Decentralized meta-learning

One of the most important things in mountaineering is the weather, so ladies and gentlemen, I present you Gasherbrum2 web app (not very inspired name, but it is what it is).

To make a long story short I am going to lay down only a few DOs/DON'Ts (as a reminder for myself), the raw and uncut (but spellchecked) journal, and the expenses for the curious minds.

I need to choose between a 229 EUR down hoody that weights 319g and one that is 269 EUR and 420g… which one will you go for?

Always changing gear list, updated for high altitude mountaineering Gasherbrum2 expedition.

Naming conventions:

• type - product category, REQUIRED (e.g. sleeping bag)

• brand:

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With only two months remaining until the Gasherbrum2 expedition I put together a training plan, kind of writting in stone, let's see how it goes.

The second market wizards book, named simply New Market Wizards was actually published before the Hedge Fund Market Wizards book, a bit older but as the saying goes… oldies but goldies.

I don't know about others but when I started digging into machine-learning I had some problems understanding bias-variance until I found a nice target shooting analogy.

Historical volatility (also called realized volatility) measures how far the normal standard deviation is from expected mean, over a given period of time.

Very simple pivot-point indicator that tries to detect whales' presence by checking the spikes in volume at the same UTC hour for the last 3 days.

Greeks or Options Greeks are tools/statistics which measure sensitivity (responsiveness, calculus anyone?) of option price to changes in various parameters: underlying price, volatility, time, etc…