Machine Learning with R - 3-Day Training Course

Description:

1. Course description.

The powerful statistical capabilities of R programming language include a large selection of machine learning algorithms which can be applied for classification, clustering and predictive analytics. This course explores practical applications of the most frequently used machine learning methods such a k-Nearest Neighbours, Naive Bayes, Regressions and Decision Trees algorithms through R statistical environment. It also provides a good introduction to more advanced techniques e.g. Artificial Neural Networks and Support Vector Machines.  The course aims to achieve the following goals:

• to introduce attendees to a variety of machine learning algorithms for classification and forecasting, and their practical applications through R language,
• to present numerous third-party packages which facilitate ML application in R,
• to guide the attendees through a range of R functions specific to each machine learning algorithm and implement them in practical scenarios with real-world data,
• to explain the importance of Machine Learning model performance and ways of its evaluation and improvement,
• to implement selected Machine Learning algorithms using R and H2O framework.

2. Programme. 

The course will run for three days from 9:30am until ~5:00pm on each day and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, economics and business fields, however the contents may vary depending on specific interests of participants (based on the Participant's Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break on each day.

3. What is included?

Apart from the contents of the course, Mind Project will provide the participants with the following:

• a digital (USB memory stick) Course Manual including all presentation slides, R course codes and a list of reference books and online resources,
• additional home exercises and all data sets available to download,
• Wi-Fi access,
• Central London location - at the Ironmongers' Hall, next to the Barbican station and the Museum of London,
• networking opportunity,
• Mind Project course attendance certificate.

4. Further instructions.

• In order to fully benefit from the Seminar, we recommend that attendees bring their personal laptops to the session with the most recent version of R and R Studio software installed and at least one of the following web browsers: Chrome, Safari and/or Internet Explorer. As R is a free environment you can download it directly from www.r-project.orgwebsite and R Studio is available athttps://www.rstudio.com/products/rstudio/#Desktop. Please contact us should you have any questions or issues with the installation process. No specific R packages are required before the course (the course tutors will explain this during the training).

• This course is targeted at users with some R experience (preferably at Intermediate level) and interest in Machine Learning algorithms. Our “Applied Data Science in R” training course is a good pre-requisite to participate in this course. 

• Participants are encouraged to complete the online Participant's Skills Inventory available at http://mindproject.co.uk/skillsinventory.html to allow Mind Project and our course tutors to customise the contents of the course depending on the level of participants' knowledge and their areas of interest. The data obtained through the Participant's Skills Inventory will be held fully-confidential and will only be used to provide a quality data analysis training.

• By purchasing a place on one of our courses you agree to the Terms and Conditions available at http://mindproject.co.uk/trainingterms.html. Please read the Terms and Conditions before making a booking.

• The deadline for registrations on this training course is Sunday, 2nd of October 2016 at 18:00 London (UK) time. However, Mind Project reserves the right to end the registration process earlier if all places are booked before the deadline.

Should you have any questions please contact Mind Project Ltd at info@mindproject.co.uk or by phone on 0203 322 3786. Please visit the course website at http://mindproject.co.uk/machine-learning-london-oct16.html. 

Cost:

£570 per person for the whole course (normal fee)
£390 per person for the whole course for UK registered undergraduate and postgraduate students, and representatives of registered charitable organisations (discounted fee)

Website and registration:

http://mindproject.co.uk/machine-learning-london-oct16.html

Region:

Greater London

Keywords:

Mixed Methods, Quantitative Data Handling and Data Analysis, Bayesian methods, Regression Methods, Generalized liner model (GLM), Logistic regression, Poisson regression, Categorical data analysis, Multilevel Modelling , Data Mining, Neural networks, Machine learning, Quantitative Software, R

Related publications and presentations:

Mixed Methods
Quantitative Data Handling and Data Analysis
Bayesian methods
Regression Methods
Generalized liner model (GLM)
Logistic regression
Poisson regression
Categorical data analysis
Multilevel Modelling
Data Mining
Neural networks
Machine learning
Quantitative Software
R

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