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updating the plan with more detailed/up to date info

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Charles Reid 5 years ago
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  1. 27
      ThePlan.md

27
ThePlan.md

@ -7,23 +7,32 @@ We are following two tracks:
* Machine Learning Track
Software engineering track:
* Paper and pencil working out algorithms (see binder)
* Wiki: distilled, polished notes: see [https://charlesreid1.com/wiki/CS](https://charlesreid1.com/wiki/CS)
* Git: to-to list for topics: see [software engineering to do list (below)](#software-engineering-to-do-list)
* Git: code practice: see [https://git.charlesreid1.com/cs/java](https://git.charlesreid1.com/cs/java)
* Paper and pencil working out algorithms (physical 3-ring binder)
* Wiki: distilled, polished notes [https://charlesreid1.com/wiki/CS](https://charlesreid1.com/wiki/CS)
* Git: software engineering topics [TODO list](/TODOSoftwareEngineering.md)
* Git: code practice
* [https://git.charlesreid1.com/cs/java](https://git.charlesreid1.com/cs/java)
* [https://git.charlesreid1.com/cs/python](https://git.charlesreid1.com/cs/python)
* [https://git.charlesreid1.com/cs/c](https://git.charlesreid1.com/cs/c)
* Flashcards
Machine learning track:
* Paper and pencil notes (rough), problems (working out), thinking
* Note: following Alpaydin book, working through problems
* Wiki: distilled, polished notes and learnings
* Paper and pencil notes working out algorithms etc (physical 3-ring binder)
* Wiki: distilled, polished notes and learninga [https://charlesreid1.com/wiki/ML](https://charlesreid1.com/wiki/ML)
* Summary of major concepts
* Answers/examples worked out more clearly
* Fast notes, for studying, not presentation, so snap photos and upload
* Git: to-do list for topics
* Git: to-do list for topics [TODO list](/TODOMachineLearning.md)
* Git: code practice
* [https://git.charlesreid1.com/cs/machine-learning](https://git.charlesreid1.com/cs/machine-learning)
* [https://git.charlesreid1.com/cs/java](https://git.charlesreid1.com/cs/java)
* [https://git.charlesreid1.com/cs/python](https://git.charlesreid1.com/cs/python)
* [https://git.charlesreid1.com/cs/c](https://git.charlesreid1.com/cs/c)
* Flashcards
Resources:
* Principal textbook used is Alpaydin book, Intro to Machine Learning
### Daily Plan
Each day:
@ -53,4 +62,4 @@ Practice writing out on a whiteboard and/or on paper,
before implementing on computer.
Get a big drawing pad from the art store.
See [checklist](#checklist) below for the checklist of completed tasks.

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