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#datascience

18 posts15 participants2 posts today
Jumping Rivers

At Jumping Rivers, we've developed a scoring framework to help users assess R package quality.

Our latest blog post, "R Package Quality: Validation and Beyond!", walks through this new framework and shares guiding principles that ensure the scores are fair, flexible, and context-aware.

🔗 Read more: jumpingrivers.com/blog/litmus-

#rstats #opensourcesoftware #datascience #R #packagequality

jumpingrivers.com/blog/litmus-

Jumping Rivers - Data Science Training and Consultancy · R Package Quality: Validation and beyond!Not all R packages are clearly “good” or “risky”, most fall somewhere in between. This post introduces a scoring framework to help users assess package quality, based on documentation, code, maintenance, and popularity. We also share key principles to ensure the scores are useful, fair, and adaptable to different contexts.
Talk Python Podcast

Latest episode with Christopher Trudeau and host @mkennedy on #polars #python #datascience

#510: 10 Polars Tools and Techniques To Level Up Your Data Science

talkpython.fm/episodes/show/51

talkpython.fm10 Polars Tools and Techniques To Level Up Your Data ScienceAre you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course.
Posit

Calling all data science junkies, anomaly hunters, and those who play outside the confidence interval! 🎧 The trailer for The Test Set—a new video podcast from @Posit—is officially here!

Tune in July 1st and every Tuesday after for new episodes with hosts Michael Chow, @hadleywickham, and Wes McKinney as they welcome thought leaders from the world of data science.

July 1st launch. Subscribe: pos.it/thetestset

#TheTestSet#DataScience#Podcast
☮ ♥ ♬ 🧑‍💻

“Students are introduced to advanced AI techniques such as #ChainOfThought and #SelfConsistencyPrompting, which simulate humanlike reasoning. #GenerativeAI is presented not just as a tool for queries but as a partner in reasoning.

“We teach reinforcement learning from human feedback, where every correction becomes training data,” Madmoun adds.

Students are encouraged to view AI not as a static engine, but as a responsive tool for making critical decisions in high-stakes financial environments.

Recognising that students enter with varying levels of technical knowledge, the Master in International Finance (MiF) at HEC Paris provides asynchronous #Python #programming courses, optional #BootCamps, and tailored elective tracks. “We’ve integrated workshops taught by Hi! PARIS into the curriculum,” says academic director Evren Örs, referring to the #AI and #DataScience centre co-founded by HEC Paris and Institut Polytechnique de Paris.

Students from both institutions collaborate on real-data projects, strengthening both technical and teamwork skills.

A tiered elective system requires all MiF students to complete at least one course focused on #data and #finance. The most advanced track is the #DoubleDegree in data and finance, where students dive deep into #MachineLlearning applications. Graduates, Örs says, are frequently hired as #QuantitativeAnalysts, #DataScientists, and private equity analysts in London and Paris.”

#BusinessSchools / #education <archive.md/xysyM> / <ft.com/content/071dc338-b267-4> (paywall)

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Anand Philip

discourse.datamethods.org/t/st Statistical process control and experimental design, a student asks, does the industry really care? very interesting answers. #stats #DataScience

Datamethods Discussion Forum · Statistical Process Control and Experimental DesignHello, I’m currently finishing up an undergrad in Statistics, starting a Masters in Statistics in the Fall. I’ve learned a bit about the subjects, Statistical Process Control and Experimental Design on my own through bo I’m about to complete my undergraduate degree in Statistics and will begin a Master’s in Statistics this Fall. Outside of my formal coursework, I’ve explored topics like Statistical Process Control (SPC) and Experimental Design through self-study, using books such as Statistics ...
Krzysztof Sakrejda

First you write a simple program to retrieve files, then you realize you might need to generate dependencies from files and retrieve further files, then you add some file processing, you make the whole thing async b/c that's lots of slow i/o, pretty soon you realize you're just writing a data pipeline system and... idk should I stop?

I just want something that does specific tasks for me based on a kdl input.

🤦‍♂️ 😭 🧐

#rustlang#DataScience
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