Overview
Machine Learning for Humans develops the cognitive capacities in participants on how to think like a data scientist. Through the lens of data science, you 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.
Course Description & Learning Outcomes
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. You will complete scenario-based assessments to ensure that you understand and can apply the techniques taught in the modules. 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, you 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 As this is an asynchronous learning, it allows you to start at any time, learn on your own schedule, within a certain timeframe. Lectures, readings, and other learning materials can be accessed and completed at any time during a given period. You are not required to install any software on their computer for this course.
Recommended Prerequisites
- Basic IT Literacy - You need not have any prior knowledge in programming as this in an introductory course.
Schedule
Date: 01 Mar 2024, Friday
Time: 12:00 AM - 1:15 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Online
Pricing
Course fees: Free