Rami Krispin :unverified:<p>My weekly newsletter is out!</p><p>This week's agenda:<br>✅ Open Source of the Week - The Juvio project by Oleh Kostromin<br>✅ New learning resources - Python tutorials for beginners, fine-tune LLM with LoRA tutorial, Langchin agents courses, CrewAI course<br>✅ Book of the week - Azure OpenAI Service for Cloud Native Applications by Adrián González Sánchez</p><p><a href="https://ramikrispin.substack.com/p/the-juvio-project-azure-openai-service" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ramikrispin.substack.com/p/the</span><span class="invisible">-juvio-project-azure-openai-service</span></a></p><p><a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenSource</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a></p>
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#datascience
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Leanpub<p>The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: <a href="https://leanpub.com/sh/XsbyaM0T" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/XsbyaM0T</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linguistics</span></a></p>
David Patton<p><a href="https://neurosciencenews.com/ai-llm-learning-abstract-thought-28897/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neurosciencenews.com/ai-llm-le</span><span class="invisible">arning-abstract-thought-28897/</span></a> <a href="https://dmv.community/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://dmv.community/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://dmv.community/tags/genAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genAI</span></a> <a href="https://dmv.community/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a></p>
jbz<p>📦 rv is a new way to manage and install your R packages in a reproducible, fast, and declarative way. </p><p><a href="https://github.com/A2-ai/rv" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/A2-ai/rv</span><span class="invisible"></span></a></p><p><a href="https://indieweb.social/tags/rv" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rv</span></a> <a href="https://indieweb.social/tags/rlang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rlang</span></a> <a href="https://indieweb.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a></p>
Francois Dion<p>Picked up "Python Polars the definitive guide" by Jeroen Janssens and Thijs Nieuwdorp. The polar bear was already used on another O'Reilly book, but the Iberian lynx is cool.</p><p>Never sure how tech books will pan out, but Jeroen's book data science at the command line was a good one, so I am hopeful.</p><p><a href="https://mastodon.online/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.online/tags/polars" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>polars</span></a> <a href="https://mastodon.online/tags/dataframes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataframes</span></a> <a href="https://mastodon.online/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.online/tags/DataEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataEngineering</span></a> <a href="https://mastodon.online/tags/dataops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataops</span></a> <a href="https://mastodon.online/tags/book" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>book</span></a> <a href="https://mastodon.online/tags/books" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>books</span></a> <a href="https://mastodon.online/tags/computerscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computerscience</span></a> <a href="https://mastodon.online/tags/analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>analytics</span></a></p>
WetHat💦<p>AI Fundamentals:</p><p>An organized and detailed introduction to AI, complete with technical diagrams, glossary, and actionable insights. Its treatment of opportunities and challenges resonates with both beginners and experts. </p><p>Some sections could benefit from deeper case studies or illustrations of complex processes, such as the AI development lifecycle or the inner workings of neural networks. </p><p><a href="https://dev.to/furqanahmadrao/ai-fundamentals-what-everyone-should-know-in-the-age-of-artificial-intelligence-3gmm" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dev.to/furqanahmadrao/ai-funda</span><span class="invisible">mentals-what-everyone-should-know-in-the-age-of-artificial-intelligence-3gmm</span></a></p><p><a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://fosstodon.org/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/Tutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Tutorial</span></a></p>
Rami Krispin :unverified:<p>CrewAI Course for Beginners 🚀</p><p>This looks like a great resource for getting started with CrewAI. This course, by Tyler Reed, focuses on developing AI Agents using the CrewAI framework. CrewAI is a lean, lightning-fast Python framework built entirely from scratch.</p><p><a href="https://www.youtube.com/watch?v=ONKOXwucLvE" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=ONKOXwucLv</span><span class="invisible">E</span></a></p><p><a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a></p>
Cascadia R Conf<p>🚀 Want to use LLMs in R?<br>Join Yan Liu at <a href="https://fosstodon.org/tags/CascadiaR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CascadiaR</span></a> to explore {ellmer}—a powerful package for:<br>🖼️ Image-to-text<br>🗂️ Text classification<br>📝 Summarization</p><p>Plus tips on prompt design, ethics, and local vs. cloud models.</p><p>📅 June 21, 2025, Portland, OR!<br>🔗 <a href="https://cascadiarconf.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">cascadiarconf.org</span><span class="invisible"></span></a> </p><p><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Talk Python Podcast<p>We have a brand-new <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://fosstodon.org/tags/polars" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>polars</span></a> course! Please give it a look.</p><p>Polars for Power Users: Transform Your Data Analysis Game</p><p><a href="https://training.talkpython.fm/courses/polars-for-power-users" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">training.talkpython.fm/courses</span><span class="invisible">/polars-for-power-users</span></a></p>
