So, we know that it's probably quite cryptic.

The sum, the commands for this is somewhat more cryptic.

As in this cryptic sentence I found in The Guardian recently

The truth is when you're new to this this looks really cryptic.

How are you so good at it? It's filled with cryptic words!

Not just the earliest cryptic reference to four in the morning I can find.

Let's now dive in and understand how to use this cryptic name maximum likelihood estimator.

If you ignore the cryptic from plotting import , then what we do is we define the data.

I'm just writing in some short hand, forgive the cryptic nature of it although I'm saying it out

OK, look, if you're going to be popping up with this cryptic wiseman act on a regular basis, can you at least tell me your name?

If you don't want that prompt, there's a somewhat cryptic command PF quote, greater than, greater than and so on, that you can use to change the prompt.

And apart from some very cryptic rules in checkers, which I won't really discuss here, the board basically tells you everything there is to know about checkers, so it's clearly fully observable.

Then I would have to be really cryptic but I've just given it to you, but by now, it should make a lot of sense and because we practiced every element of it.

This word itself might sound cryptic, but what it really means is for each possible location after the motion, we reverse engineered the situation and guessed where the world might have come from and then collected, we added, the corresponding probabilities.

This is then mapped into a variable called K, which is often called the Kalman gain, where we invert the matrix s, and then finally, we actually update our estimate and our uncertainty using what ought to be the most cryptic equation that you've seen in a long time.