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Certified Machine Learning Specialist - CMLS Course

Introduction and Overview

Machine Learning is moving past the “hype cycle”, with enterprises looking to automate analytics processes in areas like business intelligence and cyber security. In 2020, nearly 8 billion jobs will be created for the Machine Learning experts, generating USD $3 billion in the field of Machine Learning


Machine Learning are composed of multiple technologies and techniques, such as deep learning, neural networks, natural-language processing, which will trigger autonomous systems that can be programmed to operate independently of humans, allowing IT to go deeper and do more.


Certified Machine Learning Specialist – CMLS Course will provide participants with an in-depth knowledge on Machine Learning algorithms, techniques and its application. Participants will also be able to experience first-hand leading open-source technologies such as GOWEKA and SciPy which are implemented by industry leaders such as Google, Oracle, Microsoft etc.


Real-cases and industry scenarios on implementation techniques for Machine Learning will also provide Participants with the necessary skills to apply machine learning method.


  • Data Analyst – Statistics and Mining
  • Data Analyst – Text Analytics
  • Operations Research Analyst
  • Senior Data Analyst- Statistics and Mining
  • Understanding of Machine Learning techniques
  • Explore on Machine Learning Software’s includes GO programming, SciPy and WEKA
  • Decision Tree will be focused and demonstrated.
  • Demonstration of Machine Learning with WEKA
  • Learn the Machine Learning Packages in SciPy
  • Role of GO Programming
Participants are preferred to have min. 2 years of experience in software development, business domain or data/business analysis.
  • Introduction and basic concepts in Machine learning
  • Introduction to Theories used in Machine Learning
  • Supervised learning vs. Unsupervised learning
  • Model selection in Machine learning
  • Role of Weka in Machine Learning
  • Decision Tree and Rule mining using Weka
  • A Brief review on SciPy
  • Random Forest and Markov Decision Process algorithm
  • Google’s Go Programming with k-nearest neighbor’s algorithm
  • C 5.0 based decision tree algorithm
You are required to pass:
Component 1: Written Examination (MCQ)

Component 2: Project Work Component (PWC)

      • Upon passing the course, you will be awarded,

“Certified Machine Learning Specialist, (CMLS)”

        • Certification Body :

Global Science and Technology Forum (GSTF)

How to Register?

Call (65) 6327 0164 or (65) 6222 4695 to enquire about this Certified Machine Learning Specialist training course, or email to training@rapidstart.com.sg

You can Register Online by completing the Online Registration Form. Click here to download the PDF version of the CMLS form – November intake.

CITREP+ Funding is available to Singapore Citizens only (For both company or individual sponsored candidates). Call 6327 0164 for more details.

Have a Group?

Contact us if you have a group of 5 or more who are interested in this course for Group Discount.

In-House Training at Your Office?

Dedicated/Customized In-House Corporate Training is available for a group of 8 or more participants. Call 6327 0164 or email training@rapidstart.com.sg for more details.



No Duration

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