# Week 8 - Machine Learning Strategy 1 & 2 ### This week you will.. * Guidelines for the projects presentations, suggestions on what to put on them, baseline and human performances. * Talk about how to structure the training, test and validation set, and more general on how to structure the whole project. * What about using transfer learning, end-to-end approaches, divide the problem into smaller subproblems, or using multi-tasking? Sometimes the problem can be seen from another perspective. * Since there were no programming assignment for this week, walkthrough an LSTM tutorial on time series. ### Learning Resources ### Slides {% embed url="" %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-learning/week-9-machine-learning-strategy-1.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.