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Course Outline
Advanced Neural Networks for Government
- Deep learning architectures
- Convolutional and recurrent neural networks
- Generative models and unsupervised learning
Machine Learning at Scale for Government
- Big data analytics
- Distributed computing for machine learning
- Advanced optimization techniques
Reinforcement Learning and Decision Making for Government
- Markov decision processes
- Policy gradient methods
- Multi-agent systems and game theory
Natural Language Processing and Understanding for Government
- Advanced natural language processing techniques
- Sentiment analysis and text classification
- Language models and transformers
Computer Vision and Perception for Government
- Image recognition and object detection
- Video analysis and action recognition
- 3D reconstruction and augmented reality
AI Ethics and Society for Government
- Bias and fairness in AI systems
- AI governance and policy
- Future societal impacts of AI
Lab Project for Government
- Implementing advanced machine learning models
- Analyzing large datasets
- Collaborating on a group research project
Summary and Next Steps for Government
Requirements
- A strong foundation in fundamental artificial intelligence and machine learning concepts
- Proficiency in Python programming and familiarity with data science toolkits
- Completion of an introductory course in artificial intelligence or equivalent experience
Audience for Government
- Data scientists
- Engineers
- AI practitioners
21 Hours
Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
