Warning: array_merge(): Expected parameter 1 to be an array, null given in D:\Wordpress\blogs\paul\wp-includes\blocks\shortcode.php on line 31 Warning: array_merge(): Expected parameter 1 to be an array, null given in D:\Wordpress\blogs\paul\wp-includes\blocks\social-link.php on line 45 New class: Practical Machine Learning - Paul S. Randal

New class: Practical Machine Learning

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.

Target Audience

  • 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
  • Algorithms
  • Data
  • 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
  • Classification
  • Classifier Validation
  • Regressions
  • Regression Validation
  • Deployment to Production

You can read a more detailed curriculum here and all the class registration and logistical details are here.

We hope to see you there!

Leave a Reply

Your email address will not be published. Required fields are marked *

Other articles

Imagine feeling confident enough to handle whatever your database throws at you.

With training and consulting from SQLskills, you’ll be able to solve big problems, elevate your team’s capacity, and take control of your data career.