ramikrispin, DevOps for Data Science - New Book 🚀
Always happy to see new MLOps books! The DevOps for Data Science is a new book by Alex K Gold. As the name implies, the book focuses on topics related to DevOps for data scientists. This includes the following:
✅ Command line
✅ Working with Linux systems
✅ Docker
✅ Scaling resources
✅ Network, domains, DNS, SSL, etc.
✅ Authentication
sebkrantz, In the development version of {collapse} [v2.0.15, available via install.packages("collapse", repos = "https://fastverse.r-universe.dev")], the pivot() function has received a FUN argument to support aggregation, including a number or hard-coded internal functions that do this "on the fly". Initial benchmarks show that this significantly outperforms other pivot table options in R. More at https://sebkrantz.github.io/collapse/reference/pivot.html (feel free to test and give feedback). #rcollapse #rstats #DataScience
ramikrispin, DuckDB can now read data from Hugging Face via the hf:// prefix 👇🏼
https://duckdb.org/2024/05/29/access-150k-plus-datasets-from-hugging-face-with-duckdb
unicornCoder, some #rstats #DataScience plotting of Canadian #cannabis sales by cannabis type
seems like Canadian 🍁 love the dried flower
CSVCONF, 📣 Our second keynote speaker of the day is @tracykteal who's reflecting on #DataScience leadership #CSVCONF #CommaLlama
ramikrispin, Gradient Descent Visualization 👇🏼
I was looking for examples of interactive data visualization for a gradient descent algorithm, and I found this app by Lili Jiang. This desktop app is based on C++ and enables simulation and visualization of different gradient descent algorithms, such as momentum, AdaGrad, RMSProp, and Adam. The app enables to compare different methods simultaneously.
https://github.com/lilipads/gradient_descent_viz
Image credit: App repository
mia, James Baker on Bluesky: 'From 2025/26 University of Southampton DH will be running a new MSc in Digital Humanities (Data Science). Huge thanks to all my colleagues who've helped turn our little idea into a reality, especially the amazing
Lexi Webster https://www.southampton.ac.uk/courses/digital-humanities-data-science-masters-mscAnd look out for a Humanities Data Science Lectureship we'll be advertising in the Autumn to lead this programme (ask me if you are interested in knowing more before the ad comes out).'
rhazn, Interesting use of #DataScience for long term #gaming trends and great use of web tech to communicate that, recommended reading: Gamers Have Become Less Interested in Strategic Thinking and Planning https://quanticfoundry.com/2024/05/21/strategy-decline/
ramikrispin, (1/2) Shiny Apps for demystifying statistical models and methods 🚀
This is a cool website that explains different statistical concepts with the use of interactive Shiny Apps. Ben Prytherch made this website from the Department of Statistics at Colorado State University.
kristinHenry, Some of the folks who signed up for my #StickersAndStamps project finally got an email from me, thanking them for letting me know when their letters arrived.
Most of them arrived on, or near, the the day I had my surgery.
My recovery is still going well, and I finally had the mental and physical energy for the correspondence.
I'll be returning to working on the data visualization and art of the project soon!
kristinHenry, I'm also now thanking folks who signed up months ago, but I was so low on energy before the tumor was removed.
Slow, but steady.
rladiesrome, 🎥 Recording Available! 🎥
Missed our recent "R in Production" event with Hadley Wickham? Don't worry! Watch now for practical tips & insights. 🚀 #RProgramming #DataScience #TechCommunity
🔗https://rladiesrome.org/talks/2024/meetup/05242024/
@hadleywickham @rladiesnyc @posit_pbc
datasciencejobs, 🏢 Caterpillar Inc. is hiring a Data Scientist
Location: 🇬🇧 Peterborough, United Kingdom
💰 Salary: £46 000 - £56 000#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #UK
https://datasciencejobs.com/jobs/data-scientist-caterpillar-inc-united-kingdom-9/
datasciencejobs, 🏢 Nestlé is hiring a Senior Data Scientist
Location: 🇵🇱 Warszawa, Poland#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #Poland #Nestlé
https://datasciencejobs.com/jobs/senior-data-scientist-nestle-poland-4/
LabPlot, Below is just a small sample of plots that were created with #lLabPlot.
#LabPlot is a FREE, open source and cross-platform Data Visualization and Data Analysis software.
Would you like to share with us your plots made in LabPlot?
