Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., The use of multiple measurements in taxonomic problems. 1999) and more.

Optimization 76

Optimization Machine Learning Data Science Measurement 76

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 43

Advertising Testing Sales Statistics 43

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. Identification We now discuss formally the statistical problem of causal inference. we drop the $i$ index.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Peter James Thomas

OCTOBER 1, 2019

Sometimes the bars are clustered to allow multiple series to be charted side-by-side, for example yearly sales for 2015 to 2018 might appear against each product category. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below. Cartograms.

Sales 61

Sales Measurement Statistics Data Architecture 61

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Conduct validation in the error process—This method measures how good the guesswork was by comparing it to known examples when available.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This was not statistic and we have not really explored this in any greater detail since. I suspect we should. There really is not one plan per se for everyone.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. AND you can have analysis of your risk in almost real time to get an early read and in a few days with statistical significance! One of my biggest learnings?

Marketing 142

Marketing B2B Measurement Risk 142

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 31

Statistics Uncertainty Risk Marketing 31

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. When exploring river and coastal flooding for the USA on a city level, river flooding area had a drastic increase starting from 2015. Here is the link to Tellius’s Show Floor Showdown video.

Optimization 52

Optimization Machine Learning Insurance Data Science 52

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. If you want to go deeper into the topic, take a look at our misleading statistics blog post.

Visualization 267

Visualization Metrics Statistics Dashboards 267

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Back in 2015, when around 46.3 It measured the positions, motions, and distances of over 100.000 stars, and it had a major impact on much of the astronomy research that has been carried out to this date.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. One way to correct for this bias in the data is to look at the statistics of “excess deaths,” the numbers when compared with previous years. Mike: But I lost! How can you say always ?!? The decision-making process was fine.

Uncertainty 357

Uncertainty Testing Risk Reporting 357