Remove 2012 Remove Interactive Remove Measurement Remove Statistics
article thumbnail

A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. trillion gigabytes!

article thumbnail

The curse of Dimensionality

Domino Data Lab

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. In Apache Spark, a SparkSession is the entry point for interacting with DataFrames and Spark’s built-in functions. config("spark.jars.packages", pydeequ.deequ_maven_coord).config("spark.jars.excludes",

article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

article thumbnail

Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What cannot be measured? What is MMM?

article thumbnail

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). That’s a lot of data per person on our little globe, by any measure. This is an increase from 64.2

Big Data 103
article thumbnail

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. machine learning?