Remove topic subject health-and-behavioral-science
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The road to Software 2.0

O'Reilly Media - Data

We can collect many examples of what we want the program to do and what not to do (examples of correct and incorrect behavior), label them appropriately, and train a model to perform correctly on new inputs. That doesn’t mean we aren’t seeing tools to automate various aspects of software engineering and data science. and Matroid.

Software 261
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Ethical Social Media: Oxymoron or Attainable Goal?

O'Reilly Media - Ideas

Social media has been linked to health risks in individuals and political violence in societies. Despite growing awareness of its potential for causing harm, social media has received what amounts to a free pass on unethical behavior. Each generation spawns a fresh batch of ethical dilemmas and then wonders how to deal with them.

Media 139
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Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

Altexsoft

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. Personalization spans across various types of insurance services, from health to property insurance.

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Trusted AI Cornerstones: Ethics Overview

DataRobot

For example, consumer purchasing behavior can be mined for sensitive information about the health, housing, employment, and even the marital status of customers. Similarly, AI systems can be subject to attacks designed to find information about your enterprise or customers. It is a tough topic to navigate.

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Data Mining: use cases & benefits

Apiumhub

Retailers, banks, manufacturers, health industry players, etc. Retailers, banks, manufacturers, health industry players, etc. Nowadays, data scientists have become vital to organizations all over the world as companies seek to achieve bigger goals with data science than ever before. how they want to organize it 5.

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The Untapped Power of Vulnerability & Transparency in Content Strategy

A List Apart

In marketing, transparency and vulnerability are unjustly stigmatized. The words conjure illusions of being frightened, imperfect, and powerless. And for companies that shove carefully curated personas in front of users, little is more terrifying than losing control of how people perceive the brand. Let’s shatter this illusioned stigma.

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Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

This time we talked with experts from AleaSoft, ENFOR, REALas, and our own data science specialist to answer the question: How to implement price forecasts on markets with high volatility? The article describes the steps to build a price prediction solution and implementation examples in four industries. Predictive analytics.