germanio<p>GeoJupyter adding integration with QGIS to reduce analysis friction between tools.</p><p><a href="https://geojupyter.org/blog/20250410-community-insight-gis-bounce/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">geojupyter.org/blog/20250410-c</span><span class="invisible">ommunity-insight-gis-bounce/</span></a></p><p><a href="https://mastodon.social/tags/qgis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>qgis</span></a> <a href="https://mastodon.social/tags/jupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jupyter</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/earth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>earth</span></a> <a href="https://mastodon.social/tags/geojupyter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geojupyter</span></a> <a href="https://mastodon.social/tags/software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>software</span></a></p>
NFDI<p>We invite you to our next <a href="https://nfdi.social/tags/NFDITalk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NFDITalk</span></a> about "Cloud based image data science".</p><p>🗓️ 2 June, 4 PM – Online<br>🎤 Speakers: Josh Moore and Yi Sun (<a href="https://nfdi.social/tags/NFDI4BIOIMAGE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NFDI4BIOIMAGE</span></a>)</p><p>➡ Join the Zoom Meeting:<br>www.nfdi.de/talks<br>➡ Share the YouTube stream: <a href="https://www.youtube.com/live/bzfmE29S270" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/live/bzfmE29S270</span><span class="invisible"></span></a></p><p><a href="https://nfdi.social/tags/NFDI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NFDI</span></a> <a href="https://nfdi.social/tags/fdm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fdm</span></a> <a href="https://nfdi.social/tags/rdm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rdm</span></a> <a href="https://nfdi.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://nfdi.social/tags/forschungsdaten" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forschungsdaten</span></a> <span class="h-card"><a href="https://nfdi.social/@nfdi4bioimage" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nfdi4bioimage</span></a></span></p>
Rami Krispin :unverified:<p>Are you using VScode? Here are five utility extensions that will make your work more productive:<br>1️⃣ Code Spell Checker<br>2️⃣ Better Comments<br>3️⃣ Indent Rainbow<br>4️⃣ Ruff<br>5️⃣ YAML</p><p>More details are available below:<br><a href="https://ramikrispin.substack.com/p/five-vscode-utility-extensions" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ramikrispin.substack.com/p/fiv</span><span class="invisible">e-vscode-utility-extensions</span></a></p><p><a href="https://mstdn.social/tags/VScode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VScode</span></a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mstdn.social/tags/Programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programming</span></a></p>
DSLC Videos<p>From the <span class="h-card" translate="no"><a href="https://fosstodon.org/@DSLC" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>DSLC</span></a></span> :rstats:chives:</p><p>:python: An Introduction to Statistical Learning with Applications in Python: Linear Regression <a href="https://youtu.be/hFfWajZmGio" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/hFfWajZmGio</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://fosstodon.org/tags/PyData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyData</span></a></p><p>:rstats: Tidy Modeling with R: Fitting Models with parsnip <a href="https://youtu.be/ShRtZdQWMJs" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/ShRtZdQWMJs</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a></p><p>:rust: The Rust Programming Language: Using Structs to Structure Related Data <a href="https://youtu.be/Oyaf4FHmZXc" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/Oyaf4FHmZXc</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/rust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rust</span></a> <a href="https://fosstodon.org/tags/rustLang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rustLang</span></a></p><p>Visit <a href="https://dslc.video" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">dslc.video</span><span class="invisible"></span></a> for hours of new <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> videos every week!</p>
Helmholtz Metadata Collab.<p>Working with research data? Make it meaningful.</p><p>Join our free <a href="https://helmholtz.social/tags/HMC_Training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HMC_Training</span></a> online course "Fundamentals of Scientific Metadata" 11-12/06/2025 and learn why context matters & how metadata helps you preserve it.</p><p>Perfect for PhD students & early-career researchers in any field: </p><p>🔗 Register here: <a href="https://events.hifis.net/event/2413" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">events.hifis.net/event/2413</span><span class="invisible"></span></a></p><p><a href="https://helmholtz.social/tags/ResearchData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchData</span></a> <a href="https://helmholtz.social/tags/Metadata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Metadata</span></a> <a href="https://helmholtz.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a> <a href="https://helmholtz.social/tags/FAIRData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FAIRData</span></a> <a href="https://helmholtz.social/tags/HMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HMC</span></a> <a href="https://helmholtz.social/tags/HIDS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HIDS</span></a> <a href="https://helmholtz.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://helmholtz.social/tags/Helmholtz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Helmholtz</span></a><br><span class="h-card" translate="no"><a href="https://helmholtz.social/@helmholtz" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>helmholtz</span></a></span></p>
Harald Klinke<p>Learn how to explore museum collections, image datasets & cultural networks using R—no prior coding needed.<br>Democratizing data in the humanities, one line of code at a time.</p><p><a href="https://det.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a> <a href="https://det.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://det.social/tags/ArtHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtHistory</span></a> <a href="https://det.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://det.social/tags/DigitalArtHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalArtHistory</span></a></p><p>📖Read: <a href="https://link.springer.com/content/pdf/bfm:978-3-031-88130-5/1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/content/pdf/</span><span class="invisible">bfm:978-3-031-88130-5/1</span></a></p>
