ML Fundamentals

Class 28 Video: Feature Extraction and Machine Learning (II)

Dataflow Computing for AI Inference [Kunle Olukotun] - 751

Mimecast’s AI solution helps mitigate human risk with AWS | Amazon Web Services

VGGNet - Explained!

Text Classification: Handling 1000+ Classes with Generative AI | Amazon Web Services

Inception Net - Explained! (with code)

Stanford Webinar - From Pixels to Human Impact: Unlocking Real-World Value with Computer Vision

Pointwise Convolutions - EXPLAINED (with code)

Future Climate Innovators Summer School

Will AI Replace Your Job? Here’s the Truth #FutureOfWork #AIJobs #Workplace #Automation #AIFuture

Deconvolution - what do networks learn? (visualization + code)

How you can SAVE A LOT OF TIME with Pre-trained models

Why synthetic data isn’t enough

Machine Learning models are HERE TO STAY

The AI REVOLUTION has TAKEN US by STORM

The SURPRISING POWER of PRIVATE DATA Revealed

R-CNN - Explained!

Region Proposals - Explained!

Eco-aware GNN Recommenders

Broadridge Forecasts the Future of Asset Management with AWS | Amazon Web Services

Image segmentation - Explained!

How was object detection done before neural networks?

Tom Jacobs Weight Decay Controls Implicit Regularization Insights on Generalization and Sparsity

Mufan Li - Introduction to Neural Network Scaling Limits