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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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Defining data science in 2018

Data Science and Beyond

This article is a short summary of my understanding of the definition of data science in 2018. Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. But what does it mean?

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

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 predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines. Since it has been evaluated at USD 6.18

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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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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

As a matter of fact, Python was declared as the most popular language in 2018 , and it will surely grow in the future as well. Computational mathematics is in the heart of this language, typically used in algorithm development, modeling and simulation, scientific and engineering graphics, data analysis, and exploration.

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How Big Data Has Become Integral to Commercial Fleet Success

Smart Data Collective

billion in 2018. Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions. A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions. Organizations have already realized this.

Big Data 132
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AI is key player in Texas Rangers’ winning formula

CIO Business Intelligence

Streamlining teamwork As a result of the Statcast revolution, the Rangers’ analytics team started to transform, and Booth was the fifth person on it when he joined the Rangers in 2018. We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.”