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LK-99: What if we have room temperature superconductors

Dataconomy

In the quest for technological advancements that can revolutionize our world, the scientific community has always been captivated by the elusive phenomenon of superconductivity. Until then, the scientific community remains cautious and eagerly awaits the results of the ongoing replication efforts. C or -459.67°F),

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Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

Data science takes on a comprehensive approach to the concept of scientific inquiry, albeit adhering to certain fundamental regulations and tenets. SciPy is a library for scientific computing. This piece will concentrate on the elemental constituents constituting data science. Pandas is a library for data analysis.

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A Beginner’s Guide to Data Science

Applied Data Science

Learning how to tell stories with data ❤️ Getting the pulse of the community The demand for data scientists has been steadily rising in the past decade, with industries like retail, medicine and finance claiming the lion’s share. However, it can be fun and helpful to ask your community: How did you go about this?

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Explore the Worlds of Startups and Science with AI Experience Worldwide Speakers Alexis Ohanian and Bill Nye

DataRobot

In 2020 he resigned from the Reddit board in protest and left his role at Initialized Capital to start Seven Seven Six, a new venture firm focused on people, culture, and community. Alexis has also spoken at TED and volunteered in Armenia for a micro capital initiative managed by Kiva. Closing Keynote: Our Human Legacy.

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Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.

ML @ CMU

Finally, we describe the two aforementioned insights from these efforts; we hope these takeaways will motivate the community to rethink how HCML methods are developed and evaluated. Our proposed three-step workflow is based on the general scientific method: Step 1: Define a concrete use case.

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Reimagining Time-Aware Modeling with Eureqa

DataRobot

The idea of computers helping to make scientific discoveries is incredibly fascinating to me. They work really well in small datasets so are very popular with scientific researchers who gather data from physical experiments that don’t produce massive amounts of data. (In You can also find a walkthrough guide on our community page.

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The innovators behind intelligent machines: A look at ML engineers

Dataconomy

Its broad range of useful libraries enables efficient data processing and scientific computing. MATLAB MATLAB is a programming language and development environment commonly used in scientific computing and engineering. Julia Julia is a relatively new programming language that is designed for numerical and scientific computing.

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