Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

In this introductory course, we'll be getting familiar with Linux and how to navigate within a Linux environment!

This module helps you understand the types of services and platforms Azure provides for Linux environments. Perhaps you're exploring the migration of Linux-based workloads to the cloud or you're looking at rearchitecting Linux-based applications to increase agility and reduce time to market. After reviewing this material, you should be able to choose which types of services you'll need to start planning your Linux environment.

Learn about Bash scripting, a powerful way to combine Bash commands, and write Bash scripts to navigate through your operating system.

Dive into Linux, a useful and lightweight operating system with a large impact on open-source technology.

Learn how to define users, manage user groups and privileges, and set permissions for files in Linux.

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

A high-level overview of machine learning for people with little or no knowledge of computer science and statistics. You'll learn some essential concepts, explore data, and interactively go through the machine learning lifecycle, using Python to train, save, and use a machine learning model, just like in the real world.

Learn the basics of machine learning, including algorithms, model evaluation, and real-world applications.

Learn to build projects by leveraging your ML skills in Hindi

Machine learning operations (MLOps) applies DevOps principles to machine learning projects. Learn about which DevOps principles help in scaling a machine learning project from experimentation to production.