recentpopularlog in

analytics

« earlier   
Football Outsiders Almanac 2018 Preview Q&A: A LA Rams offense renewed - Turf Show Times
Last year, the Los Angeles Rams turned their offense around in historic fashion. How does FO incorporate that into their statistical models, and what might it portend for 2018?
We’re partnering with Football Outsiders again this year to promote the release of the Football Outsiders Almanac 2018. FO continues to raise the bar for quantitative analysis, and the 2018 almanac is proof positive. In our five-part preview, we’ll look at how they modeled the 2017 Los Angeles Rams and what they’re looking at for 2018 with FO’s Bryan Knowles (@BryKno).
How does FO account for something like the 2017 Los Angeles Rams’ offense? How is possible to project for (a) the springboard effect afforded the Rams by having set up the roster well albeit being poorly coached by Head Coach Jeff Fisher’s staff and (b) the combination of a new coaching staff (yes, more capable, but perhaps that can be put aside) with key personnel changes? As anomalous as that is, how do you guys even attempt to build it into your models?
rams  football  statistics  preview  analytics 
12 hours ago by rgl7194
Top 10 Android Analytics Platforms in 2018 | Appsee Blog
Обзор аналитических инструментов для Android
tools  android  analytics 
20 hours ago by gevorg
Agile Analytics, Part 3: The Adjustments
Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering?
In this post I discuss some adjustments to the scrum methodology to make the process work better for Analytics and Data Science teams.
agile  analytics  scrum  project_management  data_science  science  resources 
21 hours ago by jkglasbrenner
Agile Analytics, Part 2: The Bad Stuff
This is part 2 of my 3 part exploration of the following question: are Agile engineering practices applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering? For the agile fans, in part 1 I gave an intro to agile and talked through what I like about the scrum development process for analytics. For the agile nay-sayers, in this post I explore the elements of agile that do not work particularly well with Analytics (issues range from annoyance to do...
agile  analytics  scrum  project_management  data_science  science  resources 
21 hours ago by jkglasbrenner
Agile Analytics, Part 1: The Good Stuff
Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering? In this post I am going to explore some of the pros of using a scrum-like work management process in analytics.
agile  analytics  scrum  project_management  data_science  science  resources 
21 hours ago by jkglasbrenner
Atheon Analytics
Humanising data through
Visual Analytics.
retail  data  analytics  ml  UK 
yesterday by shalmaneser
Exist · Understand your behaviour.
Track everything together. Understand your behaviour.
analytics  dashboard  tracking 
yesterday by kerolic

Copy this bookmark:





to read