dcl

14 ms·

151.
by dcl 6y ago
> It's shocking how many data scientist I've known how no idea how to correctly model churn, This is because most 'data scientists' have never actually studied much statistics. And for the rest, it's easy to forg
152.
by dcl 6y ago
> To me, it talks about everything but actually deploying a machine learning model in production. This seems to be a common theme of a lot of articles about 'how to put ML models in to production'.
153.
by dcl 6y ago
Ahh got ya.
154.
by dcl 6y ago
My apologies. To me, it seemed that labelling the ideas of privileged access and secret order types to be so egregiously wrong and not worthy of discussion a bit dismissive when there has been evidence that these sort of activies have occur
155.
by dcl 6y ago
Poker is a high variance game. Aside from trying to get your money in while you think you've got an edge, you need to manage your bankroll through long periods of bad luck - make sure you're able to keep playing tomorrow, even if
156.
by dcl 6y ago
I think poker is a great introduction to many really interesting and useful ideas. From basic maths to probability and statistics, simulation/programming, game theory, decision theory, portfolio management, all the way to cutting edge
157.
by dcl 6y ago
So according to this person, this event never happened and absolutely does not continue to happen? https://www.reuters.com/article/sec-bats-settlement-idUSL1N0...
158.
by dcl 6y ago
Thanks for this link. There are a lot of things in there that I _know_ to be true, but find really hard to live out. I need a reminder every now and then to ensure I don't get stuck in the same shitty job answering to people who are go
159.
by dcl 6y ago
I will definitely look at using this for some personal projects. The R API is greatly appreciated. Thanks for alerting me to it.
160.
by dcl 6y ago
How big is the HFT industry in the Netherlands? Is this just something you can chose to do?
161.
by dcl 6y ago
If you're interested in evaluating and rating/ranking agents, it might be worthwhile checking out DeepMind's multidimensional Elo rating system ( https://arxiv.org/abs/1806.02643 ) which attempts to solve
162.
by dcl 6y ago
that's awesome
163.
by dcl 6y ago
I find this stuff super fascinating. Is there any good books that cover similar/related topics?
164.
by dcl 6y ago
Not an accountant or financial analyst, but how does the money these giant public tech companies make from the NSA/other appear in the mandatory financial reports? I'm guessing it must be easily hidden.
165.
by dcl 6y ago
Calling it now, this is going to result in a huge scandal. Due to the sheer size of investments based on the index, influencing those opinions will become very valuable for certain players.
166.
by dcl 6y ago
Is your website colour palette inspired by Cividis?
167.
by dcl 6y ago
Great question. I work for a small AI consulting firm, every large corporate client we've approached asked us to work within their own systems. They would never let data outside their network for us to work on. Worse, they would make u
168.
by dcl 6y ago
A bit more recent than the dot com boom but yeah good book.
169.
by dcl 6y ago
I live in Australia. What was going on in NYC at the time never even crossed my mind. Will check it out.
170.
by dcl 6y ago
I've actually read that. Was very good.
171.
Ask HN: What are the best books on Silicon Valley and the dot com boom and bust?
7 points by dcl 6y ago|6 comments
172.
by dcl 7y ago
Great timing. I was just pondering what functional programming language I should attempt to learn in all my new downtime.
173.
by dcl 7y ago
I'm not terribly convinced of point 4. > Machine learning will be most productive inside large organizations that have data and process inefficiencies. I strongly believe ML is at worst dangerous and at best pointless here. Data and
174.
by dcl 7y ago
How do I read this? It looks like it has been pulled down for further review/work.
175.
by dcl 7y ago
Hah. Sadly, it's what I'm marketed as, because that's whar sells. 'Statistics based marketing/lead programs' doesn't sell. 'Cutting edge AI for customer level personalisation' does.
176.
by dcl 7y ago
I'm Data Science/ML/AI consultant (trained as a statistician) and have found that most of my job to be completely pointless. This article beautifully captures my frustrations and has helped me sharpen my view on what I really
177.
Bullshit Jobs in Statistics(rss.onlinelibrary.wiley.com)
3 points by dcl 7y ago|3 comments
178.
by dcl 7y ago
No doubt. Just wanted to share my experience, and the potential risks of starting a large project (or acquiring one) in a language most 'coders' aren't familiar with :o
179.
by dcl 7y ago
The new ownership probably had no idea what they actually bought. I think to be fair, whilst it may have been cheaper to hire new devs than rewrite everything, it would have taken a while to learn and become proficient enough to use and pro
180.
by dcl 7y ago
This is my experience with haskell: I work for a small data science consulting company whose major components of a machine learning pipeline were written in haskell. The company got bought by a large corporate and shortly after, all the has

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