O'Reilly on Data

NOVEMBER 13, 2018

Below are the top search topics on our training platform: Beyond “search,” note that we’re seeing strong growth in consumption of content related to ML across all formats—books, posts, video, and training. Classification parity means that one or more of the standard performance measures (e.g.,

Machine Learning 225

Machine Learning Risk Management Statistics 225

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

erwin

APRIL 21, 2020

The easiest way to understand a data catalog is to look at how libraries catalog books and manuals in a hierarchical structure, making it easy for anyone to find exactly what they need. The company measure sales down to a zip-code territory level across product categories.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. At a glance, here are the primary changes FRTB introduces: A shift from value-at-risk (VaR) to an expected shortfall (ES) measure of risk under stress.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52