Smart Data Collective

SEPTEMBER 17, 2020

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. The Underlying Concept.

Big Data 141

Big Data Finance Risk Management Risk 141

O'Reilly on Data

DECEMBER 12, 2019

If a model is going to be used on all kinds of people, it’s best to ensure the training data has a representative distribution of all kinds of people as well. Interpretable ML models and explainable ML. The debugging techniques we propose should work on almost any kind of ML-based predictive model.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

DMBS2

MAY 20, 2018

My two central examples have long been inaccurate metrics and false-positive alerts. In predictive analytics, it’s straightforward to quantify how much additional value you’re leaving on the table with your imperfect accuracy. (An amazing number of vendors each seem to think they invented the idea.).

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. from sklearn import metrics. from sklearn import metrics. The only intact features are Time and Amount. 0.01, 0.001] }.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

AUGUST 22, 2019

When running word2vec, you can choose between two underlying model architectures— skip-gram (SG) or continuous bag of words (CBOW; pronounced see-bo)— either of which will typically produce roughly comparable results despite maximizing probabilities from “opposite” perspectives. Note: Mikolov, T., arXiv:1301.3781]. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52