Advanced Machine Learning Masterclass

Advanced Machine Learning Masterclass

2,760.00

SYDNEY: 8–9 November

DATE & TIME

Thu., 08/11/2018, 9:30 am –

Fri., 09/11/2018, 5:00 pm AEST

LOCATION

BCA

Level 1

65 York Street

Sydney, NSW 2000

MELBOURNE: 20–21 November

DATE & TIME

Tue., 20/11/2018, 9:30 am –

Wed., 21/11/2018, 5:00 pm AEST

LOCATION

Saxons Training Facilities

Level 8

500 Collins Street

Melbourne, Victoria 3000 Australia

 

About the Course

This course 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.

Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques including glmnetxgboost, and random forests. Participants will also use unsupervised learning techniques to explore data and build features.

The course will also cover 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 “Introduction to R and Data Visualisation” and “Predictive Analytics and Data Science”, 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.

 

Testimonials

Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!

—Damon Rasheed, CEO, Rate Detective

 

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!

—Alix Duncan

 

Data science can be a challenging topic but Eugene’s “Introduction to Machine Learning” course turns complex statistical models into plain English. The course contents and presentation were accessible and I enjoyed the mixture of hands-on rattle() exercises, the challenge of building multiple models with real life data, and the salient theory whiteboard discussions created many “aha" moments.

It was a great introductory course and it gave me with a better grasp of Machine Learning in general, a great framework for thinking about it and practical hands-on skills that I can put to immediate use. I wish I had done this course sooner.

—Charl Swart, Director of Business Operations, Unisys Credit Services

 

Platform

Training for all courses will be conducted with Microsoft R Open, the Enhanced Distribution of R. “Predictive Analytics, Machine Learning and Data Science for Big Data” and related courses, along with all advanced courses, will also include use of Azure ML, Microsoft's interactive machine learning platform in the cloud.

 

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

 

Variation

Course material may vary from what is advertised due to the demands and learning pace of attendees. Additional material may be presented along with or in place of what is advertised.

 

Frequently asked questions (FAQ(s))

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

 

You can schedule a call with a Black Cat Data Career Consultant to discuss this course.

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