Generative AI applications
LifeLong Mentor
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 |
|---|---|---|
 Jesus Choque Recorder | Anomaly Detection, Artifical Neutral Network, Artificial Intelligence, Artificial Intelligence Ethics, Autoencoder, Bayesian Statistics, Classification, Cluster Computing, Computer Vision, Data Analysis, Data Science, Decision Tree, Deep Belief Network, Deep Learning, Feature Extraction, Generative Model, Gradient Boosting, Knowledge Representation, Linear Regression, Logistic Regression, Machine Learning, Natural Language Processing, Nautural Language Generation, Neutral Network, Pricipal Component Analysis, Python, Python Scikit-Learn, PyTorch, R, Random Forest, Reinforcement Learning, Semi-Supervised Learning, Supervised Learning, TensorFlow, Unsupervised Learning, Word Embedding | |
 Michael Tang AI Researcher | Anomaly Detection, Artifical Neutral Network, Artificial Intelligence, Artificial Intelligence Ethics, Autoencoder, Bayesian Statistics, C++, Classification, Cluster Computing, Computer Vision, Data Analysis, Data Science, Decision Tree, Deep Belief Network, Deep Learning, deeplearn.js, Feature Extraction, Generative Model, Gradient Boosting, Java, Knowledge Representation, Learning to Rank, Linear Regression, Nautural Language Generation, Neutral Network, Pricipal Component Analysis, Python, Python Scikit-Learn, PyTorch, R, Random Forest, Reinforcement Learning, Scala, Semi-Supervised Learning, Supervised Learning, Support Vector Machine, TensorFlow, Unsupervised Learning, Word Embedding | |
 Jamal Henderson Consultant | Data Analysis, Data Science, Generative Model, Python, PyTorch |
