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Designing Visual Appendices for Your Next Report—In Under an Hour

Depict Data Studio

tables and tables of closed-ended and open-ended survey data) Data collection instruments (e.g., our report’s main body could focus on this year’s data , but we might include tables that compare this year’s data to last year’s data in the appendix). Introducing… Visual Appendices! Third, add visuals!

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options. Neptune.ai. Neptune.AI

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. billion in 2017 to $190.61 Artificial Intelligence (AI).

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How to Optimize Your Oracle EBS Reporting in 2021

Jet Global

Companies running Oracle E-Business Suite (EBS) have many powerful tools available to them for data collection, storage, and retrieval. Effective reporting tools enable users to create dynamic designs, incorporating visualizations and allowing report recipients to easily spot trends and anomalies.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second. THE ROLE OF TEXT IN HEALTHCARE: Text is a unique resource because medical reports carefully describe the diagnosis associated with multimodal and multimedia data and also the relevant image content.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. Indeed, in the original paper Chawla et al.