The spatial join?: The end of the spatial join? Vikram Gundeti, CTO of #Foursquare, is reimagining #geospatial for #datascientists by eliminating traditional GIS hurdles and embracing #ML-friendly, agent-ready solutions. Will geodata be seamlessly accessible and...
https://spatialists.ch/posts/2025/08/06-the-spatial-join/ #GIS #GISchat #geospatial #SwissGIS
#datascientists
“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 <https://archive.md/xysyM> / <https://ft.com/content/071dc338-b267-466c-836a-f559609fffd5> (paywall)
How well do you think you know your data, #dataengineers and #datascientists ? You might want to profile your data more.
I've worked with the #Python package #ydata-profiling . It has some issues. But when I got it working, I found some surprising details about a dataset that I thought I already knew quite well. #pyspark
https://marcel-jan.eu/datablog/2025/04/24/profiling-data-with-ydata-in-pyspark/
Today at #WorkshopsForUkraine: #Devops for #DataScientists (#R #Rstats & #Python), by Rika Gorn (Posit), Thursday April 3rd, 6 pm CET. Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.nk355htoamjv
Visualizing gene structures in R? gggenes, an extension of ggplot2, simplifies the process of creating clear and informative gene diagrams, making genomic data easier to interpret and share.
Visualization: https://cran.r-project.org/web/packages/gggenes/vignettes/introduction-to-gggenes.html
Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datastructure #datavisualization #dataanalytics #data #tidyverse #datascientists #ggplot2
Evaluating the normality of your data is crucial in statistical analysis, as many techniques assume that the data and/or residuals follow a normal distribution.
The visualization in the post contrasts two QQ plots: the left plot shows a data set following a normal distribution, where the points align closely with the reference line.
Check out this tutorial: https://statisticsglobe.com/r-qqplot-qqnorm-qqline-function
Click this link for detailed information: https://statisticsglobe.com/online-course-statistical-methods-r
The employees also warned that many of those enlisted by #ElonMusk to help him slash the size of the federal government under #Trump’s admin were political ideologues who did not have the necessary skills or experience for the task ahead of them.
The mass #resignation of #engineers, #DataScientists & #ProductManagers is a temporary setback for #Musk & the Republican president’s tech-driven #purge of the federal workforce.
Discover how to implement hierarchical clustering in Python with our detailed tutorial. Perfect for #DataScientists and #ML engineers looking to master clustering algorithms. Includes code examples, visualizations, and practical applications. #Programming
https://teguhteja.id/hierarchical-clustering-python-step-by-step-implementation-guide/
Principal Component Analysis (PCA) before Linear Regression can greatly enhance your data analysis process.
By incorporating PCA before performing linear regression, you can streamline your analysis pipeline and build more robust models that capture the essential relationships within your data.
I've developed an in-depth course on PCA theory and its application in R programming.
Further details: https://statisticsglobe.com/online-course-pca-theory-application-r
#pythontraining #datascientists #data #bigdata #advancedanalytics
The latest blog post in my productive data series for #DataScientists has landed, cleaning your data: https://jb.gg/legjhx
If you’re late to the party, we started with where to get data from: https://jb.gg/omw1ki
Then we explored that data: https://jb.gg/0i6mdr
And if you want to get stuck in straight away, check out 7 ways to use Jupyter Notebooks inside #Pycharm: https://jb.gg/9a1kui
Both R and Python are powerful tools widely used for data analysis and research, making them worth a detailed comparison.
Data credit: https://www.kaggle.com/
Learn more: https://statisticsglobe.com/online-course-r-introduction
#bigdata #rstudio #datascientists #datasciencecourse #package
I met the founder of the company and thought it was interesting to publish something about it.
A New Approach To Training With Perforated Ai https://medium.com/@luismarcelobp/a-new-approach-to-training-with-perforated-ai-339e29cabd54 #data #DataScience #datascientists #learning
«If we asked you to imagine a decillion dollars, can you actually picture it in your head? The odds are, you can't. A study in 2013 showed that people find it more difficult to comprehend larger numbers. But why?»
People are also bad in assessing very small and very last probabilities. #DataScientists should take this psychological #Biases into account when presenting results to human audiences.
https://www.bbc.com/reel/video/p0k962x2/why-our-brains-are-bad-at-understanding-big-numbers via #BBC
Get ready for our first Metadata Sprint! On 8-9 April 2025 in Madrid, we're bringing together #librarians, #developers, #datascientists, and open infrastructure enthusiasts to co-create and innovate with Crossref #metadata and APIs. Whether you're pitching a project or joining a team, this is your chance to connect, collaborate, and create something impactful. Limited spaces—submit your abstract today. https://www.crossref.org/events/api-sprint/
Final Remainder it's happening Today:
September 30, 2024 at 7:00PM CEST
Data Wrangling Practice with R
RSVP: https://www.meetup.com/rladies-rome/events/303481357
@silacos @Rafagrlucas @fgazzelloni @RLadiesGlobal
Happening Today:
September 30, 2024 at 7:00PM CEST
Data Wrangling Practice with R
RSVP: https://meetup.com/rladies-rome/events/303481357
@silacos @Rafagrlucas @fgazzelloni @RLadiesGlobal
There is still time to register for an hands-on session on:
Data Wrangling Practice with R
When: Tomorrow, Monday September 30, 2024 at 7:00PM CEST
RSVP: https://www.meetup.com/rladies-rome/events/303481357
@silacos @Rafagrlucas @fgazzelloni @RLadiesGlobal #rstats #DataScientists
Diving into Principal Component Analysis (PCA) unveils two heroes of data simplification: Eigenvalues and Eigenvectors. These mathematical concepts might sound intimidating, but they're crucial for understanding how PCA transforms complex data into something much more manageable. Let's demystify them:
Looking to get hands-on with eigenvalues, eigenvectors, and PCA using the R programming language? Unlock the power of your data: https://statisticsglobe.com/online-course-pca-theory-application-r
Free AI Courses
Our Free series promotes free AI courses everyday across various levels and disciplines.
From beginner upwards, there's something for you!
Day 8: AI Fundamentals for Non-Data Scientists
https://www.coursera.org/learn/wharton-ai-fundamentals-non-data-scientists #FreeAI #AITraining #DataScientists #AIFundamentals
#Anaconda puts squeeze on #datascientists deemed to be #ToS violators
Academic, non-profit organizations now being told to pay up – or else
"Research and non-profits are also the entities providing a lot of the repositories in the anacondaecosystem. I believe Anaconda are currently testing to see what happens if they play hardball with them."
Source said interaction with company echoed Oracle’s tactics – it became clear licensing fees dating back years could be sought.
https://www.theregister.com/2024/08/08/anaconda_puts_the_squeeze_on/
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