ML (Machine Learning)-Ready

Training Provider: Republic Polytechnic
Course Reference: TGS-2023035235
N/A

About This Course

Making data-driven decisions is the difference between keeping up with the competition or falling further behind. Machine learning may help unlock the value of corporate and consumer data and make decisions that keep a firm ahead of the competition. It can also be used for predictive maintenance, sales forecasting, supply optimisation, personalised recommendation, and many more.

The course, ML (Machine Learning)–Ready, will be conducted in two phases:
• Phase 1: Over two days, you will gain the foundational skills and knowledge required to get started with machine learning development. Explore the various machine learning techniques, share use cases, prepare machine learning-ready data, perform modelling and prediction. This phase introduces behavioral analysis to enhance your understanding of data patterns and trends.

• Phase 2: In this two-day session, you will be focusing on project development facilitation. You will form project groups of one to four participants with a real project use case , incorporating predictive screening for data-driven insights. A mentor will be assigned to facilitate the engagement of the project.

Laptops will be provided for the duration of the course.

What You'll Learn

Making data-driven decisions is the difference between keeping up with the competition or falling further behind. Machine Learning can be the key to unlocking the value of corporate and customer data and enacting decisions that keep a company ahead of the competition. This technology can be used for predictive maintenance, sales forecasting, supply optimization, personalised recommendation and many more.

This applied learning workshop has two phases. Phase 1 (2 days) prepares participants with the foundational skills and knowledge required to get started with machine learning development. In this phase, we explain the various machine learning techniques, share use cases, prepare machine learning-ready data, perform modelling and prediction, followed by hands-on lab exercises.

Phase 2 (2 days) focuses on project development facilitation. Participants will form project groups of 1 to 4 participants with a real project in-hand. And a mentor will be assigned to facilitate the engagement of the real project amongst project participants.

Entry Requirements

Proficiency in English

Course Details

Duration 32 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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