An Introduction to Code-Free Machine Learning

This course is delivered by Republic Polytechnic and jointly developed by Republic Polytechnic and GovTech’s Data Science & AI Division (DSAID).

For many, learning to code has always been the first and biggest obstacle into the world of computer science. Many people run into the hurdle of writing a simple line of code, much less developing a useful artificial intelligence (AI) programme that can help them predict their customers’ preferences and recommend a suitable product that meets their needs.

With the recent advancements in AI and machine learning, the world is entering into a code-free era where you can create your own programme without writing a single line of code! Using a variety of code-free machines, you can teach machines to learn and apply helpful knowledge to solve everyday problems on their own. These code-free machines often come in guided platforms, offering classic drag-and-drop functionality to fully automated machine learning services suitable for beginners and Machine Learning professionals.

In this one-day hands-on workshop, you will learn to create many excellent programmes ranging from training an object detector to building a topic predictor with no code at all. Plus, there will be opportunities to try out  out DSAID’s code-free AI products such as the Video Analytics System, GovText and Transcribe.

At the end of this course, the participants will gain a deeper understanding and practical knowledge on the following topics:

• Provide an overview of Machine Learning
• Present Machine Learning workflow
• Solve a regression problem
• Train an Object Detector
• Perform topic modelling
• Transcribe an audio file to text
• Identify and apply AI at work

This course is designed for anyone with a keen interest in making full use of data to make useful predictions.

Prerequisites
Participants should be IT-savvy and comfortable with performing basic software setup and configuration. Although no prior knowledge in AI is required, participants should have a basic understanding and appreciation of AI.

• Machine Learning

• Computational Scientist
• AI Engineer

• Part 1: Machine Learning
  • Articulate the fundamentals of Machine Learning
  • Describe the Machine Learning workflow
  • Hands-on activity to solve a regression problem on a cloud platform
• Part 2: Computer Vision
  • Articulate the fundamentals of Computer Vision
  • Describe the purpose and process of Transfer Learning
  • Hands-on activity to perform object detection on GovTech’s Video Analytics System
• Part 3: Natural Language Processing
  • Articulate the fundamentals of Natural Language Processing
  • Hands-on activity to perform topic modelling on GovTech’s GovText platform
  • Hands-on activity to perform speech-to-text on GovTech’s Transcribe platform
• Part 4: Code-free AI development
  • Case study AI applications from use cases in Government
  • Propose use cases from work where AI is applicable