REGISTER NOW
Transform your career with European Global Varsity!
BOOTCAMP:
Decoding the Future: Machine Learning Frontier
Learn Machine Learning with our expert faculty with Prof. Dr. Andreas Gkontzis.
We ensure we offer quality education with in-depth studies with doctoral faculty.
Book the date: 25th Jan 2024, 4-7 PM IST/ 11:30 AM - 2:30 PM CET
Fee: Free of Cost
Key details
- Duration: 3 Hours
- Credits: Certificate of Attendance
- Language: English
- Mode: Live on E-meeting link
LinkedIn Shareable Certificate
Earn a verifiable certificate from European Global Varsity, Malta and proudly share certificate on your LinkedIn and be our Alumni.
What will you learn?
Learning Outcomes
Introduction to the Course
“A breakthrough in Machine Learning would be worth 10 Microsofts”
Bill Gates!
Course Content
- Welcome and Icebreaker: Let’s kick things off with a warm welcome! Take a moment to introduce yourself and share your interests.
- Overview of Machine Learning: I’ll provide you with a simple, non-technical explanation of what machine learning is and how it impacts our daily lives.
Session 1: Understanding Machine Learning (30 minutes)
- Let’s dive into the basics. I’ll explain what machine learning is and give examples to make it easy to grasp.
- We’ll explore the different types of machine learning, like supervised, unsupervised, and reinforcement learning.
- Ever heard of no-code ML tools like Google AutoML or IBM Watson Studio? I’ll show you how to use them without any coding.
- I’ll demonstrate creating a simple model or analysis using one of these tools.
Short Break (10 minutes)
- Time to take a breather! Stretch, grab a snack, and get ready for the next session.
Session 2: Hands-On Activity (45 minutes)
- Let’s talk about virtual labs and why they matter in learning. I’ll introduce a pre-built virtual lab environment for machine learning tasks.
- You’ll get hands-on experience with a no-code tool we discussed earlier.
- I believe in learning by doing. We’ll discuss a mini-project related to a real-world problem.
- I’ll provide you with data and guide you through applying the tools to gain insights.
Discussions and Conclusion (35 Minutes)
- Time to share experiences! We’ll discuss the challenges you faced during the hands-on activity and address any questions.
- I’m curious to hear your thoughts on the potential applications of machine learning in different industries.
- Let’s wrap things up. I’ll summarize the key takeaways from our time together.
- I’ll share additional resources for those eager to learn more and suggest joining a community or forum for ongoing support.
- Thank you all for your engagement! If you have further questions, here’s how you can reach out.
- I’d love to hear your feedback for future improvements.
About European Global Varsity (30 Minutes)
- Our foundation
- Accreditations
- Partners
- Didactic Model
- Online programs
- On-campus programs
- Hybrid programs
- Thank you all for your engagement! If you have further questions, here’s how you can reach out.
- We would love to hear your feedback for future improvements.
About Dr. Andreas Gkontzis
Dr. Andreas Gkontzis is an accomplished professional with a background in Electrical Engineering and extensive academic achievements. His postgraduate studies at the University of Patras focused on Science and Technology, where his research pioneered the use of information technology and big data analytics to control shape memory alloys in smart matrix composites.
In a 5-year research stint in Information Systems, Dr. Gkontzis earned his Ph.D. with a dissertation titled "A Big Data Scale Analysis Framework to Support Adaptive and Personalized Learning Environments." This groundbreaking research aimed at developing data mining, machine learning, artificial intelligence and big data analytics frameworks for adaptive learning. His work reduced attrition, engaged tutors, and enhanced the learning process.
For four years, Dr. Gkontzis represented the
Municipality of Patras in the Innovation and Best Practices Network of the Ministry of the Interior of Greece, showcasing his commitment to driving positive change and contributing valuable insights nationally. His versatile expertise spans academia, research, and practical applications, making his work a valuable asset in any professional setting.