Harald Klinke<p>Discover Cultural Data Science – An Introduction to R by Harald Klinke<br>A hands-on guide to digital methods in image-based humanities, combining quantitative and qualitative analysis for a global DH audience.<br>Now part of the Quantitative Methods in the Humanities and Social Sciences series.</p><p>Order now: <a href="https://link.springer.com/book/9783031881305" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/book/9783031</span><span class="invisible">881305</span></a><br>Promo code: SPRAUT (20% off)</p><p><a href="https://det.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalHumanities</span></a> <a href="https://det.social/tags/CulturalData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CulturalData</span></a> <a href="https://det.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://det.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://det.social/tags/ArtHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtHistory</span></a> <a href="https://det.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a> <a href="https://det.social/tags/QuantMethods" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QuantMethods</span></a> <a href="https://det.social/tags/SpringerNature" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpringerNature</span></a></p>
chribonn<p>📊 Some of the results from the Audacity OpenVINO Whisper Transcription study:<br>- 🕒 Average duration per model: Base (5.86s), Small (15.45s), Medium (39.03s), Large-v3 (81.33s).<br>- 🏅 Top scorer for accuracy: Small model!</p><p>🔗 See the complete analysis: <a href="https://medium.com/@chribonn/comparing-audacitys-openvino-whisper-transcription-llms-c80c14834c1c" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@chribonn/comparing</span><span class="invisible">-audacitys-openvino-whisper-transcription-llms-c80c14834c1c</span></a><br><a href="https://twit.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://twit.social/tags/OpenVINO" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenVINO</span></a> <a href="https://twit.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Whisper</span></a> <a href="https://twit.social/tags/Audacity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Audacity</span></a> <a href="https://twit.social/tags/TechInsights" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechInsights</span></a> <a href="https://twit.social/tags/TTMO" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TTMO</span></a></p>
Center for Health Data Science<p>💠 R FOR DATA SCIENCE 💠 </p><p>Looking to take your <a href="https://datasci.social/tags/Rskills" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rskills</span></a> to the next level as a <a href="https://datasci.social/tags/UniversityofCopenhagen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UniversityofCopenhagen</span></a> <a href="https://datasci.social/tags/researcher" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researcher</span></a>, employee, or <a href="https://datasci.social/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhD</span></a> student? We've got the <a href="https://datasci.social/tags/course" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>course</span></a> for you!</p><p>💡 R for Data Science<br>🗓 16-18 June 2025<br>📍 Panum, University of Copenhagen</p><p>✏ Register here as an employee: <a href="https://lnkd.in/dyQx6K63" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/dyQx6K63</span><span class="invisible"></span></a><br>🖋️ Register here for ECTS credits as a PhD student: <a href="https://lnkd.in/da47HJ3f" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lnkd.in/da47HJ3f</span><span class="invisible"></span></a><br> <br><a href="https://datasci.social/tags/excel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>excel</span></a> <a href="https://datasci.social/tags/rstudio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstudio</span></a> <a href="https://datasci.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://datasci.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://datasci.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://datasci.social/tags/phd" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>phd</span></a> <a href="https://datasci.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://datasci.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://datasci.social/tags/UCPH" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UCPH</span></a></p>
Winbuzzer<p>The AI Weather Prediction Revolution: Forecasts Sharpen Amid Data Access Crisis</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/WeatherForecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WeatherForecasting</span></a> <a href="https://mastodon.social/tags/Meteorology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Meteorology</span></a> <a href="https://mastodon.social/tags/ClimateTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClimateTech</span></a> <a href="https://mastodon.social/tags/BigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BigData</span></a> <a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</span></a> <a href="https://mastodon.social/tags/ClimateChange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClimateChange</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a></p><p><a href="https://winbuzzer.com/2025/05/19/the-ai-weather-prediction-revolution-forecasts-sharpen-amid-data-access-crisis-xcxwbn/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">winbuzzer.com/2025/05/19/the-a</span><span class="invisible">i-weather-prediction-revolution-forecasts-sharpen-amid-data-access-crisis-xcxwbn/</span></a></p>
Cascadia R Conf<p>Need help getting to <a href="https://fosstodon.org/tags/CascadiaR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CascadiaR</span></a>? 🎓</p><p>We’re offering need-based scholarships for the 2025 conference (June 21 in Portland or remote)! Scholarships cover the ticket cost — open to all, whether you’re attending in person or online. 🧡</p><p>🗓️ Apply by May 31 at 11:59 PM<br>🔗 <a href="https://forms.gle/U4DHy3aU2qrq989M9" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">forms.gle/U4DHy3aU2qrq989M9</span><span class="invisible"></span></a><br>📧 cascadiarcon@gmail.com</p><p>Boosts welcome! 🙏<br><a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/CascadiaR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CascadiaR</span></a> <a href="https://fosstodon.org/tags/Scholarship" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Scholarship</span></a> <a href="https://fosstodon.org/tags/FediTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FediTech</span></a></p>
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