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#datascientist — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #datascientist, aggregated by home.social.

  1. Have been trying out an #oura4 ring and was alarmed when it told me my #cardiovascularheath looked like someone 9 years older than I am. Was sobering. I reflected on life today, forced the dogs to take an extra long walk with me and was planning to fit in a bike ride up one the larger hills in #SanFrancisco tomorrow, and then I thought hang on... checked the app settings and it had picked up a completely random birth date - probably the product of a lifetime of lying to anyone who tries to collect my true date of birth.. Still going on the bike ride tomorrow. I'm no #datascientist but betting my heart will look better relative to my age tomorrow...

  2. Have been trying out an #oura4 ring and was alarmed when it told me my #cardiovascularheath looked like someone 9 years older than I am. Was sobering. I reflected on life today, forced the dogs to take an extra long walk with me and was planning to fit in a bike ride up one the larger hills in #SanFrancisco tomorrow, and then I thought hang on... checked the app settings and it had picked up a completely random birth date - probably the product of a lifetime of lying to anyone who tries to collect my true date of birth.. Still going on the bike ride tomorrow. I'm no #datascientist but betting my heart will look better relative to my age tomorrow...

  3. Have been trying out an #oura4 ring and was alarmed when it told me my #cardiovascularheath looked like someone 9 years older than I am. Was sobering. I reflected on life today, forced the dogs to take an extra long walk with me and was planning to fit in a bike ride up one the larger hills in #SanFrancisco tomorrow, and then I thought hang on... checked the app settings and it had picked up a completely random birth date - probably the product of a lifetime of lying to anyone who tries to collect my true date of birth.. Still going on the bike ride tomorrow. I'm no #datascientist but betting my heart will look better relative to my age tomorrow...

  4. Have been trying out an #oura4 ring and was alarmed when it told me my #cardiovascularheath looked like someone 9 years older than I am. Was sobering. I reflected on life today, forced the dogs to take an extra long walk with me and was planning to fit in a bike ride up one the larger hills in #SanFrancisco tomorrow, and then I thought hang on... checked the app settings and it had picked up a completely random birth date - probably the product of a lifetime of lying to anyone who tries to collect my true date of birth.. Still going on the bike ride tomorrow. I'm no #datascientist but betting my heart will look better relative to my age tomorrow...

  5. Chunk size in RAG systems defines the size of the text segments into which documents are split before embedding.

    I wanted to understand the impact of three different chunk sizes, so I built a small RAG system to test it: towardsdatascience.com/chunk-s

    :blobcoffee: Wishing you all a successful start to 2026

    #ai #datascience #datascientist #ki #artificialintelligence #python #rag #towardsdatascience #programming #Technology

  6. microsoft released some kind of study of the professions that will be most impacted by #AI tools

    there's a lot to take issue with here (mathematicians? historians? data scientists?) but the some of the entries are pretty undeniable (e.g. #translators, marketers)

    #historians #mathematicians #CNC #datascience #datascientist #MSFT

  7. @martincigan You mean as a kind of magic math that always works? Maybe, but then the person who presents such a figure needs to explain why they believe so. I am pretty sure the reason is simply that this is the easiest function to fit.

    Pro tip: If you want to expose a #datascientist for not being a #statistician, (and you could do this here too), ask them: What precisely do these shaded areas around your curves represent? Stammering guaranteed.

  8. Today I came across the central limit theorem once again. And the name already says it: central 😉

    :blobcoffee: Take many independent random variables & average them.
    → You’ll get something close to a normal distribution.
    → Whatever the originals looked like.

    :blobcoffee: To try it out in R:
    m <- replicate(10000, mean(runif(100, 0, 100)))
    hist(m, main="Distribution of means (CLT)")

    :blobcoffee: Essential for anyone working with data: In statistics, machine learning or science. And it turns out to be easier to understand than you might think.

    #data #datascience #datascientist #math #statistic #machinelearning #ai #ki #artificialintelligence #science #students

  9. Today I came across the central limit theorem once again. And the name already says it: central 😉

    :blobcoffee: Take many independent random variables & average them.
    → You’ll get something close to a normal distribution.
    → Whatever the originals looked like.

