(Also available as Part 1: May 6-7 and Part 2: May 8-10 – see below for details)
This live classroom course debuted in 2018 and focuses on the newest technologies of Microsoft Machine Learning Server and SQL Server 2017. By popular demand, Part 2 of this course teaches programming in R, however most of the course is also applicable to Python programmers, as the key libraries are the same.
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.
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.
Why Attend This Class?
Because of Rafal’s 10+ years of real-world machine learning experience.
You’ll learn all the concepts and tools that you need to know from a great teacher who has trained almost 500 data scientists world-wide, a highly-respected presenter, capable of holding your attention, but, above all, from a practitioner of machine learning. Rafal has been delivering ML, data mining, and data science projects for customers in retail, banking, entertainment, healthcare, manufacturing, education, and government sectors for over ten years. Because of that, you’ll learn:
During class you’ll be able to ask any questions related to your industry and you’ll get relevant, pragmatic, no-nonsense answers, helping you get ahead with your own projects.
Learn from Rafal who has done it all, not from those who just teach it—this is why it is called Practical Machine Learning.
50% lectures, 30% demos, 20% tutorials.
You are encouraged to follow the demos on your machine, and you will be challenged to find answers to 3 larger problems during the tutorials. While they’re a hands-on part of the course, if you prefer not to practice, you’re welcome to use that time for additional Q&A, or to analyse your own data. We’ll provide you with all the necessary data sets, and we’ll explain what free or evaluation edition software needs to be installed to follow the course on your own laptop. You’ll need an Azure account (even a free one) during the course. You can copy course experiments and data into your workspace for learning and for future reference after the course.
For a detailed agenda click HERE.
If you need help justifying training to your organization, we can help you:
Click HERE to go to our events registration page, and please make sure to select the correct class (2-day Part 1, 3-day Part 2, or the full 5-day class) from the drop-down menu at the top of the page.
If you have any questions, please contact us.