This advanced machine learning masterclass is for experienced machine learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers.
Trainees will learn essential techniques for real machine learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models.
Advanced machine learning topics covered
Topics covered will include:
- data exploration and data preparation
- feature engineering
- prediction, using advanced modelling techniques including glmnet, xgboost, and random forests
- participants will also use unsupervised learning techniques to explore data and build features
- advanced model evaluation techniques such as n-fold cross validation
- model ensembling techniques, and
- advanced tips and tricks.
This course is suitable for trainees who have attended the courses Intro to R (+Data Visualisation) and Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics, or for those with some knowledge of machine learning and R.
Course content may vary from this outline, and will be driven by class learning needs. This course may also be offered under other names.
Early bird pricing is available until 2 weeks prior.
This is an AlphaZetta public course – group discounts are available during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.
Additional Information – Advanced Machine Learning Masterclass I
| Audience | Expert This is a practical course, suitable for existing and prospective data-analysis practitioners in government and industry. |
| Objective |
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| Prerequisites | Students should have completed or have equivalent knowledge to the courses Intro to R (+ data visualisation) and Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics |
| Format | Class |
| Duration | 2 days |
| Course Author | Dr Eugene Dubossarsky |
| Trainer | Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors. |
| Delivery Method | Online, in-person at AlphaZetta Academy locations or on-premise for corporate groups |
Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.
Photo by Greg Rakozy on Unsplash
Testimonials
The Introduction to R course provided clear and logical assistance to getting up and running with R. More than that, the real value was in providing guidance on the myriad of online resources and introducing me to a network of passionate and helpful R users. Eugene is a knowledgeable and approachable teacher. I wouldn’t hesitate in recommending the course. I feel that I am now fully on the road to applying R and using data to improve efficiency across my organisation.
For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!
I have been very fortunate to be on the R & Data Visualisation course read by Dr. Eugene Dubossarky.
I was thinking of doing computational finance with R—data analysis, statistical modeling, and data visualisation for large financial datasets, e.g. quantifying market risk measures—without the heavy lifting in Excel. And I was looking for the most effective introduction to programming in R.
The course exceeded all my expectations, given the breadth and quality of the information provided in Dr. Dubossarky’s presentation. The pace and structure of the course made learning intuitive and comfortable; providing cross-references between different programming languages and R showed the language capability in a familiar way; the elegance and power of R, its ability to facilitate rapid data analysis and visualisation were demonstrated in a number of real-life examples—encouraging us to integrate the course materials into our day-to-day tasks, and continue learning.
What I found also invaluable was his recommendations for numerous online resources, as well as offering his post-course support. All in all, this was the best start I was hoping for. I’d be happy to recommend this course for any corporate environment either in transition or thinking of switching to R.
I have been trying to convert my Stata programming skills to R, however, there have been many times where I just wanted to sit down with someone and have them explain the fundamentals of programming in R. Sure, a number of books and websites have helped me become familiar with R, however, I still didn’t feel ready to translate all of my familiar Stata commands to R (e.g. I am comfortable plotting graphics using ggplot2, however, revert back to Stata for data manipulation). I knew that a more effective way to learn and feel confident would be to sit down with someone and have them explain how they use R, how they clean data, how they plot graphics, etc. Once I felt comfortable with cleaning my data in R, I was sure analysis would be less of an issue—I’m happy to research the specifics on my own.
Thank you, Eugene for advancing my R skills. I especially appreciate the time spent explaining the fundamentals of data manipulation—i.e. the code one needs to know before running any basic or sophisticated analysis. The pace of the workshop was perfect.
