Eat when you feel hungry.
Stop before you feel full.
HN user
Eat when you feel hungry.
Stop before you feel full.
How does it compare with, Spiking Neural Network? Both use vectors (but in different way) to encode more information
How about DBN? It is also a generative model but why now rarely used?
ML researchers following trends, like doing end-to-end CNN for whatever problems, and using this LSTM and that GRU and that latest architectures; in similar fashion like web devs picking and dropping javascript frameworks.
For me, this book's first chapters explained nicely about ML, MAP and Bayesian using real computer vision problems. The author included helpful visual aids (gaussian plots, contour plots, filters output, etc) http://www.computervisionmodels.com
This is a rather unusual book where it gives primer on probabilistic method that is actually applicable in non computer vision problems. It is Bayesian heavy and rarely touches neural networks; the book is released in 2012, the year deep learning boom started.
This. Until your side hustle income is roughly the same as your day job, don't quit.
Can elaborate more on that?
Currently I know Python and am using Django.
I am too lazy to learn Ruby. Is it worth it to learn Ruby just to use Rails?
How does it compare with Sony's e ink tablet with stylus? Seems too similar except it is made by startup
BeOS has extreme task scheduling to give smooth UI, for example if you run too many programs at once, BeOS network connection has noticeable stutter even if your UI seems slick enough
I thought recently they made e ink monitor. But not laptop though.. More like a giant tablet http://www.dasung.com/english/
Bayesian machine learning for neural networks. Currently learning PyMC3 and Edward.
What is the reliable way to not miss your station when napping? I stay awake in commute because of this.
MNIST is too complex, they still relied on conv layer for experiment and barely explained why it is robust. Others are also struggling on why vector is better than scalar activations. Somebody need to make 2D XOR classification example.
Verilog and VHDL, and related software suite; Quartus, ISE, Vivado, etc.
emotionally invested in the site.
Sorry but can you elaborate more?
True, for example, AWS is doing fine for years with manual customer services despite its scale.
Version control will be on the list starting next year.
The fact that you make quant software trading millions of dollar without version control surprises me. Is the quant industry really like that?
Are there decent recent implementations in python of these? Or tutorials of some sort?
One thing that kind of blows my mind still is how the engineers I work with (some of the best most logically discerning minds) can believe in religion.
Be like the inmates in the US who had nothing to do in their lives but lifelong learning, then studied every religion, ideology, -ism they can find and then ultimately reverted to Islam.
Understanding Islam push your logic to its limits while appreciating its limits (i.e. you cannot understand the unseen/ghaib with mind alone, you need to accept the revealed knowledge). In Islamic theology, both acceptance and understanding of the revealed knowledge (Quran and Sunnah), AND using logic to understand the theology itself, are important. Islamic theology at the basic level is easy, however once you go deeper, things get real tough to comprehend -- you need logic at its best to be able to understand.
For a muslim, I would suggest to be extra careful with choice of words describing God especially with point No. 3 and 4.
I don't know if I understand what you really meant to convey (your context, nuances, etc.), but you would not want to accidentally commit subtle shirk and invalidate your faith without even noticing.
We don't think about God. We think about God's creations instead.
If you leave something really long enough, you will stop needing it. Of course you may have relapse, but, never stop trying.
I did something similar with gaming. It works.
We are in hard times where good and bad are subjective.
When things go wrong, no third party to blame/be liable/rely onto if using cryptocurrency. Too much risk.
Remeber Koniku? (http://koniku.io/) Biology and Biotech are different beasts.
Saw their Ted talk, looks promising, but seems they delayed a lot.
Yaser Abu-Mostafa's Learning From Data.
Theory-heavy tough course but in the long run, really worth it.
Vue.js is like perl. Too many ways to do a single thing
So what is npm install of C/C++ ?
You may need a friend or partner of some sort to finish stuff together. Make your effort accountable to each other.
Doing things alone almost always have that kind of risk.
What is the best way to reduce pain from using ctrl with pinky finger? (emacs pinky?)
Purely enjoyment.
Like we know what we actually enjoy for many years to come.
You know why "follow your heart" is such a terrible advice.