    :blobcoffee: To try it out in R:
    m <- replicate(10000, mean(runif(100, 0, 100)))
    hist(m, main="Distribution of means (CLT)")

    :blobcoffee: Essential for anyone working with data: In statistics, machine learning or science. And it turns out to be easier to understand than you might think.

    #data #datascience #datascientist #math #statistic #machinelearning #ai #ki #artificialintelligence #science #students

  10. Today I came across the central limit theorem once again. And the name already says it: central 😉

    :blobcoffee: Take many independent random variables & average them.
    → You’ll get something close to a normal distribution.
    → Whatever the originals looked like.

    :blobcoffee: To try it out in R:
    m <- replicate(10000, mean(runif(100, 0, 100)))
    hist(m, main="Distribution of means (CLT)")

    :blobcoffee: Essential for anyone working with data: In statistics, machine learning or science. And it turns out to be easier to understand than you might think.

    #data #datascience #datascientist #math #statistic #machinelearning #ai #ki #artificialintelligence #science #students

  11. Today I came across the central limit theorem once again. And the name already says it: central 😉

    :blobcoffee: Take many independent random variables & average them.
    → You’ll get something close to a normal distribution.
    → Whatever the originals looked like.

    :blobcoffee: To try it out in R:
    m <- replicate(10000, mean(runif(100, 0, 100)))
    hist(m, main="Distribution of means (CLT)")

    :blobcoffee: Essential for anyone working with data: In statistics, machine learning or science. And it turns out to be easier to understand than you might think.

    #data #datascience #datascientist #math #statistic #machinelearning #ai #ki #artificialintelligence #science #students

  12. Today I came across the central limit theorem once again. And the name already says it: central 😉

    :blobcoffee: Take many independent random variables & average them.
    → You’ll get something close to a normal distribution.
    → Whatever the originals looked like.

    :blobcoffee: To try it out in R:
    m <- replicate(10000, mean(runif(100, 0, 100)))
    hist(m, main="Distribution of means (CLT)")

    :blobcoffee: Essential for anyone working with data: In statistics, machine learning or science. And it turns out to be easier to understand than you might think.

  13. What’s a CSV Plot Agent? I wanted to create an agent that automatically analyzes and visualizes data from a CSV. I built it using LangChain and Streamlit (two Python frameworks).

    :blobcoffee: Check out the step-by-step guide here: medium.com/towards-artificial-

    :blobcoffee: Here’s the code in the GitHub repo: github.com/Sari95/CSV-Plot-Age

    #python #langchain #programming #agenticai #ai #ki #data #datascience #datascientist #streamlit #agent

  14. Can you remember learning to walk as a baby? You didn’t read a manual. Neither does an AI agent.

    Reinforcement Learning (RL) isn’t about knowing the correct answer.
    It’s about learning through trial and error, by interacting with an environment & receiving feedback.

    That’s how AlphaGo defeated a world champion:
    It first learned from expert games. Then it played against itself, millions of times, using RL to get better with each game. That’s how it mastered Go.

    #machinelearning #ai #ki #google #reinforcementlearning #alphago #datascience #datascientist

  15. Reinforcement Learning starts with a simple but powerful idea:
    Trial & Error. Learning what works.

    The Multi-Armed Bandit problem is a first step into this world.
    It's not just about slot machines. Iit's about how AI (and humans) learn to choose.

    towardsdatascience.com/simple-

    #ReinforcementLearning #AI #CognitiveScience #Psychology #Behavior #DecisionMaking #Bandits #machinelearning #KI #Datascience #datascientist

  16. Do you always go to the same café? Or do you try something new?

    That’s the exploration vs. exploitation dilemma: Decision under uncertainty.

    Multi-armed bandits model exactly that.

    And this dilemma shows up everywhere: Recommender systems, A/B tests, online ads, even in human psychology.

    Nobel Prize winner Daniel Kahneman called this one of the most fundamental cognitive patterns.

    🎰 I explain what it is, why it matters, and how AI systems handle it.

