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Unlocking the Magic of Machine Learning with a User-Friendly Interface

Workshop/ Training/ Webinar

Summary

Date: 6 Nov 2024 (Wed)

Time: 14:30 - 16:30

Venue: M403 / Online

Target Audience: All students

Medium of Instruction: English

 

What You Will Learn

  1. Gain a clear understanding of the basics of Machine Learning and its applications in various domains.
  2. Explore fundamental concepts of Machine Learning, including supervised and unsupervised learning, without the need for coding.
  3. Learn about different types of Machine Learning algorithms and their purposes.
  4. Gain insights into the process of training and evaluating Machine Learning models.

 

Agenda

1. Introduction to Machine Learning and its Applications

- Real-world applications of Machine Learning in different domains

 

2. Fundamentals of Machine Learning

- Understanding supervised and unsupervised learning concepts
- Exploring key components: features, labels, and datasets
- Introduction to training, testing, and validation of models
 

3. Types of Machine Learning Algorithms

- Overview of popular algorithms: regression, classification, clustering
- Explanation of their purposes and use cases

 

4. Training and Evaluation of Machine Learning Models

- Process of training a model using data
- Techniques for evaluating model performance and accuracy
- Introduction to metrics like accuracy, precision, recall, and F1 score

 

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