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Data Science Competitions You Should Participate In

Pickl AI

The challenges cover an extensive spectrum of topics and require participants to create predictive models and algorithms. It covers a wide range of languages of programming and topics. Topcoder competitions include a wide range of topics, including data structure, algorithms, and optimisation.

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Addressing the importance of data and visualization skills in health and healthcare fields

Tableau

According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Sue Kraemer. Senior Data Skills Curriculum Strategy Manager, Tableau. Bronwen Boyd. January 27, 2022.

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Addressing the importance of data and visualization skills in health and healthcare fields

Tableau

According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Sue Kraemer. Senior Data Skills Curriculum Strategy Manager, Tableau. Bronwen Boyd. January 27, 2022.

Tableau 97
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Text Summarization for NLP: 5 Best APIs, AI Models, and AI Summarizers in 2024

AssemblyAI

49:21: The National Institute of Health, the NIH, should create a similar advanced research Projects agency for Health. Paragraph Josh Seiden and Brian Donohue discuss the topic of outcome versus output on Inside Intercom. Headline Josh Seiden and Brian Donohue discuss the topic of outcomes versus output on Inside Intercom.

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Stanford professor on data-centric AI for healthcare and medicine

Snorkel AI

They were trained at three different locations, including Stanford, Boston, and at the NIH. To illustrate this, here I’m showing you three models that are used to detect pneumothorax from chest X-ray images. We also evaluated them on test datasets from these three different locations. Makes sense.

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Stanford professor on data-centric AI for healthcare and medicine

Snorkel AI

They were trained at three different locations, including Stanford, Boston, and at the NIH. To illustrate this, here I’m showing you three models that are used to detect pneumothorax from chest X-ray images. We also evaluated them on test datasets from these three different locations. Makes sense.

AI 52
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Top 27 Free Healthcare Datasets for Machine Learning

Iguazio

The GHO includes data sets and reports from 194 countries on a wide variety of topics. Health topics include mortality, child nutrition, water and sanitation, HIV/AIDS, health systems, injuries, and more. DHS Program Medical datasets from the DHS (Democratic and Health Services) Program spanning multiple topics.