This course teaches optimization in machine learning with NumPy and SciPy, covering fundamentals, convex and non-convex techniques, and advanced algorithms.

Performance optimization, also known as performance tuning, involves making changes to the current state of the semantic model so that it runs more efficiently. Essentially, when your semantic model is optimized, it performs better.

Creating a Power BI report may look like an easy task, but there is a huge difference between the Power BI report that just works and the Power BI report that works efficiently!

Learn how to optimize model training in Azure Machine Learning by using scripts, jobs, components and pipelines.

Analyze individual query performance and determine where improvements can be made. Explore performance-related Dynamic Management Objects. Investigate how indexes and database design affect queries.

This course is for anyone is looking for a simple Business Intelligence Tool to present your data

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform.

In this course, you will learn about the role of Cloud Pak for Data administrator and how it relates to the role of OpenShift administrator.

This course introduces the learner to the Cloud Pak for Data platform.

This course covers the use of pandas arrays for data analysis and manipulation, including handling time data, categorical data, and sparse data. Hands-on exercises provide practical experience using pandas arrays to solve real-world problems.

PanPy For Anybody Pandas Basics