|Training Date :||
|Time :||18 Hour(s)|
|Days :||3 Day(s)|
|Duration :||09:00 – 16:00|
|Fee :||12,000 THB (Excluded Vat 7%)|
|Instructor :||Asst. Prof. Dr.Walisa Romsaiyud|
|Objectives :||In this course provides students with the knowledge and skills to learn Java programming for Machine learning and Statistical learning with Weka library. The course focuses on teaching individuals how to apply Machine learning and Statistical learning in Weka, creating datasets, generating model, training/testing model and evaluating model.|
|Who Should Attend :||This course is designed for an IT professional or developer who wants to get started in the field of Machine learning. Anyone with prior experience with java, data mining or statistical learning world will very quickly feel at ease with WEKA. To get the most out of the course, you should be somewhat familiar with Java. Prior exposure to any of these concepts will be helpful, but not required.|
|Course Outline :||Day1:
Module 1: Machine Learning and WEKA Basics
• What is Machine learning and Weka?
Module 2: Classification
• What is classification and classes?
Module 3: Regression
• What is regression?
Module 4: Datasets for Weka
• Creating ARFF files
Module 5: Features and feature types
• What are features?
Module 6: Model Evaluation
• Interpreting and Refining Results
Module 7: Machine learning with Java and Weka
• Using Weka.jar
Module 8: Use case example: Naïve Bayes in Weka and Java
• Creating a model
Module 9: Use case example: Neural Network in Weka and Java
• Creating a model
|Payment Condition :||Payment can be made by:
1. Cash or Credit Card or Bank Cheque payable to “Software Park Thailand #2” (a post-dated cheque is not accepted) on the first day of the service or within the last day of the service.
2.1 Siam Commercial Bank, Chaengwattana Branch
2.2 Krungsri Bank, Chaengwattana (Software Park) Branch
– Withholding tax (3%) is exempt.
|Contact Person :||For more information, contact our course coordinator on:
Ms. Patsorn Pornthip
Tel: +66-2583-9992 Ext. 1422
You are encouraged to use the course schedule as a guide to plan your training. The schedule is accessible at www.swpark.or.th for more information.
0.00 average based on 0 ratings