Domino Data Lab

JUNE 8, 2021

Selecting the optimal decision boundary, however, is not a straightforward process. The distance from an arbitrary data point (boldsymbol{x}_i) to the optimal hyperplane in our case is given by. We now turn our attention to the problem of finding the optimal hyperplane. Derivation of a Linear SVM.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Occam's Razor

MAY 14, 2012

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!

Measurement 128

Measurement Analytics Advertising Marketing 128

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. Remember that the raw number is not the only important part, we would also measure statistical significance. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

SEPTEMBER 29, 2009

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).

Measurement 128

Measurement Metrics Analytics Marketing 128

Domino Data Lab

APRIL 21, 2021

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().

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64