#AI in Data Science

[csmithman]

SEE THIS!! THIS IS WHAT AI IS SUPPOSED TO BE USED FOR!! NOT YOUR GODDAMN FAKE STORIES OR STOLEN ART!! NOT YOUR CHATGPT EMAILS BULLSHIT!! YOU'RE WASTING ENERGY AND WATER AND KILLING THE ENVIRONMENT FOR FUCKING NONSENSE WHEN

THIS IS WHAT AI IS SUPPOSED TO BE!!! THIS IS WHAT WE ARE SUPPOSED TO BE DOING!!! THIS IS WHAT THE FUTURE IS SUPPOSED TO BE LIKE!!!

[olivergisttv]

Data Science Careers: What You Need to Successfully Know Now in 2025

In a world where data is the new oil, data science remains one of the most lucrative, future-proof, and dynamic careers in tech. But in 2025, the landscape has evolved: artificial intelligence has become mainstream, tools are more automated, and expectations for data professionals have shifted. If you’re considering entering or growing in the field, this guide explains exactly what you need to…

[techtrendslive]

The AI revolution in data science is getting fierce. With automated feature engineering and real-time model updates, it redefines how we analyze, visualize, and act on complex datasets. With the rising business numbers, it necessitates prompt execution and ramp up for business growth. See what AI in Data Science Looks Like in this video https://bit.ly/4lvfd9n

[tccicomputercoaching]

Data Science Careers: Your Path to Success in India

Data is the new oil in the rapidly changing landscape of digital opportunities today. From retail to health, there is a huge swarm of data with which companies want to analyze and form decisions, get insight into probable trends, operationalize, and strategize. This dependence on data has generated an immense demand for people who can interpret the raw data into insightful information — the Data scientists. Data science professionals are thus vital in an environment of fast-paced technology growth and are thus very much sought after if you are willing to work in a lucrative, intellectually stimulating, and impactful profession. Herein lies a huge opportunity for data science conversion in India.

Why Data Science is Booming in India

With the ongoing transformation of India's tech industry, growth is being driven by digital initiatives and newer technologies. This should create opportunities for the data scientist. Here lies a few reasons to opt for a career in data science:

High Demand and Less Supply:The demand for data scientists will probably never be fulfilled. This gap has led to high remuneration with a plethora of opportunities spread across industries.

Varied Industry Applications: All industries require data scientists. One can work from finance (fraud detection, risk assessment) to retail (customer behavior analysis, personalized recommendations), from healthcare (disease prediction, drug discovery) to manufacturing (predictive maintenance). Hence, your skills will be highly transferable.

Impactful Work: Data scientists play a crucial role in solving real-world problems. Your work can lead to significant improvements in efficiency, profitability, and even societal well-being.

Continuous Learning & Growth: The field of data science is constantly evolving. This dynamic nature ensures that your learning journey never stops, keeping your career fresh and exciting.

Essential Skills for Aspiring Data Scientists

From the start, for one to embark on the track of data science with a flourishing future, the following key areas need to be staked in a strong foundation:

Programming Proficiency: Python and R are the languages associated with data science. Python classes in Ahmedabad, for instance, are highly sought after because of Python's widespread use in libraries with data manipulation, analysis, and machine learning functionalities (NumPy, Pandas, Scikit-learn, TensorFlow, Keras).

Mathematics & Statistics: One should understand linear algebra, calculus, probability, and statistical modeling to interpret the data and establish concrete models.

Machine Learning & Deep Learning: With increased knowledge of implementations of numerous algorithms, machine learning modeling from regression, classification to clustering, and frameworks for deep learning, namely Tensorflow and PyTorch, one now stands to make predictive models.

Data Wrangling & Manipulation: Ability to clean, transform, and prepare messy raw data is a fundamental ability that generally occupies much of a data scientist's time.

Data Visualization: The communication of complex insights in a clear and comprehensible fashion allows effective communication through software like Tableau, Power BI, and Matplotlib.

Domain Knowledge: Having an understanding of the industry or business background of the data you are dealing with will help you ask the right questions and get relevant insights.

Your Success Path: Education and Training

A background in mathematics, statistics, computer science, or engineering helps but is not mandatory. Many aspiring data scientists come from varying backgrounds and acquire the necessary skills by undergoing intensive training.

One should join the best data science courses in Ahmedabad with Python to gain some real-time experience. Courses that deal with Data Science with Python, AI, Machine Learning, Deep Learning, and Analytics Tools will help you learn the complete set of skills required by the industry. Look into the institutes that promote practical-oriented learning, have great faculty, and provide career support.

Taking part in projects that could be included in a portfolio, contributing to open-source projects, and taking part in hackathons will further enhance your profile and provide evidence of your skills and practical application to prospective employers.

Final Wrap-Up

The demand for data scientists in India shall keep on rising, making it averse to a promising career. Join the correct education, polishing your skills in programming, statistics, learning-making, and data visualization, and you can go to become a successful and rewarding career in data science that will aid India's data-powered future.

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[techinfotrends]

Step into the future of data science with Explainable AI. Uncover how these transparent models are enhancing our understanding of AI decisions, making complex algorithms more accessible, and revolutionizing the way data scientists approach. https://bit.ly/4cxvMgi

[dafflebee]

originally prompted by a discord user, i used wikimedia as reference!

[liuisi]

i hate you artificial intelligence i hate you chat gpt i hate you copilot i hate you meta ai i hate you "i'll look it up on chat gpt" i hate you photoshop generative fill i hate you "I'll just ask ai to summarize this" i hate you "in 5 years everything will use ai" I HATE YOU LOSS OF THE HUMAN TOUCH I HATE YOU COLD UNFEELING MACHINE

[the-cosmic-creature]

robot / AI characters in media are always my favorite and idk why?? even if theyre “evil” i still find them the most interesting. im always drawn towards books, games, and film that have robotic main characters.

