AI4ALL: Basics in Convolutional Neural Network
- No prior programming experience needed. You will learn directly in this class.
This course is created to follow up with the AI4ALL initiatives. The course presents coding materials at a pre-college level and introduces a fundamental pipeline for a neural network model. The course is designed for the first-time learners and the audience who only want to get a taste of a machine learning project but still uncertain whether this is the career path. We will not bored you with the unnecessary component and we will directly take you through a list of topics that are fundamental for industry practitioners and researchers to design their customized neural network model.
This instructor team is lead by Ivy League graduate students and we have had 3+ years coaching high school students. We have seen all the ups and downs. Moreover, we want to share these roadblocks with you. This course is designed for beginner students at pre-college level who just want to have a quick taste of what AI is about and efficiently build a quick Github package to showcase some technical skills. We have other longer courses for more advanced students. However, we welcome anybody to take this course!
For full series of machine learning and deep learning topics, please view our other more in-depth courses at WYN Associates Education.
Who this course is for:
- Pre-college level students interested in neural network models
Yiqiao Yin holds an M.A. in statistics from Columbia University, an M.S. in finance from the University of Rochester, and a B.A. in mathematics from the University of Rochester. He has been a PhD student at Columbia University from 2020 to 2021. He is now working as a Senior Data Scientist at an S&P 500 company.
His research interests include feature learning and representation learning, deep learning, computer vision (CV), natural language processing (NLP), and reinforcement learning (RL). He has held professional appointments as an enterprise-level data scientist at Bayer Crop Science, a quantitative researcher at AQR working on alternative quantitative approaches to portfolio management and factor-based trading, and a trader at T3 Trading on Wall Street. Yiqiao was an instructor at Trilogy Education, supervises a small fund specializing in algorithmic trading, and runs his own YouTube Channel in which he discusses topics in data science, machine learning, and artificial intelligence.