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apohn
searching PlanetScale…
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45 ms
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361.
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by
apohn
9y ago
I think hype results in skepticism, and things can be hyped on a far larger scale now than ever before. If I think back to my early internet days, I remember email (Eudora!!) being the most useful and exciting thing. After that I remember
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apohn
9y ago
I just updated my 6+ and ran Geekbench before and after. No major difference in scores and the single and multi-core benchmarks are consistent with the comparison numbers for other 6+ phones. Battery is in good health.
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apohn
9y ago
I'd recommend searching for "Introversion and extroversion brain differences" and similar topics in your favorite search engine. There's evidence that there are physical differences in the brain. Hopefully somebody with
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by
apohn
9y ago
Some professors have had 20+ years to digest an enormous amount of information. Keep in mind they have 2 major advantages over people in industry when learning this stuff. At universities that offer PhDs, being a professor forces you to de
365.
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apohn
9y ago
The professor himself probably agrees with you. In lecture 18 the professor states At 3:40 - For this topic he actually has has 6 or 7 lectures, 100 pages of notes. But it's compressed to an introduction. At 7:10 - He states HMM is 2
366.
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apohn
9y ago
Yes, the R engine is external. It can be installed on the same machine to improve performance. You'll have to manage R and Postgres separately, but the communication between them can be streamlined (e.g. what is done in PL/R). T
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by
apohn
9y ago
Could you describe what you are trying to do in more detail? It's been a few years, but I used Pl/R for this. http://www.joeconway.com/plr/doc/doc.html http://www.joeconway.com/plr/
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apohn
9y ago
>I force remote first (and we've been like that since the start) the horror stories in this thread all sound like horrible mismanagement from companies trying to "add it on" rather than have it be a first class policy. At
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apohn
9y ago
I've had both positive and negative experiences at different companies. ProTip: It really helps when your manger is remote as well. It's harder to bias themselves to preferring local employees that way. Positive: I worked for a
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apohn
9y ago
I'm married and was in the same situation a few years ago. My SO moved with me - she didn't wait. There are some positives from your SO not being able to move out until later in the year. The first 3 months of a job can be tough
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apohn
9y ago
What I realized over the course of the year was that data was just a vehicle to justify gut feelings, opinions, and reports from "trusted" external vendors. It was more politics and about gaining visibility than it ever was about
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apohn
9y ago
>I'm a firm believer that data science should be pulled out of IT and put into the business. I say this from personal experience. The major risk here is that Data Scientists will constantly get pulled in as resources to support bus
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apohn
9y ago
IMO every Data Scientist needs to be able to quickly identify a win and deliver quick value, even in a longer term ML project. Iterate and get something out. Most people in large businesses cannot do any data ETL or build a dashboard, so i
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apohn
9y ago
In my experience, many companies are wanting to hire a lot more data scientists (and paying them six-figure salaries to boot), when what they really are looking for are what has traditionally been called a "data analyst" position.
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apohn
9y ago
Until recently I led a Data Science team (manager and IC) at a non-software Fortune 10. I, and everybody else on the team, left within a year of joining. The division where I was in hired me to grow both Data Science practice and the team.
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apohn
9y ago
I'm not sure how to answer without stating the obvious (e.g. poor health reports) so I'll just state some of the causes. 1). Years of stress due to debt and having to work extremely long hours to make up for the debt. This includ
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apohn
9y ago
I'll provide a brief story from somebody I once knew (we didn't keep in touch). Person founded a startup during the .com bubble. He took on a lot of personal debt to fund it. In his words, "Went from driving a Ferrari to lo
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apohn
9y ago
>Separately if you live your life in service to a bohemeth, learning nonreproducible skills in maneuvering their bureaucracy you are likely to have a miserable pointless career. If are a bigco and you actually care about doing a good job
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apohn
9y ago
>Emphasis on meeting whatever deadline was decided internally. Lots of people on your project who you don't know what they do. The most important defense against this is your manager, who can keep your team away from projects with n
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apohn
9y ago
>feels like several small-corps (~100) in practice due to divisional structure, even the lowest employee is only 5-6 steps from the CEO. I worked for a med-corp (~3000 people) that was like this because they had spent 10 years growing by
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apohn
9y ago
A lot of great answers! Don't forget the majority of bigcos are not software companies. These are companies like Ford, GM, Coca-Cola, Proctor and Gamble, etc. Basically, these companies use software as part of their business, but are
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apohn
9y ago
>Dirty data engineering, like modeling, will soon be largely automated. I don't agree. For every modern tech company that collects data that lends itself to automated data cleaning, there's a 40+ year old company that defined
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apohn
9y ago
>I spend a lot of my time explaining that there must first be a business objective, a key question, or hypothesis that can then be understood through data. I cannot take a haystack and find the needle that is interesting to you. And if I
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apohn
9y ago
>40% of people survey spend >1-2 hours per week searching for another job. Surprising given all companies complain about the difficulty in finding data scientists/machine learners. I've hired data scientists in the past. On
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apohn
9y ago
Let me reframe. If you want to leave the Bay Area because of the cost of living, the NYC area may not be the answer. The price of a home ($/sqfoot) may be cheaper in the suburbs of NYC than SF/SV, but property taxes are extremely
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apohn
9y ago
> I am not aware of how expensive Bay area housing is - but you can find pretty good houses an hour from NYC at < 500-600K I'm not trying to get in an argument, but just want to add some perspective. The quality of house varies
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apohn
9y ago
Keep in mind that many of the areas you state will mature and you will not need to be a subject matter expert to use them. Take for example Hadoop. 5 years ago you had to be able to code to use Hadoop effectively and many people were convi
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apohn
9y ago
Absolutely this! Tell the right person you want to move into that senior dev position and say you'll work with the senior dev to make that transition. Approach the senior dev and tell them you'd like to move into their position a
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apohn
9y ago
I was loosely involved with a project at a very large company where they were using Watson (all on-premise, no cloud) to classify customer feedback (verbatims) into an existing taxonomy. This was actual customer feedback that came through
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apohn
9y ago
When I read your username I was a little taken aback. I have your python data science book and just assumed you were always a ML Software Engineer. I didn't realize you were a data scientist who transitioned into a more engineering f
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