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#datascience

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Recent @DSLC club meetings:

:rstats: Analyzing Baseball Data with R (3e): Graphics youtu.be/Fym0nHelDuw #RStats #SportsAnalytics

From the @DSLC :rstats:​chives:

:rstats: "ISLR: Statistical Learning part 2" youtu.be/MfBUPmK-aNg #RStats

:python: "An Introduction to Statistical Learning with Applications in Python: Linear Regression" youtu.be/PbTw-SN7-xU #PyData #MachineLearning

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Michigan Python: Build a Virtual Guitar Tuner and Effects Suite with Python. Anthony Russel is giving an overview of digital audio and how to manipulate audio data using Python. We will cover how to use PyAudio to read and write audio data, as well as how to utilize SciPy, NumPy, and Aubio for analyzing and manipulating the data.

📅 Thursday, May 1, 7:00pm ET
📍 Washtenaw Community College or attend virtually

meetup.com/michigan-python/eve

MeetupHybrid MI Python: Build a Virtual Guitar Tuner and Effects Suite with Python, Thu, May 1, 2025, 7:00 PM | MeetupThis talk will provide an overview of digital audio and how to manipulate audio data using Python. We will cover how to use PyAudio to read and write audio data, as well as

Interesting paper.

“Some machine learning models trained exclusively on existing patient data didn't recognize about 66% of injuries that could lead to patient death in the hospital, according to the research published in Nature's Communications Medicine journal.

#AI #Research #Science #Tech #Technology #MachineLearning #Medicine #Hospitals #Patients #Software #DataScience #Data

axios.com/2025/03/12/ai-fails-

Illustration of a band-aid with binary code
Axios · AI failed to detect critical health conditions: studyBy Maya Goldman

From the @DSLC :rstats:​chives:

:rstats: "R para Ciencia de Datos Club de Lectura: Capítulo 11 (Parte 1)" youtu.be/d814H-wcoEc #RStats

:rstats: "Geospatial health: Geostatistical data" youtu.be/2UNlzmC9Dnw #RStats

:rstats: "usethis docs: Package setup" youtu.be/edjAvUWg6qw #RStats

:rstats: "ShinyUI: Adding more interactivity" youtu.be/d5jBMRQ7Gv4 #rshiny #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

I desire to begin contributing to open source projects. I am mainly proficient in Python with familiarity in Java and C. I have sufficient experience with version control from personal tasks.

I would really be interested in data science contributions—although I don’t know how that translates in terms of open source development.

Nonetheless, I think it will be a worthwhile investment over the summer as I can give back and gain practical experience! Comment any organization suggestions or if assistance is with your own open source project!

🚀 PyData London is back next June!

Join us for a weekend of insightful talks, hands-on workshops, and top-tier networking with data science experts. Whether you're a pro or just starting out, there's something for everyone at #PyDataLondon!

Website: pydata.org/london2025

📅 Dates: 🔹 Tutorials: Fri, 6th June 🔹 Talks: Sat, 7th – Sun, 8th June

Mark your calendars and stay tuned for updates! 🎉 #DataScience #MachineLearning

Our latest Blog post, written by former @uniinnsbruck student Lennart Wieser and winner of the 2024 DiSC Award, is about the feasibility of biomarker research with hair strands for #depression. To this end, he analyzed metabolites from 32 hair samples with uni- and multivariate methods regarding differences between depressed and non-depressed individuals. Read more here: uibk.ac.at/en/disc/blog/diagno

www.uibk.ac.atExploring Biomarkers for Depression in HairTo explore the feasibility of biomarker research with hair strands for depression, metabolites from 32 hair samples were analyzed with uni- and multivariate methods regarding differences between depressed and non-depressed individuals.