Archived threads in /sci/ - Science & Math - 854. page

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>2047
>Ray Kurzweil dies
>Aubrey degree is degraying and has developed bone cancer

Where are your dreams of immortality now?

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Redpill me consciousness and the self /sci/

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Stephen Hawking is a fucking meme of physicist and is ignorant. Compare him to physicists and mathematicians of the past such as Isaac Newton and Albert Einstein.

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How do you review all of math to be ready for Calculus 1 AKA limits, derivatives of algebraic and transcendental functions; optimization; linearization; numerical methods; modeling

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very real problem and I had argument with trades teacher.

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Welcome to the 5th day of the Daily Math Challenge Thread! Work on math problems, post your solutions, and feel free to add your own problems!

Today's problems are two indefinite integrals, with the theme being trig sub. Have fun!

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REV UP THOSE ROCKET BOOSTERS

>http://www.arianespace.com/mission/ariane-flight-va235/

IT'S LAUNCH DAY MOTHERFUCKERS

>T minus -00:30:00

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Should high school math start with abstract algebra before everything else or are kids too stupid?

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Pajeets are launching a rocket tomorrow/today. They've packed the rocket like they pack their cities. 104 different payloads.

Time given is IST. Converting it into a civilized timezone is left as an exercise for the reader.

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>mfw in Physics lecture
This shit is so hard to grasp conceptually. I've made a huge mistake.

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Alright /sci/, I need some advice.

I'm finishing my masters in comp. sci. this summer. I've specialized in AI and Machine Learning and I got an interview as a junior Data Scientist at a pretty big company. They liked me at the interview and they've sent a business case which I'm working on ATM. This is the data I have:

Costumer data about how much an individual spent during a year.
Data entries containing two of customers, a measurement of how much they shop together, and the zip code that they both share.

So I'm basically supposed to, from a pretty crude document, attempt to blow them away by finding correlations in the data and explain my line of 'business thinking'. The questions I'm supposed to answer is "What are the correlations between the attributes?" "Are customers often paired with others who have similar number of friends/money spent?" and I'm pretty lost actually.

I've created some covariance matrices to show that the variables (money spent, shopping together) are dependent. I've also done some clustering and attempted to show that the number of friends aswell as the frequency of shopping correlates to groups that reside within the same ZIP code.

How would you guys use this data? I find it really hard to apply machine learning here. I'm mostly just falling back on basic statistics.

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>You can construct anything from zero-dimensional points if you have enough of them.

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Don't think I've seen one of these threads here before. Basically ITT we talk about /sci/ themed novels.
I've just finished reading Children of Time; I thought it was a really fascinating read, tying together concepts like diety, generation ships and how alien evolution shares similarities and differences to ours. Ending was a tad rushed I would've liked some more storytelling regarding the final 'encounter'.
Anyone got any good novels like this for me? I've read the everloving fuck out of the Culture novels, they'll remain my faves for a long time would recommend to anyone!

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>study physics
>only jobs available are in software engineering or teaching

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I found a problem with maxwells equations

Lets say you have a magnetic field and its changing and the flux lines cut through a conducting loop. They you can begin with with faradays law, knowing the magnetic field you can get the emf. like the following.

[math] \varepsilon =-\frac{d \Phi }{d t}, if, \Phi =-t, then, \varepsilon =1V_{DC} [/math]

This is trivial. What is not trivial is the reciprocal scenario.

Lets say you have a battery and it outputs 1volt DC. You attach a wire to both terminals and create a closed loop. Plugging 1volt into faradays law you get that the magnetic field is the same as in the previous example but added to it is a arbitrary constant.

[math] \varepsilon =-\frac{d \Phi }{d t}, if, \varepsilon =1V_{DC}, then,\Phi =a-t [/math]

prove the second example wrong.