Smart Data Collective

JUNE 26, 2019

This library was developed in 2007 as part of a Google project. There are two essential classifiers for developing machine learning applications with this library: a supervised learning model known as an SVM and a Random Forest (RF). Some of the Premier benefits include: Regression modeling. Advanced probability modeling.

Machine Learning 77

Machine Learning Statistics Testing IoT 77

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Ontotext

MAY 26, 2021

Consider an example in which our first data source says that Microsoft invested $240 million in Facebook and the second – that on October 24, 2007 Microsoft invested in Facebook. But, before we can have any larger scale implementation of these rules, we have to test their validity. However, this is not always so straightforward.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Awesome Power of Visualization 2 -> Death and Taxes 2007. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Experimentation and Testing: A Primer.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

SEPTEMBER 19, 2011

How do you get over the frustration of having done attribution modeling and realizing that it is not even remotely the solution to your challenge of using multiple media channels? You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. The nice thing is that you can also test that!

Measurement 119

Measurement Advertising Testing Marketing 119

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. Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52