#DataAnalysis #DataScience #Data #DataViz #DataVisualization #Science #Statistics #Mathematics #Math #STEM #FOSS #FLOSS #OpenSource #KDE
datasciencejobs, 💼 Veson Nautical is hiring a Data Scientist
Location: 🇬🇧 Stoke-on-Trent, United Kingdom#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #UK
https://datasciencejobs.com/jobs/data-scientist-veson-nautical-united-kingdom-1/
quintessence, What are people's favorite sources for learning about data topics? Question intentionally broad so it's not only one topic.
Can be 📚 books, 🎧 podcasts, 🎥 video, etc.
I'll start:
- I enjoy 3Blue1Brown for 🧮 math in general: https://www.3blue1brown.com/
- I love the visual essays made by 📜 The Pudding: https://pudding.cool/
(If there are enough responses to this I'll make a resource list somewhere for reference :blobfox: )
ramikrispin, (1/2) End To End Data Science With R 🚀
The End To End Data Science With R is a new book by Rene Essomba. The book, as the name implies, focuses on the core data science applications using R ❤️. This book covers the following topics:
✅ Exploratory data analysis
✅ Data visualization
✅ Supervised learning
✅ Unsupervised learning
✅ Time series
✅ Natural language processing
✅ Image classification
ramikrispin, (2/2) The book is open and available online for free:
https://e2e-ds-r.franckess.com/Image credit: Book
Thanks to the author for making this book open and free! 🙏🏼
sageanastasi, Hi everyone!
I'm looking for consulting work in data science/data analysis. I'm based in Christchurch, New Zealand, but I'm happy to work remote.
I have a background in media & communication, so I'm happy working with clients of any technical ability ^_^ I've worked on projects ranging from surveys of social workers to network analysis, so I'm happy to try anything!
#getFediHired #fediHire #jobsearch #datascience #datasciencejobs
datasciencejobs, 🏢 Snowflake is hiring a Senior Data Scientist
Location: 🇩🇪 Berlin, Germany#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #Germany #Snowflake
https://datasciencejobs.com/jobs/senior-data-scientist-snowflake-germany-5/
ramikrispin, (1/3) Introduction to Data Wrangler 🚀
Data Wrangler is a new Microsoft VScode extension for data exploratory analysis. It supports Python 🐍 and Pandas 🐼 DataFrame objects and is integrated into VScode Jupyter Notebooks. Here are some of the functionalities of Data Wrangler:
✅ Data review
✅ Column filtering
✅ Summary statistics
✅ Data cleaning and transformation
✅ Hadeling missing values
✅ Creating new fields
ramikrispin, (2/3) Once finished processing the data, it creates a reproducible Python code ❤️
More details 👇🏼
https://marketplace.visualstudio.com/items?itemName=ms-toolsai.datawranglerImage credit: Extension documentation
ramikrispin, (3/3) Here is a short video about the extension functionality 👇🏼
nihilistdatascientist, Once I learned that SQL is usually case-insensitive I decided to write all my SQL in SpongeMock, because nothing fucking matters:
seLeCt
cOl2
,CoL1
fROm mY_tAblE
wHeRe cOl1 iS nOt nUlL
aNd CoL2 = 23
datasciencejobs, 💼 AnyVan is hiring a Data Scientist
Location: 🇿🇦 Cape Town, South Africa#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #SA #AnyVan
https://datasciencejobs.com/jobs/data-scientist-anyvan-south-africa-2/
spocko, Data is beautiful.
#datascience
datasciencejobs, 🏢 Kraft Heinz is hiring a Senior Data Scientist
Location: 🇬🇧 London, United Kingdom#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #UK
https://datasciencejobs.com/jobs/senior-data-scientist-kraft-heinz-united-kingdom-1/
ramikrispin, (1/2) Google released a new foundation model for time series forecasting 🚀
The TimeFM (Time Series Foundation Model) is a foundation model for time series forecasting applications. This pre-trained model was developed by the Google Research team. It joins the recent trend of leveraging foundation models for time series forecasting, which includes Salesforce's Moirai and Amazon's Chronos.
#DataScience #forecasting #llm #deeplearning #MachineLearning #python #timeseries
ramikrispin, (2/2) License: Apache-2.0 license 🦄
Release notes 📖: https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
Code 🔗: https://github.com/google-research/timesfm
Hugging Face 🤗: https://huggingface.co/google/timesfm-1.0-200mImage credit: Model's paper