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

Implement tasks for both IaaS and PaaS to maintain indexes, and statistics. Explore the automatic tuning features of Azure SQL Database. Control database-level configuration options. Explore Intelligent Query Processing.

Choose the appropriate size and storage options for your Azure SQL databases. Configure server resources such as tempdb. Understand the usage of Resource Governor.

Learn how to work with environments for continuous deployment of machine learning models.

This course will introduce basic methods to convert categorical variables into quantitative variables for analysis using Python. Without properly prepared data, your model is likely to be inaccurate or incomplete.

Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you'll explore options for adopting, using, and creating copilots.

Introduction to statistics and probability

Data science, Machine learning, statistical test, hypothesis, statistics

Use JavaScript, Azure, GitHub, and Visual Studio Code to write a web app that helps the Tune Squad coach make data-based decisions on the basketball court, inspired by SPACE JAM: A NEW LEGACY.

In this course, you'll dive into DataFrame indexing with pandas. Follow Abby, a marketing analyst, as she navigates her marketing dataset. You'll learn reindexing, .loc, .iloc, data filtering techniques, and more through interactive demos.

Explore model explanations, error analysis, counterfactuals, and causal analysis by creating a Responsible AI dashboard. You'll create and run the pipeline in Azure Machine Learning using the Python SDK v2 to generate the dashboard.