Hurricanes

We were always forgetting which Hurricanes were when, so I finally looked it up.

Hurricane Katrina: August 2005. Hit New Orleans.
Hurricane Rita: September 2005. Hit Port Arthur.
Hurricane Ike: September 2008.  Hit Houston.

Obviously more places were affected, I just didn't feel like capturing them all.

I totally forgot that Katrina and Rita were back to back.

Scholarly reflection

I'm taking a class where I am supposed to submit a reflection on each week's reading assignments. Almost all of the online classes have been this way, but it seems that this professor wants a bit more than the previous ones. He mentioned scholarly reflection, so I decided to Google it. I came across the following pages:

Reflection Tip sheet from the International Institute for Restorative Practices. It starts off by saying that it isn't a summary or a stream of consciousness mind dump. Many of my papers have definitely been the latter. But it is the "identification of the main themes of the readings integrated with your classroom experience and how both affect your thinking and practice." I think of identification of the main themes as a summary. I think that's what's been throwing me off.

But I do get how it says it's my opportunity to demonstrate that I've grasped the material and to explain how it may affect my thinking and practice.

How to Write a Reflection Paper by Trent University. What is the thesis? What is the evidence? What ideas stood out to me?

From RMIT University: Writing an Academic Reflection.

• Write using a detailed plan for each reflection: describe, interpret, evaluate and plan for future application.

• Write the body paragraphs containing one main idea (interpreting and evaluating the insight) stated in the topic sentence. Other sentences explain, support and give detail, with evidence from research and/or examples. Integrate theory and include references as you go. Expect to write a number of drafts. 

And directly from the professor:
What are the central themes?
What are arguments?
What's at stake?
Why are these things important?
What are they failing to see?
Do you agree or disagree and why?
How do their arguments work or not work?
What are they not considering, or not considering fully?
Do their conclusions not follow from their premises?

Practical AI

I've been saying that I was going to delve into AI. I started looking into some of the free courses when I was in Tampa, but I didn't stick with it. Honestly, I probably won't really realistically work on something like that until I'm done with my current studies. But maybe next year...

Anyway, I got a work email from SkillSoft Books about their latest releases, and this one caught my eye:

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python, Second Edition by Manohar Swamynathan

Apress © 2019 (457 pages)

ISBN: 9781484249468

Your practical guide to moving from novice to master in machine learning with Python 3 in six steps, this book covers fundamental to advanced topics gradually helping beginners become worthy practitioners.

I'll have to come back to that...