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curriculum-machine-learning.qmd
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---
title: "Machine Learning"
bibliography: lit/references.bib
---
{width="150"}
Introduction...
+------------------------------------+-----------------+-----------------------------------------------------------------------------------------------------------------------+
| {width="40"} | **Github\ | [Repository for Instructors](https://github.com/laser-institute/text-mining) |
| | ** | |
+------------------------------------+-----------------+-----------------------------------------------------------------------------------------------------------------------+
| {width="40"} | **Posit Cloud** | [Workspace for Students](https://posit.cloud/spaces/493094/join?access_code=qjsumVzA0HZYgrxOSizVbVPmDs7iHYS32yUQaqDe) |
+------------------------------------+-----------------+-----------------------------------------------------------------------------------------------------------------------+
## Module 1: NAME
Module 1 overview...
+-------------------------------------------------+----------------+---+
| {width="40"} | **Conceptual\ | |
| | Overview** | |
+-------------------------------------------------+----------------+---+
| {width="40"} | **Code Along** | |
+-------------------------------------------------+----------------+---+
| {width="40"} | **Readings &\ | |
| | Reflection** | |
+-------------------------------------------------+----------------+---+
| {width="40"} | **Case Study** | |
+-------------------------------------------------+----------------+---+
| {width="40"} | **Badge** | |
+-------------------------------------------------+----------------+---+
## Module 2: NAME
Module 2 overview...
+------------------------------------------+----------------+---+
| {width="40"} | **Conceptual\ | |
| | Overview** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Code Along** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Readings &\ | |
| | Reflection** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Case Study** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Badge** | |
+------------------------------------------+----------------+---+
## Module 3: NAME
Module 3 overview...
+------------------------------------------+----------------+---+
| {width="40"} | **Conceptual\ | |
| | Overview** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Code Along** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Readings &\ | |
| | Discussion** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Case Study** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Badge** | |
+------------------------------------------+----------------+---+
## Module 4: NAME
Module 4 overview...
+------------------------------------------+----------------+---+
| {width="40"} | **Conceptual\ | |
| | Overview** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Code Along** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Readings &\ | |
| | Discussion** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Case Study** | |
+------------------------------------------+----------------+---+
| {width="40"} | **Badge** | |
+------------------------------------------+----------------+---+
## Microcredential
The culminating activity for the TM Modules is designed to provide you some space for independent analysis of a self-identified data source. To earn your TM Microcredential, you are required to demonstrate your ability to formulate a basic research question appropriate to a social network context, wrangle and analyze relational data, and communicate key findings. Your primary goal for this analysis is to create a simple data product that illustrates key findings by applying the knowledge and skills acquired from the essential readings and case studies.
| | | |
|--------------------------------------|---------------------|-----|
| {width="40"} | **Microcredential** | |
## References