LEARNINGMACHINE

HOW TO THINK LIKE A DATA SCIENTIST

FOR HUMANS:An online course on Machine Learning for the everyday person

Machine Learning for Humans develops the cognitive capacities in participants on how to think like a datascientist. Through the lens of data science, participants will gain a broad overview on the history of data, howto conduct a machine learning project from start to finish, the practical applications of various machine learningmodels and the ethical considerations required when implementing machine learning solutions.

ABOUT THE COURSE

MACHINE LEARNING IN EVERYDAY TERMSThe course breaks down complex data processes and machine learning techniques / models into simple bite-sized concepts through the visual power of animation, motion graphics, and storytelling.

SCENARIO-DRIVEN ASSESSMENTParticipants will complete scenario-based assessments to ensure that they understand and can apply the techniques taught in the modules.

EXPLAINED AND PRESENTED BY EXPERTSThe course is presented and explained by experienced data scientists. They will share the concepts used when designing machine learning models for real-world problems.

UNIQUE FEATURES OF THE COURSE

JANET UYAsean Lead

Data Scientist, Oracle Singapore

RITCHIE NGChief AI Officer, Ensemble Capital

ELAINE LIEWData Scientist,

GovTech Singapore

KENNETH SOOCo-Author,

"Numsense! DataScience for the Layman"

FEATURED EXPERTS

PRESENTED BY IN PARTNERSHIP WITH

TechnologyFinanceEducation LogisticsHealthcare

The programme is designed for a wide range of professionals who are keen to understand how Machine Learning is changing and disrupting businesses. This online course will be of interest to professionals whodeal with data on a day-to-day basis and wish to understand how data can be leveraged for smarterbusiness decisions.

IS THIS PROGRAMME FOR YOU?

INDUSTRIES

This online course comprises 8 chapters with 20 modules, covering a wide spectrum of topics like how toconduct a machine learning project from start to finish to basic machine learning techniques. The conceptwithin each module is delivered through an engaging visual presentation using animation and motion graphics,delivered by experienced data scientists.

The Rise of a Data-Driven World1

How to Conduct a MachineLearning Project [Part 1]2

How to Conduct a MachineLearning Project [Part 2]3

How Machines Predict Values4

How Machines Predict Categories5

How Machines Predict Relationships6

Advanced Modeling Techniques7

Key Considerations whenMachines Learn8

COURSE STRUCTURE

• 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

Participants will be able to:

This course provides a broad overview of the knowledge and skills that data scientists use to frame problemstatements, select machine learning models and evaluate those models.

LEARNING OUTCOMES

WHAT YOU WILL GET OUT OF THIS COURSE

For more enquiries, email us at mlfh_support@np.edu.sgor visit our website at mlforhumans.sg

Upon completion of the course, participants will receive a Certificate of Completion issued by Ngee Ann Polytechnic.

PRESENTED BY IN PARTNERSHIP WITH