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Unified end-to-end machine learning infrastructure to generate recommendations Link

The desire to make applications and machines more intelligent and the aspiration to enable their operation without human interaction have been driving innovations in neural networks, deep learning, and other machine learning techniques. Link

The Responsible Machine Learning Principles are a practical framework put together by domain experts. Their purpose is to provide guidance for technologists to develop machine learning systems responsibly. Link

#some2 380 videos • 351 channels Link

Natural Language Processing remains one of the hottest topics of 2022. By using GitHub stars (albeit certainly not the only measure) as a proxy for popularity, we took a look at what NLP projects are getting the most traction so far this year, just as we recently did with machine learning projects. It’s a list with some familiar names but there are plenty of surprises also! Link

Recreating DeepMind’s AlphaZero - AI Plays Connect 4 Link

A model registry is a central repository that is used to version control Machine Learning (ML) models. It simply tracks the models while they move between training, production, monitoring, and deployment. Link

This document is intended to help those with a basic knowledge of machine learning get the benefit of Google’s best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and other popular guides to practical programming. If you have taken a class in machine learning, or built or worked on a machine­-learned model, then you have the necessary background to read this document.

Data-Visualization Tools and Books Link

Imagine the following scenario: You have a brilliant idea for a new AI project. To make it happen, you need to convince management to fund your idea. You need to pitch your AI project idea to stakeholders and management. Yuck. Link

The meteoric rise of Diffusion Models is one of the biggest developments in Machine Learning in the past several years. Learn everything you need to know about Diffusion Models in this easy-to-follow guide. Link Notebook

Text-to-Image models have made great strides this year, from DALL-E 2 to the more recent Imagen model. In this tutorial learn how to build a minimal Imagen implementation - MinImagen. Link

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This repository aims to simplify this by mapping the ecosystem of guidelines, principles, codes of ethics, standards and regulation being put in place around artificial intelligence. Link

We focus on four tasks: Processing a tabular transaction dataset into a heterogeneous graph dataset Training a GNN model using SageMaker Deploying the trained GNN models as a SageMaker endpoint Demonstrating real-time inference for incoming transactions Link