Intermediate Data Mining and Predictive Analytics
Thursday, May 15, 2014 at 9:00 AM - Friday, May 16, 2014 at 5:00 PM (EDT)
Camberley, Surrey, United Kingdom
San Francisco, California
London, United Kingdom
Intermediate Data Mining and Predictive Analytics with RapidMiner
Thursday, May 15th and Friday, May 16th from 9 am to 5 pm
A light breakfast, lunch, and afternoon snacks will be provided.
Be sure to check out our Introduction to Data Mining and Predictive Analytics course being held in the same location on May 13 and 14. Register for both at the same time to get a special discount.
Class size for this event is limited to 10 students. If the class is sold out and you wish to be added to a waiting list, please contact the event organizer.
This training is a second two-day course, exploring additional possibilities of performing data mining and business analytics with RapidMiner Studio and RapidMiner Server. After successfully completing this course, participants will have an increased understanding of how RapidMiner software works and is used. The participants will be able to prepare data and create predictive models in standard data environments typically found within most analyst positions, as well as in many more uncommon environments.
Practical exercises during class prepare the participants to transfer the knowledge gained and apply it to their own data mining problems, solving them more quickly and easily. Since the class labs are hands-on, performed on the students' own laptops, the students will be taking their actual classwork home with them to jumpstart their application to the real world.
After the training, students will have the ability to:
- perform the most necessary and common data preparations
- build sophisticated predictive models
- evaluate model quality with respect to different criteria
- deploy data mining models
- Target audience: users, analysts, developers, administrators
- Previous knowledge: Introduction to Data Mining and Predictive Analytics or equivalent
- Methods: lectures, discussions, individual and group work, exercises on realistic data.
Participants may introduce their own work and project specific questions in order to find particular solutions together with the trainer and other participants. The training course addresses beginners and intermediate learners.
- Data Preparation
- Changing value types by discretization and dichotimization
- Balancing data
- Detection and removal of outliers
- Dimensionality reduction
- Predictive Models
- Neural Networks
- Logistic Regression
- Meta Learning: Bagging and Boosting
- Model Evaluation
- Advanced performance criteria
- Comparison between models
- Significance tests
- Validation of preprocessing and preprocessing models
- Scaling confidences
- Filter uncertain predictions
- Sharing data, models, and processes
- Exporting processes as web service
- Basics of report creation
- Managing processes and services
You must bring a laptop to class (Windows, Mac or Linux OS). For Windows, Java Runtime Environment (JRE) version 7 is required. For Mac and Linux, Java Development Kit (JDK) version 7 is needed. Students will be provided with links to install RapidMiner Studio 6 prior to the class.
Sebastian Land blends his theoretical and practical knowledge of Advanced Analytics as the Head of Customer Technical Services for RapidMiner. In this role, he combines his experience as one of the programmers of the software itself with his years working with clients to maximize their results using RapidMiner.
Training Facility Logistics
The training will be held in Camberley, Surrey, UK at the RapidMiner UK offices outside central London. For air, auto, and public transport directions, please click here and scroll to the UK Office.
Classes require a minimum of 3 students by May 7 to be held. If there are insufficient registrants, the class may be cancelled and all students will be refunded the full registration fee. Students should organize their travel arrangements accordingly and with this proviso. RapidMiner will promptly notify registered users as soon as the 3 students quota will be met. (Note: this class is near capacity and will definitely run.)
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Our Refund Policy: Plans change? We get it. But if you can't make it to the class, please email us at firstname.lastname@example.org no later than May 7. No refunds will be given after this timeframe.
When & Where
Pioneering advanced analytics vendor RapidMiner is redefining how business analysts use data to predict the future. With an open source heritage, RapidMiner is one of today’s most widely known and used predictive analytics platforms, providing powerful solutions for a wide variety of industries.
RapidMiner focuses on the fields of predictive analytics, data mining, and text mining. The discovery and leverage of unused business intelligence from existing data enables better informed decisions and allows for process optimization.
RapidMiner serves customers globally from offices in the United States, Germany, Hungary and the United Kingdom. Furthermore, our network of partners can support your data analysis projects using RapidMiner software products.