Fundamentals of Machine Learning

This course has two parts: 2-day part A: Fundamentals of Machine Learning followed by 3-day Part B: Immersion into Machine Learning in R, SQL Server 2017, and Microsoft ML Server. The first part introduces the most important concepts and tools, while the second part teaches you R and how to use it for machine learning on the Microsoft platform.

The course covers Machine Learning Fundamentals, Algorithms, Data preparation, Data Science process, Model Building, Model Validation. It also emphasizes the importance of validation and improvement of models in data science projects.

Analysts, budding data scientists, data scientists, database and BI developers, programmers, power users, DBAs, predictive modellers, forecasters, consultants.

If you have attended a prior course on Machine Learning and are well-versed in model validity, accuracy, and reliability, consider attending the 3-day course. Otherwise, it is recommended to attend both the 2-day and 3-day courses.

Participants will gain knowledge in Machine Learning Fundamentals, Algorithms, Data preparation, Data Science process, Model Building, and Model Validation.

Format: 50% lectures, 30% demos, 20% tutorials. Participants are encouraged to follow the demos and work on tutorials. Azure account is required during the course. Necessary data sets will be provided. Pre-built machines may be available in some training centers. The course is suitable for individuals with various backgrounds such as analysts, data scientists, developers, and consultants.