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A developer's guide to the data tools landscape: concepts, workflows, and buzzwords explained

Found yourself on a data project and have no idea what they all are talking about? Feel excluded from all the fun discussions in the office kitchen? If only there were a humongous guide going over all the concepts and buzzwords...

technologyprogrammingdata science

sinja.io·Hacker News: Front Page·1d ago·46 min read

R Programming: An Open-Source Tool for Statistical Data Analysis in Research

Insighteducationprogramming

Shared by @Parajulisaroj16 ↗

pyoflife.com1d ago

Kate Metcalf Appointed Assistant Professor at UC Berkeley School of Information

Newseducationscience

Shared by @berkeleyischool.bsky.social ↗

ischool.berkeley.edu1d ago

Mathematical Foundations of Data Science: A Textbook Overview

This book is about the mathematical foundations of data science. 1. Introduction 2. Curses, Blessings, and Surprises in High Dimensions 3. Singular Value Decomposition and Principal Component Analysis 4. Linear Regression and Regularization 5. G

educationscience

Shared by @DynamicsSIAM ↗

arxiv.org2d ago

The most popular number in Hacker News titles is 2 — and here's why the data is surprising

Two consecutive titles on the HN front page yesterday had a 6 in them. This means _nothing_. But it's the sort of nothing that lodges in your brain until you do

Insighttechnologydata analysisdata science

blog.omgmog.net·Hacker News: Front Page·2d ago·8 min read

Understanding analytic variability through multiverse analysis in scientific research

Better Code, Better Science: Chapter 9, Part 7

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russpoldrack.substack.com·Tech by Flipboard·3d ago·10 min read

Esri's Geodemographic Foundation Model learns location fingerprints through embedding-based intelligence

This blog describes how Esri’s Geodemographic Foundation Model learns location fingerprints and powers embedding-based location intelligence.

Insighttechnologysciencedata science

esri.com·Tech by Flipboard·4d ago·8 min read

5 Recommended Books for Learning Data Science Prerequisites as a Beginner

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Shared by @gp_pulipaka ↗

geni.us5d ago

Data Salience as the Key Moat for Frontier AI Labs

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Shared by @ds-bun.bsky.social ↗

mbi-deepdives.com7d ago

How Data Scientists Turn Raw Data into Business Strategies

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Shared by @postuniversity.bsky.social ↗

post.edu7d ago

How to read an ArcGIS feature service using the R programming language

technologyeducation

Shared by @josiah.rs ↗

learn.arcgis.com8d ago

A visual, intuition-driven introduction to information theory and its core concepts

Information theory, though originally developed for communications engineering, provides mathematical tools with broad applications across science. These tools characterize the fundamental limits of data compression and transmission in the presence of noi

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Shared by @dair_ai ↗

arxiv.org8d ago

Three recommended data science books from 2022 to read in 2023

Reviewtechnologybooks

Shared by @gp_pulipaka ↗

geni.us8d ago

DataSTORM: An LLM Agent System for Deep Research on Large-Scale Structured Databases

Deep research with Large Language Model (LLM) agents is emerging as a powerful paradigm for multi-step information discovery, synthesis, and analysis. However, existing approaches primarily focus on unstructured web data, while the challenges of conductin

Newstechnologyscienceartificial intelligence

arxiv.org·Twitter AI·8d ago·2 min read