I got my first switch in 2017 and still use it as my main console. I used to be a hardcore gamer but as I got older approaching my 40s I appreciate its simplicity and catalog. I game occasionally, maybe 2 hours a week, and it allows me to use it on the couch, bed, favorite chair, whereever I feel most comfortable and relaxed after an intense day of work.
That being said, i was excited about a new Switch and must say that I was a bit disappointed because Nintendo always came out with a big surprise regarding their new console designs. On the other hand, I am also just happy that it still retains the handheld form-factor and focus because that's exactly what I love about the original Switch.
Everyone is buying up H100's (and A100's if they can't find H100's). Sure, in 18 month people may lose interest in buying H100's but then there will already be the next Nvidia model everyone wants to buy to get ahead of the competition in terms of compute capabilities.
Bluetooth ususally works pretty reliably for me these days. However, if you connect a larger number of bluetooth devices (headphones, mouse, keyboard, trackpad, etc.) it can become a bit flaky.
Since you don't move keyboards like a mouse or headphones, it helps reduce the number of peripheries connected to your computer, which in turn helps with bluetooth connectivity issues if you have a lot of devices connected.
Btw., going on a tangent, you might like Hummingbird (https://github.com/microsoft/hummingbird). It allows you trained scikit-learn tree-based models to PyTorch. I watched the SciPy talk last year, and it's a super smart & elegant idea.
Author here. I agree with what you said. I wrote my first book with Packt back when I was a student and was like: "cool, a book deal!" Of course, I didn't know about the caveats :P. Yeah, there was very low (/no) quality control. In fact, they introduced a lot of typos during the layouting (apparently, they re-typed the equations by hand!).
However, despite all of that, the book was quite successful, so for the subsequent editions, they gave my book much more attention. Personally, I also got much more flexibility regarding deadlines, etc.
Long story short, yeah, there are definitely issues with quality control, and it's really up to the author to make sure that the content is correct and sound. For this particular book, I must say that I worked with a great layouter who paid a lot of attention to detail this time. Also, with their new layout, they no longer had to re-type the equations, and the typesetting looks so much better now. I am pretty happy with how it turned out this time :)
Not sure. I think Keras is more meant for education and off-the-shelf models, not so much for research due to its abstraction. Or in other words, its less customizable. I think the probably best trade-off between low-level code and coding productivity would be tf.layers, which is also in tf.core now.
