Jet Global

AUGUST 4, 2023

Programming/Scripting Languages The most common programming/scripting languages for finance and data people are SQL, R and Python. With Power ON you get the power of real-time, collaborative data-collection, forecasting, commenting, and what-if scenario modeling all within Power BI. You can decide for yourself.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Creating an MLOps process builds in oversight and data validation to provide good governance, accountability and accuracy of data collection.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. So, we have an army of glorified data regurgitators. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. This was not statistic and we have not really explored this in any greater detail since.

Analytics 64

Analytics Measurement Modeling Data-driven 64

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. Mike: But I lost! How can you say always ?!? The decision-making process was fine.

Uncertainty 275

Uncertainty Testing Risk Reporting 275