Course name
Machine Learning for Humans (Asynchronous)
Machine Learning for Humans (Asynchronous)
Course Information
Training Provider
Ngee Ann Polytechnic
Course Description
Machine Learning for Humans develops the cognitive capacities in participants on how to think like a data scientist.
- Through the lens of data science, participants will gain a broad overview on the history of data, how to conduct a machine learning project from start to finish, and the practical application of various machine learning models.
- The course breaks down complex data processes and machine learning techniques / models through the visual power of animation, motion graphics, and storytelling.
- The course is presented and explained by experienced data scientists. They will share the concepts used when designing machine learning models for real-world problems.
- Participants will complete scenario-based assessments to ensure that they understand and can apply the techniques taught in the modules.
- Participants are not required to install any software on their computer for this course.
Why You Should Apply
This course provides a broad overview of the knowledge, skills and mental models that data scientists use to frame problem statements, select machine learning models and evaluate those models.
Participants will gain an appreciation of the history of data, how to conduct a machine learning project from start to finish, and the practical application of various machine learning models.
Course Duration
24 hours (estimated)
As this is an asynchronous learning, it allows participants to learn flexibly on their own schedule, within the given timeframe. Lectures, readings, and other learning materials can be accessed and completed at any time (during the given period of access to the course).
Training Mode
Asynchronous e-Learning / Self-paced Online Course
What jobs will it pave the way to?
This introductory course provides a broad overview of machine learning and gives an idea of what data scientists and machine learning engineers work on.
Interested participants can pursue more in-depth learning via Data School, Specialist Diploma in Applied Generative AI or Specialist Diploma in Data Analytics to equip themselves with the skills for job roles such as AI Engineer, Machine Learning Engineer, Data Engineer, and more.
Course Enrolment
Open
Available Subsidies
N/A (Course is free)
Supported by PGSS?
N/A (Course is free)
Learning Outcomes
What You'll Learn
This online course comprises 8 chapters with 20 modules, covering topics like how to conduct a machine learning project from start to finish to basic machine learning techniques. The concept within each module is delivered through an engaging visual presentation using animation and motion graphics, delivered by experienced data scientists.
By the end of this course, participants will be able to:
- Grasp the complexities of big data generated by people and systems
- Learn the data requirements of a problem space
- Discover the steps to conduct a machine learning project from start to finish
- Recognise 10 basic machine learning techniques
- Apply appropriate machine learning techniques for different types of business problems
- Understand how to work effectively with a data expert to implement a machine learning solution
- Comprehend the ethical considerations when implementing a machine learning solution
Entry Requirements
Who Should Enrol?
Grab partners or anyone who wish to gain new knowledge in machine learning and/or interested to be a data scientist.
(Participants need not have any prior knowledge in programming as this in an introductory course. Basic IT Literacy is preferred.)
Course Fees
Full Course Fees
Free
Singapore Citizens aged 40 years old & above
Free
Singapore Citizens aged 39 years old & below
Free