We’ve added a third brand-new class to our Spring line-up in Chicago: Immersion Event on Practical Machine Learning.
It’s a combination 2-day class plus 3-day class, taught by industry expert Rafal Lukawiecki, presented on May 7-8 and 9-11, 2018.
This course has two parts. You start with the 2-day Part 1: Introduction to Machine Learning, AI & Data Science with Azure ML and SQL Server followed by the 3-day Part 2: Intermediate Machine Learning in R on SQL Server 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.
- Part 1: Analysts, budding data scientists, database and BI developers, programmers, power users, DBAs, predictive modelers, forecasters, consultants.
- Part 2: Data scientists and attendees of Part 1
If you’ve attended a prior course on Machine Learning, like Rafal’s week-long class Practical Data Science that was offered in 2015–2017, and if you’re versed in model validity, accuracy, and reliability, consider attending Part 2 only. Ask yourself these questions: can I explain the difference between cross-validation and hold-out testing, do I know which business metrics correspond to precision and which to recall, is model accuracy more important than reliability, and how does a boosted decision tree work. If in doubt, please attend both Parts 1 and 2.
The modules are as follows:
Part 1: Introduction to Machine Learning, AI & Data Science with Azure ML and SQL Server (Mon-Tue)
- Machine Learning Fundamentals
- Process of Data Science
- Introduction to Model Building
- Introduction to Model Validation
Part 2: Intermediate Machine Learning in R on SQL Server and Microsoft ML Server (Wed-Fri)
- Working with R
- Data Preparation in R
- Plots and Visualizations in R
- Clustering, Segmentation, Anomaly Detection
- Classifier Validation
- Regression Validation
- Deployment to Production
We hope to see you there!