AI SERIES 102 : Fundamental of Machine Learning

สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน

สนับสนุนโดย

• 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

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. Account transfer and send the proof of the payment (the deposit slip) via fax or email to fax no. 02-583-2884 or email ttd@swpark.or.th

2.1 Siam Commercial Bank, Chaengwattana Branch
Saving Account Number: 324-2-56262-0
Account Name: Software Park Thailand#2

2.2 Krungsri Bank, Chaengwattana (Software Park) Branch
Saving Account Number: 329-1-34850-3
Account Name: Software Park Thailand#2

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.

Ms. Merinya Punsoun (Paeng)

Tel: +66-2583-9992 Ext. 1443

Fax: +66-2583-2884

Email: Merinya.pun@nstda.or.th , cc jirawan@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.