Self-supervised learning in the autonomous industry
Learn2Train
Worldwide AI Hackathon is a flagship event co-hosted by Wow AI and Transatlantic AI eXchange as a part of the WowDAO (the 1st decentralized autonomous organization for the AI community) in which talented teams of students from top global AI universities, as well as developers, data scientists and AI enthusiasts from global corporations meet to join challenges designed by top AI thought-leaders who are AI executives from more than 30 tech giants and large corporations.
All Members
| Name | Skill | Company |
|---|---|---|
 Joanna Driscoll Applied Data Science Student (MIT Professional Education) | Artifical Neutral Network, C++, Classification, Data Analysis, Data Science, Decision Tree, Deep Learning, Artificial Intelligence, Java, Linear Regression, Logistic Regression, Machine Learning, Python, Python Scikit-Learn, Random Forest, Feature Extraction, Neutral Network, Supervised Learning | |
 Aldo Tapia GIS and Remote Sensing specialist | Artifical Neutral Network, Classification, Deep Learning, Machine Learning, Python, Python Scikit-Learn, R | University of La Serena |
 Jacqueline Persha Data Scientist | Artifical Neutral Network, Artificial Intelligence, Classification, Cluster Computing, Data Analysis, Data Science, Decision Tree, Deep Learning, Logistic Regression, Machine Learning, Neutral Network, Python, Python Scikit-Learn, Random Forest, Supervised Learning, TensorFlow, Unsupervised Learning | |
 Armando Garcia Gomez None | Artifical Neutral Network, Artificial Intelligence, Classification, Cluster Computing, Data Analysis, Data Science, Decision Tree, Deep Learning, Linear Regression, Logistic Regression, Machine Learning, Neutral Network, Python, Python Scikit-Learn, Random Forest, Supervised Learning, TensorFlow, Unsupervised Learning | |
 Megan Perry Data Scientist | Artifical Neutral Network, Artificial Intelligence, Computer Vision, Data Analysis, Data Science, Deep Learning, Feature Extraction |
