Hackforge | Mastering Machine Learning

This free, 18-hour course is meticulously designed to provide a comprehensive introduction to the field of machine learning. Covering essential concepts and algorithms, the course prepares participants to understand and apply machine learning techniques to real-world problems. Through lectures, hands-on sessions, and a series of 8-10 projects, participants will gain both theoretical insights and practical experience.

There are only 12 9 spots left!

EXPECTED OUTCOMES:

• Understand the fundamental concepts and various algorithms in machine learning.
• Apply machine learning techniques to data analysis, prediction, and decision-making.
• Develop and evaluate predictive models using real-world datasets.
• Complete a series of practical projects that demonstrate the application of machine learning skills, working both individually and in teams.
• Enhance online presence and professional networking through guided activities and support.

WHO IT’S FOR:

This course is ideal for university or college students, professionals in the tech industry, and AI enthusiasts who are keen to deepen their understanding of machine learning. It is designed to help participants not only learn but also showcase their skills through online portfolios and networking opportunities.

COURSE SCHEDULE:

• Saturday, July 20, 2024, 12:00 PM to 3:00 PM (Introductory Session)
• Sunday, July 21, 2024, 12:00 PM to 3:00 PM
• Sunday, July 28, 2024, 12:00 PM to 3:00 PM
• Sunday, August 4, 2024, 12:00 PM to 3:00 PM
• Sunday, August 11, 2024, 12:00 PM to 3:00 PM
• Sunday, August 18, 2024, 12:00 PM to 3:00 PM
• Sunday, August 25, 2024, 12:00 PM to 3:00 PM

The Introductory Session will outline the course structure and expectations, and discuss how to make the most of this learning opportunity. This session is a crucial starting point for all participants to understand the course dynamics and prepare for the exciting journey ahead.

REGISTRATION

If you’re interested in participating, please email info@hackf.org.  Further details about enrollment and course materials will be provided in response.