Course description
Apply knowledge of artificial intelligence and its various branches in companies, particularly those related to Big Data, Deep Learning and the algorithms associated with these new technologies.
Course content
• Introduction to artificial intelligence.
- Definition and history of artificial intelligence.
- Identifying the branches of AI and their algorithms.
- Using machine learning and deep learning.
- Big Data as the change in AI.
• Applying artificial intelligence algorithms
- Use in machine learning: supervised models.
- Use in machine learning: unsupervised models.
- Reinforcement learning. Deep models (deep learning).
- Working through examples with Weka/Orange
- Definition and history of artificial intelligence.
- Identifying the branches of AI and their algorithms.
- Using machine learning and deep learning.
- Big Data as the change in AI.
• Applying artificial intelligence algorithms
- Use in machine learning: supervised models.
- Use in machine learning: unsupervised models.
- Reinforcement learning. Deep models (deep learning).
- Working through examples with Weka/Orange