Remove 2014 Remove Optimization Remove Testing Remove Visualization
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What is DataOps? Principles and Benefits

Octopai

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected? Agile development.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. Does anything look fishy to you…?

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Discover 20 Essential Types Of Graphs And Charts And When To Use Them

datapine

That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. Let’s dive into them.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games.

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Top Challenges and Opportunities for Chief Data Officers

Sisense

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This situation can quickly pose a dilemma for the chief data officer.

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.