Remove 2009 Remove Optimization Remove Statistics Remove Strategy
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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. Machine Learning-based detection – using statistical learning is another approach that is gaining popularity, mostly because it is less laborious. 3f" % x) dataDF.describe().

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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

eBay's green line is very close the performance of the category (and you'll see that often at peaks in the shopping category queries, eBay actually does worse starting holiday season 2009). They are full of specific insights you can use to optimize your online search campaigns. Amazon is an interesting example. Five Caveats!

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

On the one hand, basic statistical models (e.g. When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots.

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Brand Measurement: Analytics & Metrics for Branding Campaigns

Occam's Razor

Ideally you'll measure the number prior to your branding campaign, say Feb 2009, and then you'll measure it again during your campaign, March 2009. You can accomplish these goals: ~ Get an optimal understanding of what kind of people you ended up attracting to your website (look at primary purpose & distribution).

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Data Science at The New York Times

Domino Data Lab

When he retired in 2009 he had some time on his hands. or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?” They want to know what’s the optimal treatment. ” And Mark said, “Yes, we’ve got a lot of data. Please help us make sense of it.”