I like "Machine Learning: A Probabilistic Perspective" by Kevin Murphy more, but this really is a matter of taste; both are excellent.
Take as much probability and linear algebra as you can conveniently do – as much for the intuition as for the symbol-manipulation mechanics – and don't underrate the importance of domain expertise in any problem you get…
The Shipping Forecast is a very significant cultural reference in the UK. It crops up all over the place. Britain is _fundamentally_ an island and a seafaring nation, and that's something Americans miss; you're never…
Density functional theory, for example, is taught at undergraduate level as part of both chemistry and physics triposes. Probably materials science too, and it certainly used to be an option within earth sciences (as…
Collaborative filtering is machine learning, so if you consider AI machine learning, definitely yes.
The team behind Detectron have published an enormous amount of really good research, but the Detectron codebase struck me as "good research code" rather than something you'd ideally want in production.
Not at the kind of resolution you'd want to be using on, e.g., Twitch. In that setting, you could just use chromakey, though? That's '70s technology, cheap and very reliable.
If you're interested in this but have no background, the best place to start is "Fully Convolutional Networks for Semantic Segmentation" – https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn... This is a very…
> Stitch Fix makes it a major brand point that computers are an important part of the process (which even if you disregard everything else is a really good line to take if you're after recruiting good machine learning…
This means that codec development makes no sense for anyone who doesn't own either a large distribution platform or a large playback platform. (Much of the research has been done by middleware companies attempting to…
Effective counterexample: the USPS. http://www.cedar.buffalo.edu/~srihari/talks/Telcordia.pdf
One of four (MXNet and CNTK alongside TF and Theano), and the Amazon deep learning API forked Keras to default to MXNet support before it was really ready - which irked the Keras authors quite a bit.
Python has been the language of choice for many physicists (when not doing Fortran) since the early 2000s.
PyTorch, Theano (rip), TensorFlow itself, Numba/Blaze?
It's even more dramatic than that. Google make money on advertising, not direct sales, so what you're saying is "the (usage * advertiser desirability) from the entirety of group 2 is roughly equal to groups 1 and 3…
Absolutely, yes. Your moral argument there is pretty undeniable; I'm speaking purely to propensity-to-spend and that's a pretty narrow lens. In fact, I'd say "target the web" if you're going for maximum accessibility…
Turns out paying $700 is a pretty good proxy for "caring", though!
More "chooses to spend what money they have on a phone" plus "has the money to spend", which is almost but not quite what you're saying. I know some very rich people with whatever Android device the network gave them.…
This observation is the single most important thing you need to know if you work in consumer mobile. To first order, iPhone owners spend money. Android owners don't. This is because your average iPhone user cares more…
Yes, when appropriate. Think of it as a Bayesian prior...
At a previous company, I worked with someone in a recent highly-public sexism scandal (if I said who or where, I would no longer be a genericpseudo). I knew that the person was extremely brash and was told that they…
The problem isn't the mods' local actions (though the mods are not nearly as assertive as I would like in this area); it's the Hacker News community's toleration of bigots and therefore the macro action of failing to…
Close but not quite. The difference between (soft) SVM and a kernel linear classifier is choice of loss function; SVM minimizes hinge loss, linear regression minimizes squared loss. (Choice of different loss functions…
Jobs has form for this kind of thing, too (breaking something to force developer behavior before reintroducing it when habits have changed). Best example: the original Mac had no cursor keys (to force developers to…
Has Thunderbolt ports. The existing iMacs can drive external displays in addition to their internal one.
I like "Machine Learning: A Probabilistic Perspective" by Kevin Murphy more, but this really is a matter of taste; both are excellent.
Take as much probability and linear algebra as you can conveniently do – as much for the intuition as for the symbol-manipulation mechanics – and don't underrate the importance of domain expertise in any problem you get…
The Shipping Forecast is a very significant cultural reference in the UK. It crops up all over the place. Britain is _fundamentally_ an island and a seafaring nation, and that's something Americans miss; you're never…
Density functional theory, for example, is taught at undergraduate level as part of both chemistry and physics triposes. Probably materials science too, and it certainly used to be an option within earth sciences (as…
Collaborative filtering is machine learning, so if you consider AI machine learning, definitely yes.
The team behind Detectron have published an enormous amount of really good research, but the Detectron codebase struck me as "good research code" rather than something you'd ideally want in production.
Not at the kind of resolution you'd want to be using on, e.g., Twitch. In that setting, you could just use chromakey, though? That's '70s technology, cheap and very reliable.
If you're interested in this but have no background, the best place to start is "Fully Convolutional Networks for Semantic Segmentation" – https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn... This is a very…
> Stitch Fix makes it a major brand point that computers are an important part of the process (which even if you disregard everything else is a really good line to take if you're after recruiting good machine learning…
This means that codec development makes no sense for anyone who doesn't own either a large distribution platform or a large playback platform. (Much of the research has been done by middleware companies attempting to…
Effective counterexample: the USPS. http://www.cedar.buffalo.edu/~srihari/talks/Telcordia.pdf
One of four (MXNet and CNTK alongside TF and Theano), and the Amazon deep learning API forked Keras to default to MXNet support before it was really ready - which irked the Keras authors quite a bit.
Python has been the language of choice for many physicists (when not doing Fortran) since the early 2000s.
PyTorch, Theano (rip), TensorFlow itself, Numba/Blaze?
It's even more dramatic than that. Google make money on advertising, not direct sales, so what you're saying is "the (usage * advertiser desirability) from the entirety of group 2 is roughly equal to groups 1 and 3…
Absolutely, yes. Your moral argument there is pretty undeniable; I'm speaking purely to propensity-to-spend and that's a pretty narrow lens. In fact, I'd say "target the web" if you're going for maximum accessibility…
Turns out paying $700 is a pretty good proxy for "caring", though!
More "chooses to spend what money they have on a phone" plus "has the money to spend", which is almost but not quite what you're saying. I know some very rich people with whatever Android device the network gave them.…
This observation is the single most important thing you need to know if you work in consumer mobile. To first order, iPhone owners spend money. Android owners don't. This is because your average iPhone user cares more…
Yes, when appropriate. Think of it as a Bayesian prior...
At a previous company, I worked with someone in a recent highly-public sexism scandal (if I said who or where, I would no longer be a genericpseudo). I knew that the person was extremely brash and was told that they…
The problem isn't the mods' local actions (though the mods are not nearly as assertive as I would like in this area); it's the Hacker News community's toleration of bigots and therefore the macro action of failing to…
Close but not quite. The difference between (soft) SVM and a kernel linear classifier is choice of loss function; SVM minimizes hinge loss, linear regression minimizes squared loss. (Choice of different loss functions…
Jobs has form for this kind of thing, too (breaking something to force developer behavior before reintroducing it when habits have changed). Best example: the original Mac had no cursor keys (to force developers to…
Has Thunderbolt ports. The existing iMacs can drive external displays in addition to their internal one.