O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can see a simulation as a temporary, synthetic environment in which to test an idea.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Domino Data Lab

APRIL 3, 2019

Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Sisense

JUNE 9, 2021

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Team data can also be analyzed as a network, in which nodes represent players and the lines between the nodes represent interactions, such as passes between teammates.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 118

Analytics Consulting Metrics Experimentation 118

The Unofficial Google Data Science Blog

MARCH 31, 2016

Thompson sampling is an "explore/exploit" algorithm which was designed for Bayesian models, and its strategy is to randomly select a choice (called an "arm") with probability proportional to the posterior of that choice being the best option. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood).

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

APRIL 16, 2019

Download the list of the 11 essential steps to implement your BI strategy! Data driven decision making (DDDM) is a process that involves collecting data based on measurable goals or KPIs, analyzing patterns and facts from these insights, and utilizing them to develop strategies and activities that benefit the business in a number of areas.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287