Learn the fundamentals of Artificial Intelligence with a combination of AI fundamentals and an overview of the rich Linux Foundation AI & Data projects ecosystem. It is well-suited for any kind of AI adopter, regardless of the professional background and level of technical knowledge.

This course will teach you about the different types of Data Normalization techniques you can use when preparing your Deep Learning datasets in Machine Learning.

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

From zero to Python, with a focus on preparing you for data science and machine learning.

This course is a hands-on intro to machine learning concepts anbd showcases the use of Python and its key ML libraries in practical coding examples.

This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work.

This course helps aspiring candidates design machine learning systems at scale, with practice problems, for grokking ML system design interviews.

This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.

Teach computers how to make decisions and play games with the Minimax Algorithm!

Level up your machine learning skills by using unsupervised learning to find patterns hidden in data.

Get started with machine learning and learn how to build, implement, and evaluate linear regression models.