Introduction to Rapidminer

Date:
15 Mar 2023 | 9am-5.30pm | Online (Professional Certificate in Machine Learning for Business)

Duration: 1 Day

Course Overview

Rapidminer is one of the most popular Machine Learning and Data Analytics environments in the market. Thanks to its newly introduced features, users can do basic to advanced machine learning in Rapidminer. Its free version also allows users to experience rather professional machine learning algorithms deployment. This course introduces Rapidminer and its basic features to learners. Learners will practice basic data analytics and machine learning functions of Rapidminer too.

This module is part of Professional Certificate in Artificial Intelligence and Machine Learning Basics and Professional Certificate in Machine Learning for Business.

Course Objectives

To introduce Rapidminer and its different features and options inside the Rapidminer environment. To enable learners to design and implement machine learning systems using Rapidminer and to evaluate and test these systems.

Who Should Attend

Machine Learning Developers, Python Developers

Prerequisites

Basic AI and Machine Learning Knowledge

Course Conveners

(Click their photos to view their short biographies)

ddddd Ai Xin

Dr Ai XinDr Ai Xin

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register for Professional Certificate in Artificial Intelligence and Machine Learning Basics, click Register

To register for Professional Certificate in Machine Learning for Business, click Register

Course Code:
TGS-2022012249 (Classroom Learning)
TGS-2022012285 (Synchronous e-learning)

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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