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pdevine

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Go to a modern hospital emergency room, it's a cacophony of devices all vying for attention. I walked down the hallway and realized every room in the place had a different audible alarm—all active! I suspected the device manufacturers were all worried about liability for their device, making sure to notify that a patient had a problem. The end result for the medical staff was an endless chaos of noise. Complete systemic failure of UX from a practical standpoint.

The poster's looking for articles, so this recommendation's a bit off the mark. I learned more from participating in a few Kaggle competitions (https://www.kaggle.com/competitions) than I did from reading about AI. Many folks in the community shared their homework, and by learning how to follow their explanations I developed a much more intuitive understanding of the technology. The first competition had a steep learning curve. I felt it was worth it. The application of having a specific goal and the provided datasets made the problem space more tractable.

Dude, thanks so much for this. I have a loud machine I’m using for ML stuff and I’ve been reluctant to move it to the basement as I didn’t want to have to run downstairs with a monitor for the odd issue. I also looked at KVMs and was annoyed at the prices. I have a R Pi sitting here I was looking to do a project with. This is perfect!

There’s a timing problem with this approach, when you get the money vs when the investor expects a return. The investor usually wants clear indications of what you’re doing with the cash to increase their investment. Holding it generally doesn’t sit well with investors as they could have given it to someone who would be doing things with it.

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Our unique two-sided marketplace matches millions of customers with over 60,000 Taskers, offering convenience, quality and at accessible prices.

We’re in a period of explosive growth and have dozens of exciting job opportunities available right now at our San Francisco headquarters as well as in New York, London, and Austin.

We're hiring for a Chief Architect https://grnh.se/d8e90dbb1

Fullstack Engineers https://grnh.se/7be4d07f1

React Native Engineers https://grnh.se/aa0b76021

Ruby/Rails Backend https://grnh.se/14384d821

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Join our mission to provide opportunities for millions of hard-working people across the United States, United Kingdom, and soon, around the world.

Our unique two-sided marketplace matches millions of customers with over 60,000 Taskers, offering convenience and quality at accessible prices.

We’re in a period of explosive growth and have dozens of exciting job opportunities available at our San Francisco headquarters as well as in New York, London, and Austin.

We’re looking for experienced engineers comfortable working on the server in Ruby or on the client in JavaScript/React. For our mobile applications we're using React Native.

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I often purchase electronics to then have them sit and collect dust. Thinking I need to change up the habit somewhat.

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We’re looking for experienced engineers & devops folks comfortable working on the server in Ruby or on the Client in JavaScript. We believe strongly in modern development practices like code reviews, thorough unit testing, and smart collaboration. Read more at https://www.taskrabbit.com/careers. You can also get to know us better as a team at our tech blog: http://tech.taskrabbit.com/.

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Each day brings more chores and less time to accomplish them. Whether someone needs a handyman, house cleaner, mover or delivery person, TaskRabbit delights clients by matching the right skilled person in minutes. On the other side of the marketplace we help our Taskers earn a living by setting their own prices, defining their working hours, and give them control to help people when and how they want in the most supportive marketplace.

You'll be a member of our engineering team, helping us build out the web applications that drive our business. We have applications for clients to hire taskers, for taskers to register with the platform, and for our internal users to administer the service. We use React.js on the frontend, and Rails on the backend. We're ideally looking for a full stack engineer but would be thrilled to hire a competent front-end engineer who has aspirations to learn Rails someday.

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TaskRabbit | Fullstack React.js / Ruby Engineer | San Francisco | Onsite | Visa considered | https://tr.co/

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I'm pretty sure they're using a machine learning algorithm, and it's determining the way to handle your post. Can someone who understands the ML algorithms better than I explain how this would interact with the feature weights? I'd be curious as to how we think that would play out.

In addition to what's already been discussed, you should also think about how to answer questions related to the hiring process. In today's competitive world hiring a great team consumes a huge amount of a manager's time and energy. Some questions to think about, how would you attract top talent? What's the interview process look like? How do you know an engineer will be a good hire? Things along those lines.

In the other comments people have spoken quite a bit about managing down in to the team, I'd also think about the project management and scope negotiation portion. As a partner to product management you're often called on to help shape what's possible long before ideas enter sprint planning or get turned into stories. Think about how you'd help negotiate scope when often the actual requirement has not been clarified.

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I use a hackintosh as my main desktop at home for the reasons you describe, 32GB RAM, terabytes of storage, much cheaper than Apple's offerings. Here's the thing, it takes a time investment to update it, and updates can be unpredictable.

I spent several days playing with various settings to get everything working--would have been easier if I had chosen a motherboard that's mainstream in the hackintosh community--didn't buy the machine with this in mind. Once up and running I thought I was home free, then 10.10.2 came out, thought I'd just apply the update, took me 4 hours to get my machine back. Since I've learned more about it I can now update my machine in about 10 minutes but it's taken much trial and error to get here. I've had to read a lot of forums with conflicting advice and try to debug with endless reboots.

Since then most updates have gone smoothly, though rarely an update will bork the video drivers or the Ethernet due to changes on apple's side. I spent 2 hours one time getting sound to work. I'm glad for the learning experience but at this stage I often debate if I've spent more time on maintenance than the cost of just paying Apple their ransom for a nice machine.

If you're game for the time investment I'd say go for it. Definitely research which motherboard to use, I think that's been a big part of my struggles is having one nobody else uses I'm having to invest a lot of time in debugging my particular setup. The drivers have been the big deal, I've at various times had trouble with video, sound, Ethernet, and usb 3.0. Today I have everything but sleep working and am on the latest El Capitan release. YMMV.

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I understand that significant parts of the OS code were burned into ROM in order to free up RAM, which was more expensive. Code for things like the window manager, etc. Later versions of the OS patched bugs in the ROM by loading the patches into RAM. A rather inventive design at the time.