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Decision-Making in a Time of Crisis

O'Reilly on Data

The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Consider risk not only in terms of likelihood but also in terms of the impact of your decisions. We saw this after the 2016 U.S.

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12 famous ERP disasters, dustups and disappointments

CIO Business Intelligence

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.”

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What Are State-Sponsored Cyber Attacks and Do They Use AI?

Smart Data Collective

You can find numerous examples of this, such as the hacking attempts that it conducted against the United States during the 2016 Presidential Election. The consequent cybercrime caused (like the fraudsters mentioned above) is straining almost every imaginable industry and testing the limits of cybersecurity at every front.

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Cyber Fraud Statistics & Preventions to Prevent Data Breaches in 2021

Smart Data Collective

The risk of data breaches will not decrease in 2021. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

2016) for an example of this technique (LIME). This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. After forming the X and y variables, we split the data into training and test sets. See Ribeiro et al. random_state=seed) y_train.value_counts(). See Wei et al.

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