Machine Learning Fundamentals
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About This Course
Machine Learning Fundamentals offers an in-depth exploration of machine learning, focusing on its different types of learning, and the statistical foundations that underpin these techniques. Students will learn about supervised and unsupervised learning, model evaluation, and the application of statistical methods to machine learning problems. This course is designed to equip students with the knowledge needed to understand and apply machine learning practices effectively.
Learning Objectives
Pre-requisites
- Familiarity with basic programming concepts, probability, and statistics.
- Completion of "Introduction to AI (Beginner)" or equivalent knowledge.
- Access to a programming environment.
- A free ChatGPT account
Target Audience
- Students pursuing degrees in tech or AI
- Individuals seeking to get more familiar with overall AI concepts
- IT professionals looking to expand their skills
- Data Scientists and analysts
- Researchers
- Cybersecurity specialists
- Game developers and designers
Your Instructors
