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Enrichment • Series

AI & Machine Learning Camp

Michael V

Series Details

Sessions

Public Discussion

This series ended on July 5, 2022. All 1:1 and group chats related to this series are disabled 7 days after the last session.

Series Details

About

What? AI is the field of utilizing computers for tasks that require human-like intelligence. Machine learning encompasses algorithms that combine input and output to "teach themselves" how to perform these tasks, without being explicitly programmed to. How? We will begin to learn about AI and its applications, culminating in a walkthrough project with real world applications (visual recognition/deep learning AI). Throughout this course, there will be teacher-led instruction and helpful resources to get you started. Who? This is great for anyone looking to explore AI or start their journey in becoming a machine learning engineer! If you want to be an observer, you are welcome, but you are also welcome to participate in some of the non-mandatory exercises. Prerequisite? None, but I recommend understanding Python for some of the coding examples in the class. Pre-installed Software? None. We will use Google Colaboratory so only a Google Account is needed.

Tutor Qualifications

Over the span of my computer science career, I’ve amassed 22 tech certifications in a wide range of different parts of the field. Several of these certifications are for AI with certified skills in Python, R, Pandas, Machine Learning, Traditional Face Detection, etc. Apart from this, I’ve applied AI in my career, visually analyzing text from consumer data. Nevertheless, I still remember the first days when I started out and how difficult it was to find resources, so I’m happy to welcome any students who are interested in the future of computer science as we know it!

✋ ATTENDANCE POLICY

Each lesson will be consecutive and build on the last one, so try to attend. However, I will post the code and teaching material of each lesson so if you cannot attend, you could always read these resources instead to be ready for the next class. Please give prior notice if you are going to miss any session in order to retain your seat.

Dates

June 21 - July 5

Learners

25 / 30

Total Sessions

5

About the Tutor

I'm excited to be a tutor here!

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Upcoming Sessions

0

Public Discussion

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