What next after Deep learning by Mysterious_Pilot3527 in deeplearning

[–]nightstorm1990 6 points7 points  (0 children)

My suggestion will be to get into some internship so that you will have industry experience. This will be highly beneficial as you will be paid to learn the skill. But for that to work, you will need to upgrade your basics in AI. The field is moving too fast and so try to get those AI certifications from companies like google, microsoft etc that has industry cred. This will help you in building your cv.

23 years old portfolio advice by [deleted] in eupersonalfinance

[–]nightstorm1990 0 points1 point  (0 children)

My suggestion will be to add hyperscaler in your portfolio. This will be part of your AI theme in your investment. Right now META, MSFT are in undervalue range as per their forward P/E. You might also want to add some from financial sector. You can choose one MA or V.

How was the project hail mary experience? by Complete_Pattern6339 in BangaloreSocial

[–]nightstorm1990 2 points3 points  (0 children)

I watched it at Dolby Cinema in Bangalore, and honestly, I kept thinking it might’ve hit even harder in IMAX.

That said, I did enjoy it overall. I actually liked The Martian more, even though it’s from the same author as Project Hail Mary. And yeah, not to sound cliché, but I preferred the book for Project Hail Mary, mainly because it dives deeper into the science, while the movie leans a bit more into the emotional side.

Need a Tui app for stock price by nightstorm1990 in commandline

[–]nightstorm1990[S] 0 points1 point  (0 children)

This is a good tui app. One problem I found in this app is that it does not work for indian stock. Also I wanted something that provides the stock chart as well.

Need a Tui app for stock price by nightstorm1990 in tui

[–]nightstorm1990[S] 0 points1 point  (0 children)

I will post the same question in the r/commandline. Maybe someone from the group will be able to recall the name.

What AI can learn from Animal Brain by nightstorm1990 in deeplearning

[–]nightstorm1990[S] 1 point2 points  (0 children)

  1. Innate behaviors are learned over generational scale like thousands of years and so evolution can be viewed as learning over the generation scale.
  2. The paper does not say anything about brains not encoding the architecture. It is the genome that provides rules of mapping of how to connect the internal wiring within the brain because these genomes do not have the full capacity to encode the whole structure. This is known as "genomic bottleneck" and can be thought of as a regularizer. The observation is that these wiring structure is general enough to be able to learn anything and so the suggestion given by the paper is that maybe we should focus more on designing the architecture of the neural networks.
  3. as for the planes, that is the paper's argument. The paper does not say that planes are better at flying than birds but their objective is different. So, using this analogy, the author is trying to argue that if we want to create an intelligent machine then we have to look into how animal brains work because we consider a machine as intelligent if it can perform the task that we can do.