Just adding to your point to define what exactly data science is these days. I've been interviewing intermittently for the last few weeks and different companies mean different things when they mean data scientist. It's a catchall-term which includes some of the following: data analyst, data engineer, business analyst, machine learning engineer, product/growth analyst etc. For all of these, I would say that a PhD is not required.
Another thing I've observed is that even when a PhD is required, companies usually add "or equivalent work experience" (4+ YOE) in their requirements.
Since the variables are categorical, won't PCA have to be modified to use it effectively? To my knowledge, PCA can only be used for continuous variables.
They have been at the forefront for other technologies as well (I think that I saw this first in the sitcom Silicon Valley). A few examples include : VCR, secure online payments, affiliate marketing, streaming services, video conferencing, social media (?) etc. Even today, they are working on virtual reality, sex robots, etc. Ethics aside, it's fascinating to note that porn has had such a disproportionate impact on tech.
From what I remember, Google bought Boston Dynamics (BD) in 2013 and sold it to Softbank in 2017. Now Softbank plans to sell BD after 3 years. Does BD not have a viable business plan? Or is their R&D just not good enough in the present to warrant a long term commitment?
Yep, for me the ratings are a decent gauge for the quality of a book. Given the amount you read, it's likely that you'll exhaust the list of books that are highly rated and happen to be in your domain of interest. Since I read about 2 books a month ~ 25 books a year, I haven't faced this problem.
I suggest you look into English translations of books that are highly rated in other languages. Lots of hidden gems to be found this way.
Make a list of book titles from the footnotes of books I am currently reading. Then just check the average review on Goodreads, if it is over 3.5, I give it a go. This allows me to read about different subjects from respected subject matter experts (since they have been cited in a book I enjoy) while also making sure that they are well written and accessible to a noob (3.5+ rating).
For fiction, I just pick a random book from my local library. Surprisingly, this has served me well so far.
What I meant was the rate at which they malfunction seems to be lower than Sony/Senheiser counterparts. Admittedly this is purely anecdotal with the sample size being about 20 people.
With the exception of an ipod touch I have never bought an Apple product, however I definitely appreciate them. I was simply trying to push back on the "image over substance" comment.
Oh c'mon. Apple products tend to be long lasting, are incredibly easy to use, don't malfunction, have a good design aesthetic and are a good addition to an already existing suite of Apple products. Suggesting that he values image over substance seems unnecessary.
Another thing I've observed is that even when a PhD is required, companies usually add "or equivalent work experience" (4+ YOE) in their requirements.