Machine Learning in Practice

This course covers the fundamentals of machine learning principles and practices. Supervised and unsupervised learning, neural networks and deep learning will also be covered.

Who should attend

Target Participants

Individuals who are interested in learning about the basic concepts of Machine Learning and Deep Learning.

Entry Requirement

Participants should have an ICT related diploma or related work experience in the field of IT.

For course details, click here.

Course Outline

  1. Introduction to Machine Learning
  2. Supervised Machine Learning
  3. Practical exercises on supervised learning using Python
  4. Unsupervised Machine Learning
  5. Practical exercises on unsupervised learning using Python
  6. Fundamentals of Neural networks and Deep Learning 

 

Certification

Participants will be issued with a Certificate of Accomplishment upon meeting 75% of the required course attendance. 

Trainers' Profile

Enquiries & Application

Submit on-line application via:
https://bluesky.tp.edu.sg/PTOAS.aspx
(Please select Course Code:  ZGE)

Temasek SkillsFuture Academy
Temasek Polytechnic
East Wing Block 1A, Level 3, Unit 81
21 Tampines Avenue 1
Singapore 529757

Opening Hours
8.30 am to 7.00 pm (Mon to Fri)
Closed on Sat, Sun & Public Holidays

Contact Details
6788 1212
tsa@tp.edu.sg
  http://www.tp.edu.sg/tsa

Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.