Topic Thread

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.