Math and Statistics for Machine Learning

  • ITAI02
  • Classroom
  • Fundamental
  • Thai | 0
AI & Data Technology
Print

ปูพื้นฐานคณิตศาสตร์และสถิติ สำหรับ Machine Learning

Course description

Time
Days :
2 Day(s)
Duration :
12 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
11 May 2022 - 12 May 2022
Status :
Class end / Close
Instructor
Name :
avatar
Mr.Tapanan Yeophantong

Assistant Dean for External Affairs
Language :
Thai
Venue
Venue :
ห้องอบรม ชั้น 3 อาคารซอฟต์แวร์พาร์ค
Type :
Classroom
Math and Statistics for Machine Learning

A training workshop on the mathematical fundamentals required for understanding data science and machine learning techniques. Designed for individuals intending to pursue knowledge in the fields, topics include basic probability theory, understanding expectations and random processes, cluster analysis and linear modelling using standard tools in statistics.

บุคคลทั่วไปที่สนใจด้าน AI

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

Lesson 1 Basic Probability Theory
  1.1. Probabilities & Probability Spaces
  1.2. Conditional Probabilities & Bayes Theorem
  1.3. Random Variables & Probability Distributions
  1.4. Multivariate & Joint Probability Distributions
Lesson 2 Expectations & Random Processes
  2.1. Means, Variances & Covariances
  2.2. Understanding Random Processes & Convergence
  2.3. Confidence Intervals
  2.4. Hypothesis Testing
Lesson 3 Cluster Analysis
  3.1. Overview of Cluster Analysis
  3.2. Simple Hierarchical Clustering
  3.3. K-Means
  3.4. Evaluating Clusters: Impurity & Silhouette Scores
Lesson 4 Linear Models
  4.1. Overview of Regression Models
  4.2. Parametric & Non-parametric Estimation
  4.3. Ordinary Least Square (OLS) Estimation
  4.4. Evaluating Regression Models: MSE & R2

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 ttd@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. 

4,500 THB .

ราคารวม VAT7% 4,815 บาท 

Enroll nowขออภัย คลาสนี้สิ้นสุดและขอปิดรับลงทะเบียน
Course Detail :
Days :
2 Day(s)
Duration :
12 Hour(s)
Time :
09:00:00 - 16:00:00
Training Date :
11 May 2022 - 12 May 2022
Status :
Class end / Close
Instructor info
avatar
Mr.Tapanan Yeophantong

Assistant Dean for External Affairs