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Machine Learning Fundamentals

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gowranga
Last Update September 25, 2024
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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

Understand the key algorithms used in machine learning and their applications.
Differentiate between supervised, unsupervised, and reinforcement learning.
Explore different machine learning techniques in live demos.
Apply statistical methods to analyze and interpret data in the context of machine learning.
Evaluate machine learning models and understand the principles of performance metrics.

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

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gowranga

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