Hi Everyone,
We've just completed Course 4: Machine Learning, Visual Recognition, and NLP, in the AI Enterprise Workflow Specialization study group.
Course four was really interesting. Week 1 we reviewed model evaluation and performance metrics and week 2 we discussed building machine learning and deep learning models.
Here's a list of the topics covered in the study group:
Week 1
- Common regression, classification, and multilabel classification metrics
- Common strategies for grid searching and cross-validation
- The use of linear models in supervised learning applications
- Creating and testing an instance of Watson Natural Language Understanding
- Employing evaluation metrics to select models for production use
Course notes for week one.
Week 2
- Explain the use of tree-based algorithms in supervised learning applications
- Explain the use of neural networks in supervised learning applications
- Discuss the major variants of neural networks and recent advances
- Create and test an instance of Watson Visual Recognition
- Create a neural net model in Tensorflow
Course notes for week two.
We'd love to have you pop in for a study group session. The courses can be taken out of sequence. Our next study group meets Saturday 5/2. We'll be discussing course 5, AI in Production.
Visit our website for more information and feel free to reach out with any questions.
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Sam Charrington
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