The document contains two tables with numeric data. The first table has 25 rows and 13 columns of numbers from 0 to 1. The second table has 16 rows and shows ratings from 1 to 5. Overall, the document presents quantitative data in table formats without additional context or explanation.
DSD-INT 2016 Urban water modelling - MeijerDeltares
Presentation by Didrik Meijer, Deltares, The Netherlands, at the Delft3D - User Days (Day 1: Hydrodynamics), during Delft Software Days 2016. Tuesday 1 November 2016, Delft.
Your App Metrics Are Telling You How To Make Them Better: The Digits Data ReportBraze (formerly Appboy)
Digits, Appboy's new mobile marketing benchmarks report, draws on data from more than 500 apps and 6.5 billion push notifications to provide a truly comprehensive look at today's mobile marketing landscape.
This session of Relate Live discussed current app engagement metrics benchmarks, and what marketers can do to improve their results. In this presentation, you'll learn:
- App engagement and push messaging benchmarks
- Tips you can implement today to improve crucial KPIs, based on how your metrics measure up to benchmarks
Presented @ Bigdata Singapore Meetup. Good Enough Analytics is a methodology I am working on to achieve decent analytical results at a reasonable cost. Warning: For the consumption of Data Nerds Only. For 99% of normal humans, these slides are snooze inducing =P.
In-silico study of ToxCast GPCR assays by quantitative structure-activity rel...Kamel Mansouri
The EPA tested several thousand chemicals in 700 toxicity-related in-vitro HTS bioassays through the ToxCast and Tox21 projects. However, the chemical space of interest for environmental exposure is much wider than this set of chemicals. Thus, there is a need to fill data gaps with in-silico methods, and quantitative structure-activity relationships (QSARs) are a cost effective approach to predict biological activity. The overall goal of this project was to use QSAR predictions to fill the data gaps in a larger environmental database of ~30K structures. The specific aim of the current work was to build QSAR models for multiple ToxCast assays using a subset of 1800 chemicals tested in 18 G-Protein Coupled Receptor (GPCR) assays. These assays are part of the aminergic category which was among the most active within the biochemical assays. Using PLSDA for the human histamine H1 GPCR assay, the classification accuracy reached 94% with a non-error rate of 89% in fitting and 80% in 5-fold CV, with only 2 latent variables. These results demonstrate the ability of QSAR models to predict bioactivity.
Appboy analyzed 3.5 billion sessions from users in the U.S. on November 8th, 2016, comparing the day to the four previous weekdays for a look at smartphone activity by state, and by time of day.
Geneve Monitoring event - InfluxDb and Loud ML presentationSebastien Leger
The presentation that was delivered at Seedspace for Geneve Monitoring Meetup on March 8, 2018. This talk was an introduction to Loud ML machine learning API and its integration with InfluxDb and Chronograf.
Tableau for statistical graphic and data visualizationBAINIDA
Tableau for statistical graphic and data visualization Somkiat Kraikriangsri – Enterprise Sales
Marut Veerawatyotin – Sales Consultant
THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE