AI and Machine Learning Algorithms Using Python

How can you improve your understanding of machine learning concepts (ML) and how Python works within these concepts?

This course in data science will provide you with a solid foundation in machine learning theories and practical experience building, validating, and deploying machine-learning models.

Learn the basics of machine learning and artificial Intelligence (AI) concepts, and how to interpret complex data relationships. You will learn how to program in Python and see how the most advanced machine learning algorithms are used in products and services.

What are the most important concepts and theories that drive AI technology? This course will cover core principles like ML categories (such supervised and unsupervised learning), common regression techniques and how machines behave and learn.

It is more art than science to effectively deploy machine learning models. This course will help you bridge the gap between IT & data science when putting a great model into production.

Once ML models have been deployed, you can use Python and Azure notebooks to gather insights. This course will teach you how to use Python and Notebooks to gather output data, requests, failure rates, and other information.