Introducing Machine Learning with WEKA |
![]() |
Categories : AI & Data Technology |
Posted by : patsorn | Posted On : Monday, 09 December 2019 11:22 | |
Training Date : |
21 December 2022 - 23 December 2022
21 September 2022 - 23 September 2022 ![]() สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน 15 June 2022 - 17 June 202216 March 2022 - 18 March 2022 09 June 2021 - 11 June 2021 17 February 2021 - 19 February 2021 01 September 2020 - 30 September 2020 08 April 2020 - 10 April 2020 Please Login before registering . No account ? signup here กรุณา ล็อกอิน ก่อนลงทะเบียน หรือสร้างบัญชีผู้ใช้ใหม่ได้ ที่นี่ |
Time : | 18 Hour(s) |
Days : | 3 Day(s) |
Duration : | 09:00 - 16:00 |
Fee : | 12,000 THB (Excluded Vat 7%) |
Language : | Thai |
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 Module 2: Classification Module 3: Regression Day2: Module 4: Datasets for Weka Module 6: Model Evaluation Day3: Module 7: Machine learning with Java and Weka Module 8: Use case example: Naïve Bayes in Weka and Java Module 9: Use case example: Neural Network in Weka and Java |
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 Notes: |
Contact Person : | For more information, contact our course coordinator on: Ms. Patsorn Pornthip Tel: +66-2583-9992 Ext. 1422 Fax: +66-2583-2884 Email:patsorn@swpark.or.th, ttd@swpark.or.th
|