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⚙️ Feature Engineering
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feature selection, feature stores, data features, ML features
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172253
posts in
23.3
ms
Feature Engineering in Python: A
Beginner
’s Guide for Machine Learning
yumnas.medium.com
·
1d
⚡
Machine Learning
Using
Rel
for Machine Learning Data
Preprocessing
relational.ai
·
2h
⚡
Machine Learning
How data
preprocessing
and feature engineering
improved
model performance
medium.com
·
2d
⚡
Machine Learning
The Secret
Sauce
of
Profitable
Trading Models: Feature Engineering for Financial Machine Learning
wire.insiderfinance.io
·
1d
⚡
Machine Learning
Statistical
Testing Framework for Clustering Pipelines by
Selective
Inference
arxiv.org
·
19h
⚡
Machine Learning
S&OP Engineering IV: Scaling to Enterprise (
Multi-SKU
&
Bottlenecks
)
colab.research.google.com
·
16h
·
Discuss:
DEV
🎯
Fine-tuning
Automatic
Configuration
of LLM Post-Training
Pipelines
arxiv.org
·
19h
⚙️
MLOps
Built an AI content intel tool for
YouTubers
— turns Reddit signals into video
scripts
channellens.com
·
8h
·
Discuss:
r/SideProject
⚙️
MLOps
Visitran
: Agentic Pythonic data transformation platform(
AGPL
)
github.com
·
1d
·
Discuss:
Lobsters
,
Hacker News
⚙️
MLOps
How to Train a Semi-Supervised
Classifier
With
Pseudo-Labeling
and CNN Embeddings
hackernoon.com
·
2d
⚡
Machine Learning
A/B Testing RAG
Pipelines
:
Chunk
Size, Retrieval, Embeddings, and Prompts
pub.towardsai.net
·
1d
📚
RAG
AI optimization: How we cut energy costs in social media
recommendation
systems
infoworld.com
·
14h
⚙️
MLOps
ory/lumen
: Illuminate your codebase with semantic search for code agents. Faster and cheaper results over
grep/find/glob
. Works great in small and large code bases. Enterprise-ready and compliant with local embeddings via Ollama and SQLite-vec.
github.com
·
11h
·
Discuss:
r/coding
⚙️
MLOps
Introducing
Gemini
Embeddings
2 Preview
towardsdatascience.com
·
3d
🤗
Hugging Face
Development Issues in
ML
Pipelines
dinagoethe.medium.com
·
3d
⚙️
MLOps
On
predicting
sociodemographics
from mobility signals
sciencedirect.com
·
2d
⚡
Machine Learning
Latent Reasoning
Sprint
#2: Token-Based Signals and Linear
Probes
lesswrong.com
·
1d
⚙️
MLOps
Embeddings
in
NLP
: How Machines Turn Words Into Meaning
medium.com
·
1d
📚
RAG
You’ve Been One-Hot
Encoding
Everything. Here’s Why That’s
Costing
You.
pub.towardsai.net
·
2d
🤗
Hugging Face
Less-relevant results
Building Production-Ready AI
Document
Processing
Pipelines
with RAG
dev.to
·
5d
·
Discuss:
DEV
📚
RAG
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