    :blobcoffee: Full article here: towardsdatascience.com/simple-

    #ReinforcementLearning #AI #CognitiveScience #Kahneman #Psychology #Behavior #DecisionMaking #Bandits #machinelearning #KI #Datascience #datascientist

  17. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  18. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  19. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

  20. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  21. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  22. What does a baby learning to walk have in common with AlphaGo’s Move 37?

    Both learn by doing — not by being told.

    That’s the essence of Reinforcement Learning.

    In my latest article, I explain Q-learning with a bit Python and the world’s simplest game: Tic Tac Toe.

    -> No neural nets.
    -> Just some simple states, actions, rewards.

    The result? A learning agent in under 100 lines of code.

    Perfect if you are curious about how RL really works, before diving into more complex projects.

    Concepts covered:
    :blobcoffee: ε-greedy policy
    :blobcoffee: Reward shaping
    :blobcoffee: Value estimation
    :blobcoffee: Exploration vs. exploitation

    Read the full article on Towards Data Science → towardsdatascience.com/reinfor

    #Python #ReinforcementLearning #ML #KI #Technology #AI #AlphaGo #Google #GoogleAI #DataScience #MachineLearning #Coding #Datascientist #programming #data

  23. #GetFediHired Hallo an Alle, bin auf der Suche nach einem neuen #fedijobs Lokal in Berlin/Brandenburg oder Remote als #datascientist mit 4.7 Jahren Berufserfahrung in Daten Analysen im Bereich #gis #python Diese Jahr schließe ich meine #masterarbeit im berufsbegleitenden Studiengang Data Science ab. Davor Werkstudententätigkeitrn während (B. Sc. Technische Informatik) und Wissenschaftlerlicher Mitarbeiter im Bereich #Elektrochemie (als Diplom Chemiker).

  24. #GetFediHired Hallo an Alle, bin auf der Suche nach einem neuen #fedijobs Lokal in Berlin/Brandenburg oder Remote als #datascientist mit 4.7 Jahren Berufserfahrung in Daten Analysen im Bereich #gis #python Diese Jahr schließe ich meine #masterarbeit im berufsbegleitenden Studiengang Data Science ab. Davor Werkstudententätigkeitrn während (B. Sc. Technische Informatik) und Wissenschaftlerlicher Mitarbeiter im Bereich #Elektrochemie (als Diplom Chemiker).

  25. #GetFediHired Hallo an Alle, bin auf der Suche nach einem neuen #fedijobs Lokal in Berlin/Brandenburg oder Remote als #datascientist mit 4.7 Jahren Berufserfahrung in Daten Analysen im Bereich #gis #python Diese Jahr schließe ich meine #masterarbeit im berufsbegleitenden Studiengang Data Science ab. Davor Werkstudententätigkeitrn während (B. Sc. Technische Informatik) und Wissenschaftlerlicher Mitarbeiter im Bereich #Elektrochemie (als Diplom Chemiker).

  26. #GetFediHired Hallo an Alle, bin auf der Suche nach einem neuen #fedijobs Lokal in Berlin/Brandenburg oder Remote als #datascientist mit 4.7 Jahren Berufserfahrung in Daten Analysen im Bereich #gis #python Diese Jahr schließe ich meine #masterarbeit im berufsbegleitenden Studiengang Data Science ab. Davor Werkstudententätigkeitrn während (B. Sc. Technische Informatik) und Wissenschaftlerlicher Mitarbeiter im Bereich #Elektrochemie (als Diplom Chemiker).

  27. #GetFediHired Hallo an Alle, bin auf der Suche nach einem neuen #fedijobs Lokal in Berlin/Brandenburg oder Remote als #datascientist mit 4.7 Jahren Berufserfahrung in Daten Analysen im Bereich #gis #python Diese Jahr schließe ich meine #masterarbeit im berufsbegleitenden Studiengang Data Science ab. Davor Werkstudententätigkeitrn während (B. Sc. Technische Informatik) und Wissenschaftlerlicher Mitarbeiter im Bereich #Elektrochemie (als Diplom Chemiker).

  28. Have you heard "it works on my machine"? Enter: containers. Learn how Docker, Inc ensures consistent ML models, data pipelines, and environments across any system in this article :blobcoffee: towardsdatascience.com/why-dat