2,504 karma · joined July 4, 2011
Location: Chicago
Remote: Yes
Email: t.lekkas[at]practalis[dot]com
Happy to help non-technical founders solve their problems.Experienced Python/Django developer focused on web application development and data products. Experienced in client facing project/product management roles. Experienced in using & implementing technology in order to resolve client/stake-holder issues. Experienced in managing technical teams in order to deliver on stated objectives.
Location: Chicago
Remote: Yes
Email: t.lekkas[at]practalis[dot]com
Happy to help non-technical founders solve their problems.Experienced Python/Django developer focused on web application development and data products. Experienced in client facing project/product management roles. Experienced in using & implementing technology in order to resolve client/stake-holder issues. Experienced in managing technical teams in order to deliver on stated objectives.
I completely disagree with this statement and I've seen it (or a variation of it) many times over the years. You can have a win rate of 99%, but still lose money if the 1% losing trades/investments wipe out all your wins. The win rate isn't what people should be looking, but the profit expectancy. Other than that, I agree with what your are saying, particularly #2. I don't think the majority of people should be actively trading/investing, they don't have the time to build the expertise and will probably not invest the time in learning about their bias.
As an intro to ML, I am a fan of Courseras ML specialization that is done by the University of Washington (https://www.coursera.org/specializations/machine-learning). It's free, except for the capstone, and the instructors do a good job of giving both theoretical & practical grounding in various aspects of ML.
I am sure others will have good suggestions as well. Good luck.
Care to name some? I don't believe cultivating religious fervor over anything and rejecting information that disconfirms or challenges your beliefs as a positive thing.
They have a free, community, curated data set of ~3200 stocks.
Not that there is anything wrong with John Oliver hopping on the band wagon, that's good thing.
I have no idea if we are in a bubble or not, I'm sure some segments in tech are bubbles. I think focusing too much on whether or not we are in a bubble is a distraction of doing the work in front of us, whatever that work may be. Don't get distracted by the hype of bulls or the bears.
My point is that we have zeroed in on the certification/diploma too much and have begun (until recently) paying too much attention to whether the cert has been attained as opposed to what it is supposed to represent. The reason why I believe this happened is because it is much easier to quantify a diploma or any other certification, "Oh you graduated! That must mean X." It is harder to ascertain whether or not a person who gained a diploma or cert actually deserves it or learned anything in the process.
Start out attending technical meetups (the language your are writing in or a topic your are interested in, preferebly both) in your locale. Build your professional network and don't feel bad about asking if a company/startup is hiring. I would also start saving every last dime in case you get to the point where you are completely burnt out and just have to quit (not ideal, but might happen.) You are probably going to have to slog through a bit more before you find an opportunity.
We (Westerners) tell the world, and ourselves, all you need is a piece of paper and all will be well. This piece of propaganda plays a larger role than any perceived moral inferiorities among the developing peoples of the world.
The reason I upvoted this post was with the hope that comments like this would be made. I'm still solidifying my grasp of ML/math topics so when these posts come up I always hope there are commenters with more experience/education in these topics to further enlighten me.
This bit right here might need some clarification. I believe the current U.S. average time in college is more than 4 years. I'm guessing you were motivated to get your degree as quickly as possible. I don't believe young adults in developed nations have the same motivation. 8 years in the real world will disabuse anyone of a desire to spend more time then necessary in school.
No, we should not.