Tag: do
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Where do you see HR/People Analytics evolving over the next 5 years?
Where do you see HR/People Analytics evolving over the next 5 years? Curious how practitioners see the field shifting, particularly around: AI integration Predictive workforce modeling Skills-based org design Ethical boundaries Data ownership changes HR decision automation What capabilities do you think will define leading functions going forward? submitted by /u/Proof_Wrap_2150 [link] [comments] /u/Proof_Wrap_2150 Go…
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Do You Smell That? Hidden Technical Debt in AI Development
Do You Smell That? Hidden Technical Debt in AI Development Why speed without standards creates fragile AI products The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source
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How to Do Evals on a Bloated RAG Pipeline
How to Do Evals on a Bloated RAG Pipeline Comparing metrics across datasets and models The post How to Do Evals on a Bloated RAG Pipeline appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem
Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding than supervised learning The post Do Labels Make AI Blind? Self-Supervision Solves the Age-Old Binding Problem appeared first on Towards Data Science. Jonathan Williford Go to original source
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Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype
Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype A perspective on GraphRAG design best practices, challenges and learnings The post Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype appeared first on Towards Data Science. Partha Sarkar Go to original source
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later Here’s why it happens — and how to fix it The post What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later appeared first on Towards Data Science. Javier Marin Go to original source
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How to perform synthetic control for multiple treated units? What are the things to keep in mind while performing it? Also, what python package i could use? Also have questions about metrics
How to perform synthetic control for multiple treated units? What are the things to keep in mind while performing it? Also, what python package i could use? Also have questions about metrics Hi I have never done Synthetic control, i want to work on a small project (like small data. My task is to find…
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Do you know interesting datasets for kriging?
Do you know interesting datasets for kriging? Hi guys, I need to do a project using many linear models and I’m looking for a dataset. Ideally something interesting with lots of numerical variables, especially one where kriging could be applied. If you have any dataset suggestions or interesting research questions I could build the project…
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How do I prepare for my data science job as a new grad?
How do I prepare for my data science job as a new grad? I just graduated from my bachelors in May. Recently, I’ve been fortunate enough to receive an offer as a data scientist I at a unicorn where most of the people on the ds team have PhDs. My job starts in a month…
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How Do Grayscale Images Affect Visual Anomaly Detection?
How Do Grayscale Images Affect Visual Anomaly Detection? A practical exploration focusing on performance and speed The post How Do Grayscale Images Affect Visual Anomaly Detection? appeared first on Towards Data Science. Aimira Baitieva Go to original source
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Do You Really Need a Foundation Model?
Do You Really Need a Foundation Model? LLM or custom model: how should you choose the right solution? The post Do You Really Need a Foundation Model? appeared first on Towards Data Science. Vincent Vandenbussche Go to original source
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How do you efficiently traverse hundreds of features in the dataset?
How do you efficiently traverse hundreds of features in the dataset? Currently, working on a fintech classification algorithm, with close to a thousand features which is very tiresome. I’m not a domain expert, so creating sensible hypotesis is difficult. How do you tackle EDA and forming reasonable hypotesis in these cases? Even with proper documentation…
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Would you do this job if you were rich enough to retire?
Would you do this job if you were rich enough to retire? Curious your perspective on this. Many of us got into the field because it was lucrative and ensures a stable living, But it also is intrinsically interesting to study and challenge yourself. The personalities attracted to tech are often fun and make work…
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Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype
Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype Improve static analysis and run-time validation with full generic specification The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science. Christopher Ariza Go to original source
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How to Ensure Your AI Solution Does What You Expect iI to Do
How to Ensure Your AI Solution Does What You Expect iI to Do Generative AI (GenAI) is evolving fast — and it’s no longer just about fun chatbots or impressive image generation. 2025 is the year where the focus is on turning the AI hype into real value. Companies everywhere are looking into ways to…
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I Won’t Change Unless You Do
I Won’t Change Unless You Do In Game Theory, how can players ever come to an end if there still might be a better option to decide for? Maybe one player still wants to change their decision. But if they do, maybe the other player wants to change too. How can they ever hope to…
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How to do Date calculations in DAX
How to do Date calculations in DAX Moving back and forth in time is a common task for Time Intelligence in DAX. Let’s take a deeper look on how DATEADD() works. Continue reading on Towards Data Science » Salvatore Cagliari Go to original source
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Should I Try to postpone my FAANG Interview?
Should I Try to postpone my FAANG Interview? So I got contacted by a FAANG Recruiter for a Data Scientist Role I applied for a month and a half ago. But as I have started to prep, I realize I am not ready and need 1 to 2 months before I would be able to…
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Where do you go to stay up to date on data analytics/science?
Where do you go to stay up to date on data analytics/science? Are there any people or organizations you follow on Youtube, Twitter, Medium, LinkedIn, or some other website/blog/podcast that you always tend to keep going back to? My previous career absolutely lacked all the professional “content creators” that data analytics have, so I was…
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What to Do If the Logit Decision Boundary Fails?
What to Do If the Logit Decision Boundary Fails? Feature engineering for classification models using Bayesian Machine Learning Continue reading on Towards Data Science » Lukasz Gatarek Go to original source
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Do you prepare for interviews first or apply for jobs first?
Do you prepare for interviews first or apply for jobs first? I’ve started looking for a new job and find myself in a bit of a dilemma that I’m hoping you might have some experience with. Every day, I come across roles that seem like a great fit, but I hesitate to apply because I…
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why not do training?
https://www.abc.net.au/news/2024-11-17/solar-flooded-australia-told-its-okay-to-waste-some/104606640 during periods of “excess” power. train gpt x , alphafold y, n so on… batteries not required