Intermediate into Machine Learning in R, SQL Server 2017 and Microsoft ML Server
2019-11-13 09:00 to2019-11-15 17:00(Europe/Tallinn)
He has been a popular speaker at major IT conferences since 1998, and he had the honor of sharing keynote platforms with Bill Gates and Neil Armstrong. A natural educator, he explains complex concepts in simple terms in his enjoyably energetic style
Trainer Rafal Lukawiecki
Course focuses on the newest technologies of Microsoft Machine Learning Server and SQL Server 2017. By popular demand, second part (3 days) 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: 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.
Because of Rafal's 10+ years of real-world machine learning experience.
You will not only 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 Lukawiecki 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 will learn:
• how to avoid common pitfalls,
• how to get ahead of your competition by working faster,
• what is really useful and practical,
• what is more theoretical but still important,
• what hype you should be wary of.
You will be able to ask any questions related to your industry and you will 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.
There is a large number of tools that you can use with R, and we begin the day focusing on the essential ones. You will also learn how to organise your workflow. Topics include:
• RStudio vs. R Tools for Visual Studio
• Microsoft Machine Learning Server vs SQL Server Machine Learning Services
• Projects, files, scripts, history, version control
Notebooks and RMarkdown
Analysts, budding data scientists, database and BI developers, programmers, power users, DBAs, predictive modellers, forecasters, consultants.
If you have 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 are versed in model validity, accuracy, and reliability, consider attending 3-day course 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 2-day and 3-day course.
As Data Scientist at Project Botticelli Ltd, Rafal focuses on making advanced analytics and artiﬁcial intelligence easy and useful for his clients.
He can help you ﬁnd valuable, meaningful patterns and statistically valid correlations using data mining and machine learning in data sets both big and small. Rafal is also known for his work in business intelligence, data protection, enterprise architecture, and solution delivery. While majority of his clients come from consumer and corporate ﬁnance, entertainment, healthcare, IT, retail, and the public sectors, Rafal has worked in almost all industries.
He has been a popular speaker at major IT conferences since 1998, and he had the honour of sharing keynote platforms with Bill Gates and Neil Armstrong. A natural educator, he explains complex concepts in simple terms in his enjoyably energetic style.
Rafal was born in Poland. He left it in 1990 to study computing in United Kingdom, where he earned BEng in Computing Science, followed by MSc in Foundations of Advanced Information Technology, at Imperial College, University of London. His studies were sponsored by Oxford Computer Group Ltd, where he later worked as a developer, trainer, and a consultant. Since 2000 he has worked for Project Botticelli Ltd.
Outside of IT, Rafal spends a quarter of every year ﬁnding abstractions in natural landscapes, expressing them through traditional, black-and-white, large-format ﬁlm photography, making silver-gelatin prints by hand—see rafal.net. You can also follow Rafal on TwitterTwitter,, or connect with him on LinkedIn.