Quick Starter for Optical Character Recognition, Image Recognition Object Detection and Object Recognition using Python

YOLO: Pre-Trained Coco Dataset and Custom Trained Coronavirus Object Detection Model with Google Colab GPU Training

Study methods for processing and analyzing natural language data for various AI applications.

How do we know if a model is good or bad at classifying our data? The way that computers assess model performance sometimes can be difficult for us to comprehend or can over-simplify how the model will behave in the real world. To build models that work in a satisfactory way, we need to find intuitive ways to assess them, and understand how these metrics can bias our view.

Create and deploy an Azure function to make a language translation IoT device. The function will use Cognitive Speech Service. Your device will record a voice in a foreign language and convert the speech to a target language.

Explore CNN architectures and techniques for image classification and recognition tasks.

Learn how to assemble custom models into composed solutions that can analyze different types of your own documents.

Use the power of artificial intelligence to enrich your data and find new insights.

The Azure AI Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.

Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.

Learn how to use Azure Machine Learning data labeling to create, manage, and monitor data labeling projects.

This module provides guidance on how to collaborate effectively with customers, partners, and the disability community to create innovative solutions that are accessible and inclusive. After you complete this module, you'll have a better understanding of how AI can empower and enable everyone.