_fullpint

There are three listed there and two more on the way.

The biggest issue with the Greater Houston Area isn’t just the lack of green spaces for natural absorption but the compaction of the ground from over pumping ground water decades ago.

Many of the municipalities that are not Houston proper run their own MUD(Municipal Utility District)and continue to make the same mistakes that COH did decades prior.

The other big issue is lack of zoning and coordination of development. Many people buy homes with information about the flood plains in mind, but later on are in the path of another developers flood plan.

In Texas alone, Rita, Ike and Harvey were all devastating.

I’m not sure what relation you’re referring to in “relatively.”

ESL is really really good. Absolutely cannot be recommended enough. I’ve worked through at few times and it’s a great book to have on the shelf.

ISl is good but as it being an introduction book — the lack of higher order math wasn’t my favorite.

I stand corrected. Early reports were reporting that many were not able to obtain loans due to the fund being consumed. I’ll delete my comment.

my original comment was misinformed

I had a similar feeling walking through a lot of the Pergamon

I attempted to but the driver support just wasn’t there for my laptop.

WSL2 works fine and it also means that when I want to game I have a wider selection of games to play.

Awesome tool!

Unfortunately it isn’t fully functionally via safari mobile.

But you can make the argument that your space is being used by your employer.

Many contractors claim tax deductions based on their rent or mortgage due to the fact that a percentage their home is used for business.

Have you looked into WSL2?

I just recently switched from Mac OS to windows and it really hasn’t been a bad experience.

I would go full Linux but the drivers for the GPU on my laptop seem to be a bit of a mess currently.

That’s a BIG difference

I think it’s when you have to download the Xcode CLI tools that many packages rely on. But you do it once and you never do it again.

Definitely not equivalent situations.

Do you have any suggestions on laptops? I've been using a MacBook Air 2013 as my daily drive for a good minute now.

I've been eyeing the Razer Blade, while the build quality is enticing, the battery life has me worried.

Absolutely -- one of the tools I wish more classrooms used.

Even in a CS program, its surprising how difficult it is for many students to provision the correct software.

Its absolutely wild that for anyone that's not a resident of California or EU/UK -- there isn't a way for you to request anything other than specific images/links.

It’s not about helping those in need. It’s about putting money in hands that will actually spend it.

A solution to recessions is increasing Aggregate Demand. People spending money does just that.

Thank you — I’ve often times had to run things interactively and this would have saved me so much time and stress.

Some of the stuff does t fit correctly on an iPhone 6-8 screen.

Much closer to the latter. I haven’t read this yet, but it sounds like an encoder model.

> While many of the patients, but not all, reported recent use of THC-containing products, some reported using both THC- and nicotine-containing products. A smaller group reported using nicotine only.

That’s directly from the CDC. They should probably stop using the word e-cigarette especially due to the fact nobody using the THC vapes calls them that.

Maybe I'm mistaken but from what I remember I had read a couple that were not human labeled. Let me take a gander later today.

What type of help are you looking for?

I’ll look it up later but if you look at any of the recent computer vision conferences and search for things like anomaly detection with either or attention or lstm networks you should be able to find stuff.

In the example I gave about anomaly detection, what’s being detected as normal or an anomaly doesn’t need to be labeled by a human. This just comes down to probability of temporal data. This temporal data can come from segmentation which again doesn’t need human readable labeling and can be produced from an automated process. You can automate such a system to alert someone if something is an anomaly.

Edit: Also want to add there are more traditional avenues of which non-labeled data can be used.

Unsupervised Learning where you read in arbitrary data and cluster for some sort of probability based system.

Another good thing to look at is a system with “some” labeling like Semi-supervised Learning.

Any situation where you can do binary classification doesn’t need any true labeling as long as you can evaluate attributes of some object, complex or not.

Not exactly on topic but after skimming the article and then the comments, there seems to be — albeit a very understandable — misunderstanding of what is being done in the field and how the public views and uses terminology.

People hear or read the words Machine Learning and assign a HAL like technology to it.

It’s definitely hard to explain an idea like SVM, it’s applications, and how it works/what it does without a background in some linear algebra.

And then to broach more complicated topics like temporal real time neural networks in computer vision for something like anomaly detection.

From my conversations with people because it’s something that isn’t understood there is almost a cognitive dissonance. One of which expects so much now, but at the same time denies the future application space when the conversation becomes more personal. “Why aren’t self driving cars a thing yet...” and then “A machine couldn’t do what I do.”

It’s worrying that there will definitely be regulation coming to the field, where the people writing the laws and the people the writers represent have a hard time understanding what they are trying to regulate. Add in the fact that the tech itself is somewhat cheap and will only get less expensive. You only have to look as far as the Deep Fakes fiasco on Reddit. The guy creating fakes of celebrities being superimposed on porn is a self proclaimed amateur and was able to accomplish a quite a bit at home with Keras.

Edit:

I do want to mention that a lot of the papers I’ve read recently on real time anomaly detection rely on automated labeling and not having human labelers.

It’s only important to have human readable labels if a human has to interpret directly.

OP mentions Essentials Of Statistical Learning — it’s a pretty heavy book that gets mentioned quite a bit.

From the same Stanford publishing there is Introduction to Statistical Learning. It’s a good intro to Machine Learning as a whole.

Far too often it seems people want to jump directly into Deep Learning, I’d shy away from that and having a better understanding of ML as a discipline makes the application of DL much more productive.

Edit: Also would like to add a lot of people want to use DL for imaging stuff. Take some time to understand Digital Image Processing as well. It’s a good introduction to convolution and filtering. As well as just understanding what an image is and what can be done with it!

This is just sort of advice from my path.

The second book they mention also had some pretty heavy stuff involving probability and probability models. If you can take some time to understand Automata and it’s supplications such as Hidden Markov Models that’ll be a big help.

Also you mentioning that you never taking a formal algorithm course. While it isn’t necessary as you probably won’t be building anything from scratch. Learning some dynamic programming methods is very helpful when understanding FFT and it’s impact with convolution methods and also how some of these hidden models for probability are evaluated efficiently.

That's really cool!

Do you mind maybe explain how you were able to communicative and associative props to avoid using semaphores/mutex?

There seems to be a lot of complaints here about the formality of it all. My preference is usually for more formal literature, just because it tends to lend for a more powerful tool for me. With that said, did you find it to be too formal?

I've worked with filters and spectral analysis and you would often do this in CS in Digital Image Processing.

The point isn't what you use the FFT for but what the FFT does. The FFT does fast polynomial multiplication.

You're probably right -- and even when I saw it elsewhere it was still within the CS department.

For instance we glanced over it during my Digital Image Processing course. The professor did introduce it as a form of fast polynomial multiplication but we didn't dive too deep into Cooley-Turkey because frequency analysis was the focus of the work.