Domino Data Lab

OCTOBER 2, 2019

Introduction. Chapter Introduction: Causal Inference. This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. A complementary Domino project is available. .

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. 1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

AUGUST 8, 2019

Introduction. Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Welcome back to our monthly burst of themespotting and conference summaries. In mid-July I got to attend Sci Foo , held at Google X. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

APRIL 17, 2017

Introduction Time series forecasting enjoys a rich and luminous history, and today is an essential element of most any business operation. So it should come as no surprise that Google has compiled and forecast time series for a long time. Hand-Drawn Time Series of Google “Results Pages”, November 1998 through July 2004.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Edwin Chen

MARCH 19, 2012

A data-curious one, of course, so you start by taking a set of foods (pizza, salad, spaghetti, etc.) One way is to use a standard clustering algorithm like k-means or Gaussian mixture modeling (see this previous post for a brief introduction). Imagine you’re a budding chef. Indeed, we’re limited to 10 clusters!)

Modeling 81

Modeling Statistics IT 81

Domino Data Lab

AUGUST 22, 2019

Introduction. Introduction. Chapter Introduction: Natural Language Processing. Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. A complementary Domino project is available.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

DECEMBER 11, 2019

Data teams have become the key to many organizations’ success , and the transformation of data into insights is now a critical business process, as Sisense Israel Sales Country Manager, Davidi Boyarksi, explained in his introduction. With data growing at a staggering rate, managing and structuring it is vital to your survival.

Data Lake 80

Data Lake Big Data Sales Data-driven 80