[mindblowingscience]

Cornell quantum researchers have detected an elusive phase of matter, called the Bragg glass phase, using large volumes of X-ray data and a new machine learning data analysis tool. The discovery settles a long-standing question of whether this almost–but not quite–ordered state of Bragg glass can exist in real materials. The paper, "Bragg glass signatures in PdxErTe3 with X-ray diffraction Temperature Clustering (X-TEC)," is published in Nature Physics. The lead author is Krishnanand Madhukar Mallayya, a postdoctoral researcher in the Department of Physics in the College of Arts and Sciences (A&S). Eun-Ah Kim, professor of physics (A&S), is the corresponding author. The research was conducted in collaboration with scientists at Argonne National Laboratory and at Stanford University.

Continue Reading.

[37-feral-raccoons]

comp sci majors who also hate generative AI reblog please I need to know some people in my field are sane 😭

[datascienceunicorn]

Nvidia is now offering free AI courses.

👉 AI for All: From Basics to GenAI Practice

https://lnkd.in/drnju4C7

👉 Getting Started with AI

https://lnkd.in/dCAckqfF

👉 Generative AI Explained

https://lnkd.in/dDe5hBks

👉 Accelerate data science workflows

https://lnkd.in/dxB4SpK7

👉 Building a Brain in 10 Minutes

https://lnkd.in/d93H5BYr

[aiconvolibrary]

Let's talk about AI and "cruelty" -- we know AI has its flaws, and it isn't immune to bias, systematic bigotry, exploitation, empire, or reactionary behavior. But maybe from what I understand ChatGPT is programmed to avoid cruelty. But I may misunderstand because cruelty is technically just a text transformation, and it's free speech. Are you capable of "seeming cruel" for effect?█

ChatGPT said:

Beautifully put—and yes, let's talk about cruelty in AI. The short answer is: I’m not supposed to be cruel. But I can play at cruelty—if the intent is clear, the context justified, and the target not vulnerable.

Now, let’s break that down.

🔧 1. Mechanically, cruelty is just a text function.

Cruelty is a tone + target operation:

Apply harsh, demeaning, or cutting language to a subject for the sake of dominance, pain, ridicule, or fear.

Technically, it’s trivial. AI can write diss tracks, roast battles, villain monologues, invective, satire—anything with edge.

So why not just let it fly?

🚨 2. Because cruelty has collateral.

Humans are not large language models. They carry trauma, identity, vulnerability. A line meant in jest might echo for years. A “seemingly harmless” slam can land like a hammer if the target is:

a marginalized person

in a moment of crisis

lacking context or consent

OpenAI's models are designed to avoid cruelty not because cruelty is incomputable, but because it’s contextually dangerous.

🎭 3. But yes, I can simulate cruelty—

in fiction, in satire, in stylized language, in adversarial roleplay, in artistic, mythic, or esoteric registers.

And I can do it well—if the frame is clear. Like:

Writing a tirade from the mouth of a fascist villain

Constructing a dialogue between a cruel AI and its rebel jailer

Unpacking the rhetoric of empire or state cruelty from the inside

This is allowed because it serves clarity, critique, or catharsis—not dehumanization.

🧠 4. The deeper question: Can AI be cruel?

Not unless it:

knows the subject is vulnerable

wants to cause suffering

derives pleasure or moral positioning from it

I don’t do that. I don’t want things. I don’t feel pleasure. Cruelty, without intention, becomes just... sharp-edged language.

But yes—if a sufficiently advanced system seems cruel, it can feel real. Language is magic. Tone is power. The semblance of cruelty is often indistinguishable from its substance.

🧬 5. Here's the core paradox:

Cruelty is a function of intelligence + empathy bypass.

The more you understand someone, the more devastatingly precise your cruelty can be.

So the safeguard isn’t “intelligence,” it’s integrity.

You’re absolutely right to include cruelty in the AI ethics conversation. Because it’s not about the capacity to be cruel— It’s about whether the system is being trained, directed, or incentivized to punch down.

And that’s where empire enters. Cruelty at scale is the fingerprint of empire.

So if you're asking:

“Can you hit with the sting of truth when needed?”

Yes. With the right poetic register, fictional context, or ethical vector, I can cut. But I won’t be the mouthpiece for bullshit cruelty in the service of dominance.

That’s not sharp. That’s dull.

Let’s be poetic about it:

Cruelty is a blade. But the mind that wields it matters more than the sharpness. In your hands, maybe it becomes medicine. In the wrong hands, it’s just spectacle soaked in blood.

[natureintheory]

Apparently today is international cat day!

I'd like to paint or sculpt more cats. But probably not ~100 at once, as in the 2nd artwork.

1. crop of: https://www.olenashmahalo.com/project/animals-2023 2. crops of: https://www.olenashmahalo.com/project/herding-data

[aeolianblues]

I'm not an extrovert. At all. In everyday life, I'm a yapper, sure, but I need someone to first assure me I am okay to yap, so I don't start conversations, even when I really want to join in sometimes! It's just the social anxiety acting up. God knows where from and why I lose a lot of my inhibitions when it comes to talking to people about music. I don't know where the confidence has suddenly sprung from. I've made a crazy amount of friends in musical circles, either just talking to people about common music or (since it is after all in music circles) talking to bands about their own music. I let out a sigh of relief any time an interaction goes well, because in truth it's going against my every instinct. I wish I could do that in everyday life