Machine Learning and Data Science in R on Microsoft ML and SQL Servers - with Rafal Lukawiecki. This very intensive, hands-on, 5-day course has been designed for those who want to learn more in-depth machine learning and data science using R.
While this week will teach you a lot about the free, open source R, you will also realise that making R incredibly fast, scalable, enterprise-ready yet easy-to-use is easily accomplished with Microsoft ML Server and SQL Server ML Services—the key environments, together with RStudio, that we will focus on during this course.
You will learn:
• how to prepare and visualise data in R
• how to build, evaluate and validate models, and how to deploy them to production in-database, in-app and as a web service.
• the most important classification, clustering, regression and forecasting algorithms
• how to write your own code for analysing your results and drawing statistically meaningful conclusions and understanding the limits of confidence that you can place in that approach.
How you will benefit:
You will not only learn the technology and how to use it, but, much more importantly, you will understand how ML works, how to avoid common mistakes, such as overfitting / overtraining, how to balance model accuracy against its reliability the bias-variance trade-off and how to relate many important ML performance metrics to your business goals. You will gain clarity how to start your data science projects and how to finish them. You will know how to express the business need in terms of testable hypotheses, which will guide model building and selection.
You will understand what types of work are suited to ML, and which are unlikely to deliver results. You will discover what makes good first projects in your own area of specialisation. These are the key benefits of studying machine learning with Rafal Lukawiecki: industry veteran who has been practicing ML, data mining, statistical learning, and data science with his customers for well over a decade, and who has studied artificial intelligence at Imperial College in the ‘90s under the guidance of the leaders and the inventors of this area of industry and science.
Audience and Prerequisites:
Having prior knowledge of programming in any language is helpful when attending this course. However, based on Rafal Lukawiecki's experience of having taught over 900 data scientists, if you are prepared to work harder, complete novices can use this week to get their introduction to programming.
Language:
• English course material, English speaking instructor
Instructor: Rafal Lukawiecki
Rafal Lukawiecki is 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.