Fundamentals of Machine Learning

  • ITAI03
  • Classroom
  • Fundamental
  • Thai | 0
AI & Data Technology

A practical training workshop on the concepts, theories, and implementations of machine learning techniques and tools for applying to real-world problems

Course description

Time
Days :
4 Day(s)
Duration :
24 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
14 June 2022 - 17 June 2022
Status :
Class end / Close
Instructor
Language :
Thai
Venue
Venue :
ห้องอบรม ชั้น 3 อาคารซอฟต์แวร์พาร์ค
Type :
Classroom
Fundamentals of Machine Learning

A practical training workshop on the concepts, theories, and implementations of machine learning techniques and tools for applying to real-world problems. Topics include an introduction to data science and machine learning, traditional machine learning techniques, statistical pattern recognition approaches in machine learning, and artificial neural networks, with an overview of deep learning techniques.

PREREQUISITE : Basic Python or programming skills, and Basic mathematics + statistics (if any)

Lesson 1 Data Science & Machine Learning (6 hours)
  1.1. Types & anatomy of data
  1.2. Exploring data
  1.3. Data filtering & transformation
  1.4. Dimensionality reduction
Lesson 2 Traditional Machine Learning Techniques (6 hours)
  2.1. Concept learning & inductive learning hypothesis
  2.2. Decision tree learning
  2.3. Bayesian learning
  2.4. Nearest-neighbours algorithms
Lesson 3 Statistical Pattern Recognition (6 hours)
  3.1. Radial basis functions & kernel-based approaches
  3.2. Support vector machines
  3.3. Cluster analysis & unsupervised learning
  3.4. Linear models & regression problems
Lesson 4 Artificial Neural Networks (6 hours)
  4.1. Perceptrons
  4.2. Stochastic gradient descent algorithm
  4.3. Backpropagation & multi-layered networks
  4.4. Deep learning architectures & applications

Payment can be made by:

  1. Cash or Credit Card or Bank Cheque payable to
    สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ or National Science and Technology Development Agency
    (a post-dated cheque is not accepted) on the first day of the service or within the last day of the service.

  2. Account transfer and send the proof of the payment (the deposit slip) via email tes@swpark.or.th

    • ธนาคารกรุงเทพ สาขาอุทยานวิทยาศาสตร์
      Saving Account Number: 080-0-00001-0
      Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ

    • ธนาคารกรุงไทย สาขาตลาดไท
      Saving Account Number: 152-1-32668-1
      Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ

Notes:

  • Withholding tax (3%) is exempt.
  • Should you need to withdraw, you must send the notice of the withdrawal in writing no later than 7 working days before the commencement date. The cancellation less than 7 days will be subject to a fine of 40% of the fee.
  • Software Park Thailand reserves the rights to cancel courses due to unforeseen circumstances.

Contact Person

For more information, contact our course coordinator on:

Tel: +66-2583-9992 Ext. 81442-81443

Email:  tes@swpark.or.th

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. 

8,800 THB .

ราคา: 9,416 บาท (รวมภาษีมูลค่าเพิ่ม 7% แล้ว และได้รับการยกเว้นไม่ต้องหักภาษี ณ ที่จ่าย 3%)

Enroll nowขออภัย คลาสนี้สิ้นสุดและขอปิดรับลงทะเบียน

Course Detail :
Days :
4 Day(s)
Duration :
24 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
14 June 2022 - 17 June 2022
Status :
Class end / Close

Instructor info
avatar
Mr.Tapanan Yeophantong

Assistant Dean for External Affairs