* 23 - 24 Jul 2025 (Wed - Thu) F2F in Penang!
* Understand and Implement Machine Learning to enhance your Business Intelligence!
* Free for SMEs, as part of the RiSE4WRD 2.0 initiative by HRD Corp to support SMEs!

Hurry! Seats are limited, contact us to reserve your seats soon (up to 6 pax per company):
Contact us: [email protected] or [email protected]
or Call /WhatsApp Ken +6016 4188 109 (We will respond within 24 hours)

A rapidly-growing field within Artifical Intelligence, Machine Learning allows machines to learn from huge volumes of complex data and self-improve. It powers technologies like recommendation engines, facial recognition, fraud protection, self-driving cars and more.

Market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022. Demand for Machine Learning (ML) engineers will soar 60% by 2020. (Source: MarketandMarkets)

Course Overview

In this course, we introduce the field of machine learning and describe the well-known processes, algorithms, and tools for one to be a successful machine learning practitioner.

This course will help to build skills in data acquisition and modeling classification, and regression. In addition, one will also get to explore very important tasks such as model validation, optimization, scalability, and real time streaming.

Prerequisites

Anyone working with Business Intelligence and Data Analysis.

Who Should Attend

Anyone who is keen to learn to learn more in-depth about Machine Learning and the real applications of Machine Learning for Business Intelligence today.

Exam Format

Students will be given a Certificate of Attendance after successfully completing the course.

Course Objectives

• Introducing the basic concepts and practical applications of Machine Learning algorithms.
• Providing students with the capabilities to: (i) identify the long-term impact of machine learning to businesses; (ii) apply machine learning algorithms to their own real-world problems.

Learning Outcomes

Students will be able to:

• Explain machine learning concepts & describe applications of well-known machine learning algorithm
• Apply machine learning techniques to a list of practical problems