#datascienceconcepts resultados da pesquisa

Key data science concepts ... Interrival Technology Visit for more info: interrivaltechnology.com Follow: @interrival_tech Facebook - Interrival T Twitter - InterrivalTech Youtube - interrival_tech #datascience #datascienceconcepts

InterrivalTech's tweet image. Key data science concepts
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Interrival Technology

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#datascience #datascienceconcepts
InterrivalTech's tweet image. Key data science concepts
...
Interrival Technology

Visit for more info: interrivaltechnology.com

Follow: @interrival_tech
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#datascience #datascienceconcepts

#DataSciencefromscratch #DataScienceconcepts #DataScience Data Science from Scratch Part -1 This is a series where I would be covering every little concept used in Data Science as I am brushing up on my interview skills. Today I am tweeting about Linear Transformations.


#DataSciencefromscratch #DataScienceconcepts #DataScienceData Science from Scratch Part -2: Eigenvalues and Eigen Vectors This is a series where I would be covering every little concept used in Data Science as I am brushing up on my interview skills.


Learn the basic algebra concepts used in Machine Learning. Concepts like Vectors and matrix, component Analysis, etc. #ML #Machinelearning #Datascienceconcepts #datascience dimensionless.in/basic-linear-a…


That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience

How To Build An AI Agent (bookmark this for later)

mdancho84's tweet image. How To Build An AI Agent

(bookmark this for later)


That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience

8 Types of LLMs used in AI Agents (Must know for Gen AI Data Scientists & AI Engineers): Here's what they are and what they do: 🧵

mdancho84's tweet image. 8 Types of LLMs used in AI Agents (Must know for Gen AI Data Scientists & AI Engineers):

Here's what they are and what they do: 🧵


Enterprise Data Science Platform: A Unified Architecture for Federated Data Access. arxiv.org/abs/2512.03401


It’s a core discipline that bridges the gap between collecting data and extracting value. Strong foundations = strong data science. #50DaysOfDataEngineering #DataEngineering #DataScience #Analytics #MachineLearning

jcndata's tweet image. It’s a core discipline that bridges the gap between collecting data and extracting value.
Strong foundations = strong data science.
#50DaysOfDataEngineering #DataEngineering #DataScience #Analytics #MachineLearning

That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become a data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience

🔥 GPT-6 may not just be smarter. It literally might be alive (in the computational sense). A new research paper, SEAL: Self-Adapting Language Models (arXiv:2506.10943), describes how an AI can continuously learn after deployment, evolving its own internal representations…

mdancho84's tweet image. 🔥 GPT-6 may not just be smarter. 

It literally might be alive (in the computational sense).

A new research paper, SEAL: Self-Adapting Language Models (arXiv:2506.10943), describes how an AI can continuously learn after deployment, evolving its own internal representations…


Cross Entropy in Data Science: Concepts and Applications Cross entropy in data science explained to show it improves model accuracy for world decisions daily datamites.com/blog/cross-ent… #DataScienceCourse #CrossEntropy #DatamitesDataScienceCourse #DatamitesInstitute


A Datalake for Data-driven Social Science Research. arxiv.org/abs/2512.02463


🦾 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 — 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗠𝗲𝗺𝗲 📌 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 = 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 + 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 + 𝗗𝗼𝗺𝗮𝗶𝗻 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲

Babington4u's tweet image. 🦾 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 — 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗠𝗲𝗺𝗲

📌 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 = 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 + 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 + 𝗗𝗼𝗺𝗮𝗶𝗻 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲

KirkDBorne's tweet image. The Data Science Design Manual: amzn.to/45lXMTn
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#DataScience #DataScientist #Analytics #AI #ML #MachineLearning #DataViz #DataStorytelling #DataLiteracy

If you want to become a stronger Data Scientist, start thinking like an econometrician or a time-series analyst. Data Science goes far beyond just writing code.

Babington4u's tweet image. If you want to become a stronger Data Scientist, start thinking like an econometrician or a time-series analyst. Data Science goes far beyond just writing code.

That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become an AI data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience

The 10 types of clustering that all data scientists need to know. Let's dive in:

mdancho84's tweet image. The 10 types of clustering that all data scientists need to know. 

Let's dive in:


Generative AI for Data Analyst 📘 Introduction and Applications 💡 Prompt Engineering Basics 📊 Enhance your Data Analytics Career imp.i384100.net/9g5vVe


Data Science with Databricks for Data Analysts Specialization imp.i384100.net/Y97GOm


That's a wrap! Over the next 24 days, I'm sharing the 24 concepts that helped me become an AI data scientist. If you enjoyed this thread: 1. Follow me @mdancho84 for more of these 2. RT the tweet below to share this thread with your audience

This 277-page PDF unlocks the secrets of Large Language Models. Here's what's inside: 🧵

mdancho84's tweet image. This 277-page PDF unlocks the secrets of Large Language Models. 

Here's what's inside: 🧵


The Foundation of Data Science: Data Preparation & EDA! Before any model is trained or any decision is made, we must master the art of Data Preparation. Garbage In, Garbage Out. Reliable insights depend entirely on reliable, well-prepared data. This is where the magic begins!…

Datawiztec's tweet image. The Foundation of Data Science: Data Preparation & EDA!

Before any model is trained or any decision is made, we must master the art of Data Preparation.

Garbage In, Garbage Out. Reliable insights depend entirely on reliable, well-prepared data. This is where the magic begins!…
Datawiztec's tweet image. The Foundation of Data Science: Data Preparation & EDA!

Before any model is trained or any decision is made, we must master the art of Data Preparation.

Garbage In, Garbage Out. Reliable insights depend entirely on reliable, well-prepared data. This is where the magic begins!…
Datawiztec's tweet image. The Foundation of Data Science: Data Preparation & EDA!

Before any model is trained or any decision is made, we must master the art of Data Preparation.

Garbage In, Garbage Out. Reliable insights depend entirely on reliable, well-prepared data. This is where the magic begins!…
Datawiztec's tweet image. The Foundation of Data Science: Data Preparation & EDA!

Before any model is trained or any decision is made, we must master the art of Data Preparation.

Garbage In, Garbage Out. Reliable insights depend entirely on reliable, well-prepared data. This is where the magic begins!…

In the first part of a three-part series, we explore how graph data models turn organizational misalignment and data silos into connected systems. #DataScience #AI #ArtificialIntelligencehttps://opendatascience.com/from-graphs-to-generative-ai-building-context-that-pays-part-1/


Our first contribution: DataConcept✨ A densely annotated dataset of 128M images with bounding-boxes, concept tags, synthetic recaptions and more! This enables targeted curation at the concept-level!

vishaal_urao's tweet image. Our first contribution: DataConcept✨

A densely annotated dataset of 128M images with bounding-boxes, concept tags, synthetic recaptions and more!

This enables targeted curation at the concept-level!

Is data storytelling dead? 🤔 In a world of AI-generated charts, we argue "No." These top articles show that blending facts, intuition, and opinion into a coherent narrative is a distinctly human superpower that drives better decision-making. Contribute your expertise to the…


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