As promised in my article on statisticians leading sustainability, the full video of my Berlin JMP Discovery Summit keynote is now available on the JMP community website.

please share (and watch )

https://community.jmp.com/t5/Abstracts/Innovations-for-a-Sustainable-Planet/ev-p/829500

Pfizer is hiring a Senior Associate, Principal Statistical Data Scientist
Location: Chennai, Tamil Nadu, India

#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs # #Pfizer

https://datasciencejobs.com/jobs/senior-associate-principal-statistical-data-pfizer-india-8/

I got some unfortunate news earlier this month: #UniversityOfArizona has decided to defund the group I work for, @cct-datascience.bsky.social, amidst their continuing budget crisis.

https://datascience.cct.arizona.edu/news/data-science-team-seeking-new-projects-after-losing-funding

It super sucks and means I'll likely have to drop down to 50% in May and I'll be looking for new, better supported, #rseng or #datascience positions, ideally still working with biologists in #rstats in some capacity. Remote or in #Tucson.

Let me know if you know of anything!

I have previously mentioned software standards in passing.

The top-level standard is ISO/IEC Std 12207, Information Technology—Software Life Cycle Processes, which is the international standard that defines a life-cycle framework for developing and managing (ALL) software projects.

This standard was adopted in the United States as IEEE/EIA Std 12207, Information Technology—Software Life Cycle Processes.

Obviously, there are more

Tags: #ai #python #datascience #tech #linux #opensource

Time Series Analysis with StatsModels 

This workshop from the PyData Global 2024 conference by Allen Downey provides an introduction to time series analysis with the StatsModels Python library.

https://www.youtube.com/watch?v=foMbacbuAQk

#timeseries @python #DataScience #forecasting

A Simple Path to Python Success http://leanpub.com/set/leanpub/asimplepathtopythonsuccess is the featured Track of online courses on the Leanpub homepage! https://leanpub.com #ComputerProgramming #Devops #python #data #datascience

Atlassian is hiring a Manager - Data Science
Location: San Francisco, California, United States
Salary: $167100 - $268400

#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #US #Atlassian

https://datasciencejobs.com/jobs/manager-data-science-atlassian-united-states-15/

No robust solution in sight. #LLM progress is stagnant?

“According to #OpenAI’s internal benchmarks, their newer models– o3 and o4 mini– hallucinate more often than older reasoning models like o1, o1-mini, and o3-mini, as well as traditional models such as GPT-4”

#AI #tech #technology #datascience

https://www.theleftshift.com/openai-admits-newer-models-hallucinate-even-more/

It's For The Best

https://youtu.be/dfvsmP9EMSY?si=jiS8J70EtyddGSIY

"They'll love it."—old friend of mine whose name starts with a J in which I am not sure he wants to be mentioned.

#DataScience A plot of all known objects in the universe.

#DataScience laugh.

"This paper advances the critical analysis of machine learning by placing it in direct relation with actuarial science as a way to further draw out their shared epistemic politics. The social studies of machine learning—along with work focused on other broad forms of algorithmic assessment, prediction, and scoring—tends to emphasize features of these systems that are decidedly actuarial in nature, and even deeply actuarial in origin. Yet, those technologies are almost never framed as actuarial and then fleshed out in that context or with that connection. Through discussions of the production of ground truth and politics of risk governance, I zero in on the bedrock relations of power-value-knowledge that are fundamental to, and constructed by, these technosciences and their regimes of authority and veracity in society. Analyzing both machine learning and actuarial science in the same frame gives us a unique vantage for understanding and grounding these technologies of governance. I conclude this theoretical analysis by arguing that contrary to their careful public performances of mechanical objectivity these technosciences are postmodern in their practices and politics."

https://journals.sagepub.com/doi/10.1177/01622439251331138

(Un)Perplexed Spready: the AI spreadsheet tool you’ll wish came sooner . From coffee to clarity—(Un)Perplexed Spready’s AI does it all. A spreadsheet software that thinks with AI, embedding powerful LLM models right into your spreadsheet formulas!
https://matasoft.hr/qtrendcontrol/index.php/un-perplexed-spready

(Un)Perplexed Spready: the AI spreadsheet tool you’ll wish came sooner . From coffee to clarity—(Un)Perplexed Spready’s AI does it all. A spreadsheet software that thinks with AI, embedding powerful LLM models right into your spreadsheet formulas!
https://matasoft.hr/qtrendcontrol/index.php/un-perplexed-spready

Can AI Be Trained on Data Generated by Other AI? Exploring the Potential and Pitfalls of Synthetic Training Data
AI-generated training data is revolutionizing AI model training! Synthetic data simulates real-world scenarios, offering a more efficient approach. Companies like Anthropic are already using it. Learn more about this exciting new frontier! #SyntheticData #AIGeneration #AItraining #DataScience #MachineLearning #FutureofAI
https://tech-champion.com/data-science/can-ai-be-trained-...

Commonwealth Bank is hiring a Senior Associate Data Scientist
Location: Bangalore, India

#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #

https://datasciencejobs.com/jobs/senior-associate-data-scientist-commonwealth-bank-india-13/

Longitudinal Data Analysis Using R by Alexandru Cernat is on sale on Leanpub! Its suggested price is $65.00; get it for $45.50 with this coupon: https://leanpub.com/sh/lLKThwnA #R #Textbooks #DataScience #Software

Understand RAG at Easter? Why not use the time to learn something new — and build your own local PDF chatbot?

Learn how chunking, embeddings and vector search work in practice - with LangChain, FAISS, Ollama and Mistral running entirely on your machine (no API key required).

Perfect for beginners - here's the full guide & GitHub repo

step-by-step guide: https://bit.ly/3EfOHB9
GitHub Repo: https://bit.ly/3EtqYgK

Any #DataScience people here?

I have a huge #BeaconDB dataset here, recorded with #NeoStumbler.

I would like to play around with it a bit, display densities of radio devices on a map.

I know #QGis, is it reasonably easy to import a CSV file there, assign the coordinates to some columns etc?

Alternatively I know a bit of #R, but #RStudio is #Electron now, so that could get a hassle XD

Btw, there is a #Fedora #COPR for R-Cran packages, how is the situation on #NixOS?

#data_question

Given:
```
import numpy as np

arr3d = np.array([[[1,2,3], [4,5,6]],[[7,8,9], [10,11,12]]])
```

What is the result:
```
old = arr3d[0].copy()
arr3d[0] = 42
print(arr3d,'\n')
arr3d[0] = old

foo = arr3d[1, 0]
bar = arr3d[1]
foo == bar[0]
```

Tags: #python #datascience #ai #tech #linux #opensource