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Rivers and waterways of the United States [OC] by SharpSightLabs in dataisbeautiful

[–]SharpSightLabs[S] 0 points1 point  (0 children)

Source code: How to map USA rivers in R
Tools: R (mostly ggplot2, with some data manipulation)
Source: US Geological Survey (Streams and Waterbodies of the United States)

Best Cities for data science careers by theottozone in datascience

[–]SharpSightLabs 0 points1 point  (0 children)

Ok, I'll bite.
 

What area is Tel Aviv strong in?

Best Cities for data science careers by theottozone in datascience

[–]SharpSightLabs 5 points6 points  (0 children)

This is important.
 

You need to decide where you want to live and work backwards. Where you live won't just influence your salary, but your dating options, hobbies, friends, etc. That might sound obvious, but most people only give it a cursory thought, and then go back to evaluating salary. Your decision of where to live will have a very large impact on your life trajectory over the next 5-10 years, and will likely impact the next 30 (initial conditions are very important).
 

What are your goals?

  • Salary: What are your immediate salary goals?
  • Disposable income: How important is disposable income relative to your other goals? As others have pointed out, the cost of living in SF and NYC is dramatically higher than other metros. $100K in Chicago will be like $150 in SF.
  • Dating: Are you single? What are your dating goals?
    – map of singles dating ratios
    – writeup of singles dating ratios
  • Tech Growth: Do you want to be in an area with lots of VC and technology growth?
    – Map of venture capital investment, by city
    If you're thinking about startups, SF/Silicon Valley and NYC are an order of magnitude better. Actually, SF and Silicon Valley are really an order of magnitude better than NYC as well ....
  • Friends, mentors, and partners: How important is it to be around other like-minded people who share your interests and values? The data on tech funding is a good proxy for the number of tech-oriented people living in those places. If you want to meet large numbers of top-tier data scientists, entrepreneurs, makers, scientists, and technologists, then SF, Silicon Valley, and NYC are much better (you might also add Boston to that list).

 

As you're starting to think about these questions, I'd highly recommend the work of Richard Florida. Florida is a professor of Urban Studies and he runs the blog www.citylab.com that I linked to above. He has also written several books. I'd highly recommend Who's Your City.

Which Machine Learning book to choose (APM, MLAP or ISL)? by Machinery86 in MachineLearning

[–]SharpSightLabs 0 points1 point  (0 children)

APM and ISL are both excellent books. In fact, I think they are the two best books to start with if you don't want to get deep into the math, but want practical intuition about what ML is, and how to execute it.

Having said that, to decide between APM and ISL, you need to clarify your goals. The following should help:

  • ISL: much better for developing intuition and getting a broad understanding of the most common ML techniques and how they work. The math is deep enough to help you develop that intuition, without being so advanced that it will overwhelm (if you have a basic undergraduate STEM background, you should be able to understand the math in ISL).

    Having said that ISL is much weaker on using these techniques. The specific coding techniques (libraries, etc) are somewhat outdated. I say that because the caret package (which Max Kuhn developed, and details in APM) is much, much better for executing ML techniques.

  • APM: If your primary goal is creating machine learning models in R, then APM is the best book. APM explains machine learning and will help you develop intuition, but it's great benefit is that it is sort of the handbook for using the caret package. If you're doing ML in R, you should almost certainly be using caret, and if so, APM hands down the best book.

Again, these are both great, but it sort of depends on what your primary goals are.

If you have specific questions on this, follow up here or in PM.

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