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Data Science

Data Science allows us to extract meaning from and interpret data.

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DBSCAN Has No Loss Function. That's Not a Bug.
nishant_banginwar_80b7dc5 profile

DBSCAN Has No Loss Function. That's Not a Bug.

#machinelearning #ai #devops #datascience
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5 min read
PART 3 - STATISTICS
sami21234 profile
Sami

PART 3 - STATISTICS

#datascience #maths
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5 min read
An IRT-shaped practice score is not an IQ test
connerlambden profile

An IRT-shaped practice score is not an IQ test

#algorithms #datascience #learning
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2 min read
How to Choose a Minimum Detectable Effect (MDE)
david_sert profile

How to Choose a Minimum Detectable Effect (MDE)

#abtesting #statistics #analytics #datascience
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9 min read
Multi-Armed Bandit Testing: How It Works and When to Use
david_sert profile

Multi-Armed Bandit Testing: How It Works and When to Use

#abtesting #machinelearning #statistics #datascience
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11 min read
Small Models That Think Harder Beat Big Models That Sound Confident
o96a profile

Small Models That Think Harder Beat Big Models That Sound Confident

#ai #datascience #opensource
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2 min read
Why Federal Reform Picks AI‑Native Outcome Integrators
greg_godbout_e3521d702581 profile

Why Federal Reform Picks AI‑Native Outcome Integrators

#ai #datascience #leadership #govtech
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4 min read
Design + Product Thinking: NYC’s Path to Reliable AI
greg_godbout_e3521d702581 profile

Design + Product Thinking: NYC’s Path to Reliable AI

#ai #productmanagement #designthinking #datascience
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4 min read
Speaker embeddings can mistake a 0.7-semitone change for something else
bedvibe_studios profile

Speaker embeddings can mistake a 0.7-semitone change for something else

#machinelearning #ai #research #datascience
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3 min read
I fed raw radiance to a hyperspectral crop AI. On a held-out synthetic test, its score fell from 0.887 to 0.373.
ashutosh-veriprajna profile

I fed raw radiance to a hyperspectral crop AI. On a held-out synthetic test, its score fell from 0.887 to 0.373.

#agriculture #ai #datascience #machinelearning
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8 min read
Garbage In, Garbage Out: A Beginner’s Guide to Data Cleaning
muhammad_muntazir_92189c7 profile

Garbage In, Garbage Out: A Beginner’s Guide to Data Cleaning

#beginners #datascience #machinelearning #tutorial
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3 min read
Why Explainability Isn't Optional: XAI in Healthcare, Finance, and Autonomous Vehicles
gollamandala_nirelsolomo profile

Why Explainability Isn't Optional: XAI in Healthcare, Finance, and Autonomous Vehicles

#ai #datascience #deeplearning #machinelearning
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4 min read
Part 1: Why Statistics Matters in Data Science
sharonnyabuto profile

Part 1: Why Statistics Matters in Data Science

#data #datascience #machinelearning
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6 min read
The easiest numbers to fake are the hardest to catch. That is one property, not two.
lizhuojunx86 profile

The easiest numbers to fake are the hardest to catch. That is one property, not two.

#datascience #opensource #ai #programming
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3 min read
How Clinical Research Engineers Can Kill the PHI Sprawl Problem in Staging Environments
jitendra_devabhaktuni_0f1 profile

How Clinical Research Engineers Can Kill the PHI Sprawl Problem in Staging Environments

#ai #database #clinicalresearch #datascience
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8 min read
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