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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.


  • Learn the fundamentals of AI and machine learning and how it could impact your work through several real-life use case
  • Understand Machine Learningtechniques/method: Supervised, Unsupervised & Reinforcement Learning through hands-on examples
  • Learn key ML concepts like Principle Component Analysis (PCA), Hyperparameter tuning, Clustering, Classification, Regression, Neural Network etc.
  • Get skilled in popular machine learning algorithms using Python Programming ( SckitLearn, TensorFlow ) , Weka, RapidMiner
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
70 -100 % CITREP+ Funding available. Conditions Apply!

How to Register?

To enquire about this Certified Machine Learning Specialist training course, email to


You can Register Online by completing the Online Registration Form.


CITREP + Funding is available to Singapore Citizens only (For both company or individual sponsored candidates).


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. We have conducted this training in Singapore, HongKong and India. Email for more details.