What is Machine Learning?

🌟 What is Machine Learning? 🌟

Course Outcome:

Learners completing this course will be able to:

• Define and explain the types of problems that can be solved by Supervised, Unsupervised, and Reinforcement Learning.

Course Topics and Approach:

Dive into the world of machine learning with an approachable introduction to its three broad areas: Supervised, Unsupervised, and Reinforcement Learning. This course is designed to break down these concepts using clear explanations, enhanced with a variety of plots and animations, ensuring that learners from all backgrounds can grasp the core ideas without delving into heavy mathematics.

Key Features:

• Python Demos: Engage with practical examples through Python demos that bring machine learning concepts to life. These demos are designed to be accessible to beginners, with no prior knowledge of Python or programming required.
• Resources Galore: The course provides a wealth of resources, including datasets, software packages, and downloadable materials such as course codes and PowerPoint presentations.

Course Audience:

This course is for EVERYBODY!!! Whether you're a:

• Student looking to understand machine learning fundamentals.
• Professional aiming to add machine learning skills to your resume.
• Hobbyist curious about the field of AI and its applications.
• Absolute beginner with no prior experience in machine learning or programming.

Teaching Style and Resources:

The course adopts a visual approach to teaching, leveraging:

• Examples with Plots and Animations: To help students visualize complex concepts and data structures.
• Github Site Access: All resources, including code, presentations, and additional learning materials, are available for download on our dedicated course Github site.

Python Demos:

Get hands-on experience with machine learning through:

1. Google Colab: Run demos online without any downloads, using a Google account.
2. Anaconda Platform: Install the free community version and run codes on your local machine. A demo video guides you through the process.
3. Standard Python Setup: For those who already have Python installed, follow along with ease.

2021.09.28 Update:

• Code Updates: The course materials have been updated to ensure compatibility with recent versions of Anaconda and the plotting package.

Embark on your machine learning journey today and unlock the potential of data! 🚀📊✨