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📉 Data Science
Analytics, Statistics, Python, Data Visualization
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LoveData
: A Mini
Celebration
of All Things Data Science
library.caltech.edu
·
2d
⚙️
Data Engineering
Some Open Problems in Probability that are Relevant to Applied Statistics (my talk this Wed
noon
at the Columbia statistics department student
seminar
)
statmodeling.stat.columbia.edu
·
1d
🕸️
Network Theory
N-Grams
and Other
Experiments
dotterrer.bearblog.dev
·
13h
🤖
LLMs
Data-driven decision making using Power
BI
.
dev.to
·
10h
·
Discuss:
DEV
⚙️
Data Engineering
Vibe
Coding for Scientists
vibe-coding-intro.vercel.app
·
16h
⚡
Code Generation
MacrOData
: New Benchmarks of Thousands of Datasets for Tabular
Outlier
Detection
arxiv.org
·
1d
🤖
LLMs
Fundamentals
of Data
Visualization
clauswilke.com
·
3d
📊
Algorithms
Main
Content ||
Math
∩ Programming
jeremykun.com
·
3d
📊
Algorithms
Building Your Modern Data Analytics Stack with Python,
Parquet
, and
DuckDB
kdnuggets.com
·
1d
🗄️
Databases
Carnegie
Mellon at
NeurIPS
2025
blog.ml.cmu.edu
·
14h
📈
Optimization
I Built a Complete AI
Resume
with 90+
ATS
Score
analyticsvidhya.com
·
18h
💬
Prompt Engineering
Comprehensive
Data
Analytics
freelancer.pl
·
3d
⚙️
Data Engineering
datavorous/spheni
: An in-memory vector search library in C++ with Python bindings
github.com
·
16h
·
Discuss:
Hacker News
🔍
Vector Databases
Data Science for
Lawyers
datascienceforlawyers.org
·
2d
⚙️
Data Engineering
Hello DEV! 👋 I'm
Chetan
– Student Learning
ML
, Python & AI One Project at a Time
dev.to
·
14h
·
Discuss:
DEV
⚡
Code Generation
Skills
in OpenAI API
developers.openai.com
·
2h
·
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Hacker News
💬
Prompt Engineering
Document
Clustering
with LLM Embeddings in
Scikit-learn
machinelearningmastery.com
·
1d
🔍
Vector Databases
Show HN:
PythonICO
– Simple SVG Badges for
PyPI
Stats (FastAPI)
news.ycombinator.com
·
12h
·
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Hacker News
⚡
FastAPI
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
17h
·
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Hacker News
📈
Optimization
Supervised Learning of Functional Outcomes with
Predictors
at Different
Scales
: A Functional Gaussian Process Approach
arxiv.org
·
1d
📈
Optimization
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