If you are worried about water boiling of for human habitation, this is not a problem at all. Domiciles will be pressurized, and water will boil at Earth’s temperature.
Yes, but pressurization adds cost and risk. There's also the issue of water outside the domicile; now we need pressurized water bottles (or whatever). We need pressure suits.
Think of that - in our Venus cloud city, humans can wander around outside without pressure suits (though they still need breathable air and protection from other environmental hazards). No pressurization is needed inside facilities. Machines designed to function in Earth's gravity and pressure will work on Venus (ignoring other significant environmental issues). Venus, in that regard, is more economical and safer than Mars. I don't know how that balances with other costs and risks of the two planets.
The passing of exoplanets (planets outside or solar system) if front of the host star is not the only way to detect the planets. The most common method used to be the Radial Velocity method.
Essentially, planets and stars orbit a common center of mass (which often lies witching the star’s radius). This effect essentially wobbles the parent star. Because we know the constituents of the star and it’s spectrum, this wobble causes a period red and blue shift (the Doppler effect). From the magnitude of this effect you can describe a lot of the planet’s orbit, but not everything. For example: you can describe the minimum mass of the planet but not the actual mass.
I’m not sure if the have used the radial velocity method of this star, but assume they would have.
You can measure the position of the star in the sky and use that to detect systems that are "face on" to us (with the axis pointing at us) but it's harder.
Sounds like 'harder' is an understatement - according to that article no planets have been discovered with this technique, and it is unlikely to yield any discoveries any time soon. (Technique is to directly observe the star wobbling in space rather than measure doppler shifts.)
We mocked up a simple tool that is useful to label datasets (contained in a DB) for sentiment analysis, via the command line. This allows quick labelling to prototype classifiers on your datasets, when prelabelled data is unavailable.
Suggestions and criticisms welcome. We hope you find it useful.
The simplest approach I think would be to start with Khan Academy. Well spoken clear and concise. You can go from a Highschool level towards subjects from first year university. Once there, it should be easier to self teach from books.
I can recommend this path, studied almost all my pre-engineering math this way 2011 and were better equipped for initial engineering courses then most of my peers. However it kinda capped out at high-school level (or atleast Swedish equivalents).
Interesting. Truth be told, I remember when it was simply him on YouTube. I guess to carry on, one would have to go for 3Blue1Brown to get the fundamentals of university math.
I agree, because I'm on this path myself and have been for 200 days. I started by brushing up on my algebra and now I've reached integrals in AP Calculus AB.
High quality multi touch attribution models are still fairly new and I've not seen much public literature on the designs. We've had to spend a fair amount of time in development ourselves vs. relying on existing methods.
To the first order the author can say they have. That’s reasonable enough given the scale of the operation. Higher order effects are for higher order budgets.
This is part of a build process for an auto-moderator for the AskHistorians' subreddit. The full project description is available here:
https://github.com/kodiaklabs/AskHistoriansBot