Module 2 - Statistical Mastery for Machine Learning and Artificial intelligence (AI) Success
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023021235
S$720
Original: S$2,400
Save S$1,680
About This Course
This module builds a strong foundation in statistical concepts essential for powering machine learning and artificial intelligence applications. Participants will learn how to apply descriptive and inferential statistical techniques to real-world datasets, ensuring data integrity and actionable insights. By addressing critical topics such as data distribution, hypothesis testing, and bootstrapping, this module equips participants with the skills needed to handle data variability, identify patterns, and make informed decisions for Artificial Intelligence success. The focus is on practical applications, allowing participants to bridge the gap between theory and real-world problem-solving.
What You'll Learn
In this 2-day course, participants will learn
• Apply descriptive and inferential statistics to summarise and interpret datasets.
• Use probability distributions to understand and model real-world phenomena.
• Perform hypothesis testing to validate data-driven decisions.
• Address data analysis violations such as biases and assumptions.
• Data techniques to handle small or misbehaving datasets.
• Apply descriptive and inferential statistics to summarise and interpret datasets.
• Use probability distributions to understand and model real-world phenomena.
• Perform hypothesis testing to validate data-driven decisions.
• Address data analysis violations such as biases and assumptions.
• Data techniques to handle small or misbehaving datasets.
Entry Requirements
Nil
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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