AI Hackathon - Knowledge Graph Council & National Science Foundation
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Before you apply
LocationRemote, United States - Remote
Work moderemote
DepartmentKnowHax
Company size1+ people
PostedOct 4, 2024 · 2y ago
Verified live3h ago
May no longer be actively hiring
Posted by the company on Oct 4, 2024
At a glanceSummarised by Seekless from the posting.
Machine Learning & Deep Learning: Understanding algorithms, model training, and optimization
Data Science & Analytics: Skills in data collection, cleaning, processing, and visualization
Programming proficiency in languages such as Python, R, JavaScript, C++, Core Java, and Frontend Frameworks such as React, Vue, and Angular
Familiarity with AI Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
Natural Language Processing (NLP): text analysis, sentiment detection, and language models
Computer Vision: Understanding of image recognition, object detection, and image classification
Knowledge of Cloud Platforms: Experience with AWS, Google Cloud, or Azure for deploying AI models
APIs & Integrations: Ability to connect AI models to external applications through APIs
Data Visualization: Skills in presenting data insights through visual tools like Matplotlib, D3.js, or Tableau
Problem-Solving
Collaboration & Teamwork
Communication
Creativity
Adaptability
Skills
Python
R
JavaScript
C++
Core Java
React
Vue
Angular
TensorFlow
PyTorch
Keras
Scikit-learn
AWS
Google Cloud
Azure
Matplotlib
D3.js
Tableau
Artificial Intelligence - Hackathon - Knowledge Graph Council & National Science Foundation
November 7th - 24th 2024
US - Remote
About the role
Are you ready to help solve society’s most pressing challenges using data, knowledge, and AI?
This November, KnowHax, the Hackathon platform selected by The National Science Foundation (NSF) and Knowledge Graph Conference (KGC), will host challenges in partnership with organizations and colleges in the Knowledge Graph and Semantic Visualizations ecosystem.
Learn and collaborate with experts and fellow hackers in the community, and learn more about Knowledge graphs and AI semantic visualizations, and how they enable machines to understand, organize, and interpret complex relationships between data, making AI systems more intelligent, contextual, and capable of delivering insights in a human-understandable way.
Time Commitment: Average of 2 hours per day
Benefits
•
Explore Knowledge Graph visualizations
•
Learn how to leverage AI Semantic Visualizations
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Advance your research while supporting social and environmental causes
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Earn certificates and badges to enhance your career
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Showcase your talent with the NSF and KGC and collaborating research teams
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Connect with amazing people and enjoy co-creating together!
We are looking for Participants with skills and interests in the following areas (please note, all these skills are nice to have, not mandatory requirements).
Technical Skills and Interests:
•
Machine Learning & Deep Learning: Understanding algorithms, model training, and optimization.
•
Data Science & Analytics: Skills in data collection, cleaning, processing, and visualization.
•
Programming: Proficiency in languages such as Python, R, JavaScript, C++, Core Java, and Frontend Frameworks such as Rect, Vue, and Angular.
•
Familiarity with AI Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
•
Natural Language Processing (NLP): text analysis, sentiment detection, and language models.
•
Computer Vision: Understanding of image recognition, object detection, and image classification.
•
Knowledge of Cloud Platforms: Experience with AWS, Google Cloud, or Azure for deploying AI models.
•
APIs & Integrations: Ability to connect AI models to external applications through APIs.
•
Data Visualization: Skills in presenting data insights through visual tools like Matplotlib, D3.js, or Tableau.
Interpersonal skills
•
Problem-Solving:
•
Collaboration & Teamwork
•
Communication
•
Creativity
•
Adaptability