brockf

9 ms·

1.
by brockf 5y ago
This is most likely due to a selection process that favors either newsworthiness or trustworthiness. It’s a statistical artifact, see e.g. https://twitter.com/rlmcelreath/status/1396040993175126018?s...
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Bias in machine learning: We can do better(strong.io)
1 points by brockf 6y ago|0 comments
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by brockf 7y ago
Most implementations are actually moving in the opposite direction. Previously, there was a tendency to look to aggregate words into phrases to better capture the "context" of a word. Now, most approaches are splitting words into
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Designing, building, and shipping machine learning solutions: Three principles(strong.io)
2 points by brockf 7y ago|0 comments
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by brockf 7y ago
Strong Analytics | Chicago, IL | Full-time Data Scientists, Data Engineers | https://www.strong.io We help companies integrate state-of-the-art machine learning into their products, internal tools, and infrastructure. We've
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by brockf 8y ago
No reason to oversimplify and ignore a lot of important details — they're doing that for you!
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Ask HN: Who is building something great in Vancouver, BC?
4 points by brockf 9y ago|0 comments
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by brockf 9y ago
Survival modeling is exactly what's needed for these situations. It allows you to (a) consider censored data (i.e., active customers who you know stay for at least X months) and, (b) use flexible survival distributions beyond the sta
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Leaving academia to start a data science company: Looking back at our first year(medium.com)
1 points by brockf 9y ago|0 comments
10.
by brockf 9y ago
A quantile-based confidence interval from bootstrapping can yield a 100% confidence interval that does not contain 0, i.e., with 100% of cases positive/negative. But that does not (necessarily) mean that there is a 100% chance that the
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Email optimization 101: How frequently should you email your customers?(optimail.io)
2 points by brockf 10y ago|0 comments
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Why you should move beyond A/B testing for email campaign optimization(optimail.io)
2 points by brockf 10y ago|0 comments
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Predictive Model ROI ($) Calculator(strong.io)
1 points by brockf 10y ago|0 comments
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by brockf 10y ago
Data security is hugely important. Here are a couple things we do to deal with it: (1) We cleanse the data of Personal Identifiable Information (PII) as quickly as possible (i.e., before it touches our servers), and (2) We host our database
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by brockf 10y ago
We were all drawn to applying the statistical, experimental, and algorithmic approaches we learned in graduate school (and in our spare time) to a range of problems in industry. Every project has a big learning component that keeps things e
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Show HN: My friends and I started a data science consulting firm after our PhDs(strong.io)
8 points by brockf 10y ago|5 comments
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by brockf 10y ago
Author, here. In this post, I review the various ways that we put our email marketing optimization algorithm to the test, starting from simple sim environments in R, to scrappy real-world tests, more complex simulations, and ultimately a pr
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Testing an AI algorithm from concept to production(optimail.io)
7 points by brockf 10y ago|1 comments
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by brockf 10y ago
Hey thanks! I'm Jacob's co-founder at Optimail. We only just launched yesterday, so I think we are still working to find that exact product-market fit. At the moment, however, we're targeting medium- to large-sized businesses
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by brockf 10y ago
I'm excited to announce the public release of Strong Analytics' new product, Optimail.io. Optimail uses AI to send, manage, and optimize your drip email marketing campaigns. It's a replacement for complex decision trees, A&#x
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Show HN: Automatically optimize your drip email marketing campaigns using AI(optimail.io)
17 points by brockf 10y ago|3 comments
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by brockf 10y ago
To your first point, I'm not sure how this helps the sufferers. What they have shown is that there is a different neural signature correlating with a different emotional response. There's no causal link here, meaning that I might
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by brockf 10y ago
I never said it wasn't the first step, but it's heralded (by the media at least) as much more than that -- an explanation or a conclusion.
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by brockf 10y ago
How is this an "explanation" or "cracking" the problem? They showed that an emotional response was correlated with neural behavior... what else could it have been? More broadly, it's frustrating that neuroscientists
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Free data science audit: How does your organization's data strategy stack up?(strong.io)
3 points by brockf 10y ago|0 comments
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by brockf 10y ago
Great points. It's definitely more challenging than learning to play a simple arcade game or something, where feedback is invariant and often instantaneous. To address these challenges, we use a combination of (1) heuristics tailoring
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by brockf 10y ago
At our data science company, we're building a marketing automation platform that uses deep reinforcement learning to optimize email marketing campaigns. Marketers create their messages and define their goals (e.g., purchasing a product
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by brockf 10y ago
It's great to see more hacker-friendly introductions to reinforcement learning. Like most facets of machine learning, there are so many interesting applications of reinforcement learning (e.g., we're using RL to optimize email mar
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Introducing Optimail: Email marketing powered by artificial intelligence(strong.io)
5 points by brockf 10y ago|1 comments
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Optimail – Email campaigns powered by artificial intelligence(optimail.io)
3 points by brockf 10y ago|0 comments

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