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Data Science for Social Good Fellowship – AI, Machine Learning, Social Impact, Social Good, Policy, Equity
A summer fellowship training data scientists to solve real-world social impact problems using AI and machine learning.
Train in AI for social good with real projects
The Data Science for Social Good Fellowship is a summer program designed to train aspiring data scientists in AI and machine learning with a focus on social impact. You work on real problems alongside governments and nonprofits in areas like education, health, and public safety. This site connects you with projects, mentors, and resources to build your skills while making a difference. It’s ideal if you want hands-on experience applying data science to help communities and policy. You can explore past fellows, featured projects, and training materials that showcase how data science can drive positive change. The fellowship combines learning, collaboration, and real-world impact in a supportive community.
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Chainer offers a flexible, intuitive platform for building and training neural networks, making it easy to develop and experiment with deep learning models.
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Open source platform to build and run machine learning models with JavaScript in browsers and Node.js.
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Google AI Studio lets you quickly experiment and build with Gemini, Google’s multimodal generative AI models, all in one easy-to-use platform.
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spaCy is a free, open-source Python library for natural language processing, offering tools like NER, POS tagging, and parsing for real-world projects.
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Join AIcrowd to compete in AI challenges, collaborate with others, and help solve real-world problems using artificial intelligence.
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