O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. References.

Modeling 208

Modeling Finance Uncertainty Data mining 208

Smart Data Collective

MARCH 23, 2022

However, we have witnessed a significant uptick in ADA cases being filed against website owners since 2017. between Q1 of 2017 and Q1 of 2018. Here are some strategies you can take to employ artificial intelligence to adhere to ADA policies: Be aware of ADA web accessibility tools that use AI. That’s a lot of cash!

Cost-Benefit 128

Cost-Benefit Data mining Sales Testing 128

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. With Big Data, it is possible to acquire and segregate data with laser sharp focus with respect to one singular debtor. By clubbing various techniques like data mining, machine learning, artificial intelligence and statistical modelling, it makes predictions about events in the future.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

CIO Business Intelligence

AUGUST 11, 2023

Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining. SpaCy , an open-source library for advanced natural language processing explicitly designed for production use rather than research. Amazon Comprehend. This Amazon service doesn’t require ML experience.

Unstructured Data 142

Unstructured Data Machine Learning Data Science Data mining 142

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). The class imbalance problem: Significance and strategies. Cost, S., & Salzberg, S.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

BizAcuity

FEBRUARY 8, 2019

Analyzing raw data, data mining, analytical processing, querying and reporting – these are some of the many things that business intelligence lets an organization achieve. trillion – from their competitors that are still banking on data to make and enforce business decisions.

Business Intelligence 69

Business Intelligence Data mining Data-driven Software 69

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Many reasons. CEOs still don't get it.

Metrics 143

Metrics Reporting Analytics Marketing 143