundamentals

Building drones to restore deforestation

Google for Developers Intermediate 3y ago

📐 ML Fundamentals

Deep-dive on ARCore | Fundamentals of designing AR apps with machine learning models

Google for Developers Beginner 3y ago

📐 ML Fundamentals

Climbing up the slope of enlightenment in AI and ML

Google for Developers Intermediate 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Introduction to the Tidyverse

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Introduction to Self-Driving Cars

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Self-paced

Attention Mechanism

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Self-paced

Logistic Regression with R: Build & Predict

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Self-paced

Introduction to High-Performance and Parallel Computing

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Self-paced

Introduction to AI and Machine Learning

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Self-paced

No-Code AI Foundations for Business Professionals

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Self-paced

Introduction to AI and Machine Learning on Google Cloud

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Self-paced

Algebra: Elementary to Advanced - Equations & Inequalities

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Self-paced

Approximation Algorithms

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Self-paced

AI Infrastructure: Cloud TPUs

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📚 Coursera Course ↗

Self-paced

AI Workflow: Business Priorities and Data Ingestion

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📚 Coursera Course ↗

Self-paced

Build a Machine Learning Image Classifier with Python

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📚 Coursera Course ↗

Self-paced

Doing Clinical Research: Biostatistics with the Wolfram Language

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Self-paced

Machine Learning With Big Data

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Deep Learning and Advanced Techniques

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📚 Coursera Course ↗

Self-paced

Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

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📚 Coursera Course ↗

Self-paced

Principles of Computing (Part 1)

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