Big Data Data mining Knowledge Discovery Modeling 
Data Science 101
DECEMBER 11, 2019
This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.
FineReport
DECEMBER 19, 2019
For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.
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The Unofficial Google Data Science Blog
JANUARY 14, 2016
by AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data.
The Unofficial Google Data Science Blog
JULY 22, 2020
In practice, one may want to use more complex models to make these estimates. For example, one may want to use a model that can pool the epoch estimates with each other via hierarchical modeling (a.k.a. These MAB algorithms are great at maximizing reward when the models are perfectly specified and probabilities are accurate.
The Unofficial Google Data Science Blog
FEBRUARY 29, 2016
Rare binary event example In the previous post , we discussed how rare binary events can be fundamental to the LSOS business model. Say we build a classifier to classify user sessions into two groups which we will call “dead” and “undead” to emphasize the importance of the rare purchase event to our business model.
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