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Proposals for model vulnerability and security

O'Reilly on Data

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 278
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

2019 was a particularly major year for the business intelligence industry. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The rise of self-service analytics democratized the data product chain.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

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Why you should care about debugging machine learning models

O'Reilly on Data

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.

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2019 US Open Predictions: Doubling Down on the Data

DataRobot Blog

The next day, in the men’s final, we watched the match between our model’s top two favorites, Novak Djokovic (39%) and Roger Federer (32%) compete in an epic final that saw Novak Djokovic win his fifth Wimbledon title. With the 2019 US Open starting, we wanted to see if we could use DataRobot to predict how this tournament will play out.

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Feature Selection: Beyond feature importance?

KDnuggets

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

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Tableau adds data storytelling to its revamped cloud platform

CIO Business Intelligence

Having been acquired by Salesforce in 2019 , Tableau is also deepening ties with its parent company’s AI capabilities, which are branded as Einstein. Built in to Tableau Cloud, Einstein Discovery provides predictions and recommendations for users, without having to employ data scientists to write bespoke predictive models. “By

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