Building Machine Learning Projects and Discussing Implications
SAT Score Range
•
3 sessions
•
NW
GJ
SP
+8
About
Today - we are building a digital image classifier that can classify between digits 1-9. Good for public outreach to gain recognition on GitHub. If you are interested - pull up!
This course is for anyone! Please don’t be intimidated and join the classes. They are very interesting and exciting, and it is a great way for you to expand your portfolio. We will work on projects in the near future.
I want to teach people the basic of machine learning and help them understand the power that AI can hold. I feel that AI can have a negative view, especially due to its nature in school academics and the unpredictability of AI, but when understood in the context of its abilities and impact on society, it can be very powerful. I would like younger students to be able to learn about AI quicker so they can see the societal impact AI can create. AI is a tool that can be integrated into all of our interests, so instead of viewing it as one standalone concept, it should be integrated across all interests and passions.
Each week, we will discuss the applications of ML and look at projects that follow the set curriculum in place. I plan to make ML learned not only through a coding point of view, but also through its applications. At the end of the course, I will direct students to resources they can use to make their own applications. By the end of this course, students will be able to create an image classifier that can recognize digits 0 - 9.
Tutored by
Hello! I am passionate about educating others and am in the pursuit of helping others in their journey. I am a junior in high school, I love science and have taken AP Courses such as AP Chemistry, AP Biology, and AP Physics C, and I am a very passionate Android Developer that is certified by Google. I can't wait to help out and tutor in this great cause to genuinely make a positive impact in the community.
✋ ATTENDANCE POLICY
The requirement is that all classes are attended. Please inform from before if you cannot make it!
SESSION 3
3
Dec
SESSION 3
Enrichment
Enrichment
Wed 3:00 AM - 4:00 AM UTCDec 3, 3:00 AM - 4:00 AM UTC
continuing the image classifier