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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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āļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāļ—āļĩāđˆāđ‚āļāļŦāļ: Overfitting āļāļąāļš Generalization Gap āļāļąāļšāļ”āļąāļāļ‚āļ­āļ‡ AI Dojo
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āļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāļ—āļĩāđˆāđ‚āļāļŦāļ: Overfitting āļāļąāļš Generalization Gap āļāļąāļšāļ”āļąāļāļ‚āļ­āļ‡ AI Dojo

#ai #machinelearning #programming #productivity
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2 min read
Dojo āļŠāļ­āļ‡āļŠāļēāļĒ: āļ›āļĢāļąāļšāļ™āđ‰āļģāļŦāļ™āļąāļāđ‚āļĄāđ€āļ”āļĨāļ”āđ‰āļ§āļĒ RL āļāļąāļšāļ›āļĢāļąāļšāļ§āļīāļ™āļąāļĒāļ”āđ‰āļ§āļĒ Harness āļ•āđˆāļēāļ‡āļāļąāļ™āļ­āļĒāđˆāļēāļ‡āđ„āļĢ
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Dojo āļŠāļ­āļ‡āļŠāļēāļĒ: āļ›āļĢāļąāļšāļ™āđ‰āļģāļŦāļ™āļąāļāđ‚āļĄāđ€āļ”āļĨāļ”āđ‰āļ§āļĒ RL āļāļąāļšāļ›āļĢāļąāļšāļ§āļīāļ™āļąāļĒāļ”āđ‰āļ§āļĒ Harness āļ•āđˆāļēāļ‡āļāļąāļ™āļ­āļĒāđˆāļēāļ‡āđ„āļĢ

#ai #machinelearning #programming #productivity
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1 min read
Meta AIRA āļˆāļēāļāļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāļŠāļđāđˆāđ€āļŦāļĢāļĩāļĒāļāļ—āļ­āļ‡ Kaggle: āđ„āļĨāđˆāļ—āļĩāļĨāļ°āļ•āļąāļ§āđ€āļĨāļ‚āļ§āđˆāļēāđ€āļāļīāļ”āļ­āļ°āđ„āļĢāļ‚āļķāđ‰āļ™
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Meta AIRA āļˆāļēāļāļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāļŠāļđāđˆāđ€āļŦāļĢāļĩāļĒāļāļ—āļ­āļ‡ Kaggle: āđ„āļĨāđˆāļ—āļĩāļĨāļ°āļ•āļąāļ§āđ€āļĨāļ‚āļ§āđˆāļēāđ€āļāļīāļ”āļ­āļ°āđ„āļĢāļ‚āļķāđ‰āļ™

#ai #machinelearning #programming #productivity
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2 min read
AI Dojo āļ„āļ·āļ­āļ­āļ°āđ„āļĢ: āļ—āļģāđ„āļĄāļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāđ€āļ›āļĨāļĩāđˆāļĒāļ™ AI Agent āļˆāļēāļāļŠāļ­āļšāļœāđˆāļēāļ™āđ€āļ›āđ‡āļ™āđ€āļāđˆāļ‡āļˆāļĢāļīāļ‡
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AI Dojo āļ„āļ·āļ­āļ­āļ°āđ„āļĢ: āļ—āļģāđ„āļĄāļŠāļ™āļēāļĄāļ‹āđ‰āļ­āļĄāđ€āļ›āļĨāļĩāđˆāļĒāļ™ AI Agent āļˆāļēāļāļŠāļ­āļšāļœāđˆāļēāļ™āđ€āļ›āđ‡āļ™āđ€āļāđˆāļ‡āļˆāļĢāļīāļ‡

#ai #machinelearning #programming #productivity
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2 min read
Kimi Linear: How Moonshot AI Built a Hybrid Attention Architecture That Beats Full Attention
prabhakar_chaudhary_7afe4 profile

Kimi Linear: How Moonshot AI Built a Hybrid Attention Architecture That Beats Full Attention

#ai #machinelearning #deeplearning #llm
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5 min read
Building FraudGraph Agent: Autonomous Fraud Investigation & Policy-Compliant Next-Best Action with TigerGraph
kishore1035 profile

Building FraudGraph Agent: Autonomous Fraud Investigation & Policy-Compliant Next-Best Action with TigerGraph

#tigergraph #ai #python #machinelearning
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8 min read
How Uber Computes Estimated Time of Arrival (ETA)
ayeshaiftikhar profile

How Uber Computes Estimated Time of Arrival (ETA)

#algorithms #machinelearning #scalability #systemdesign
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3 min read
An Agent That Knows When It Doesn't Know - Fraud Investigation on TigerGraph
yash_gupta_4eb6e1b9159a4b profile

An Agent That Knows When It Doesn't Know - Fraud Investigation on TigerGraph

#agents #ai #database #machinelearning
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5 min read
Predicting SLA Breaches in Technical Support
purischaky profile

Predicting SLA Breaches in Technical Support

#machinelearning #mlops #datascience #python
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7 min read
The fraud model that was right about everything except fraud
syed_darainqamar_6d0f9d3 profile

The fraud model that was right about everything except fraud

#database #datascience #machinelearning #security
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6 min read
How AI Is Building a Digital Twin of the Earth
omar_alshafai profile

How AI Is Building a Digital Twin of the Earth

#ai #machinelearning #iot #spacetech
1
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10 min read
The Two-Pass Grading System: How Context Changes the Score
mayank_dewangan_08 profile

The Two-Pass Grading System: How Context Changes the Score

#ai #llm #machinelearning #productivity
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8 min read
How fast is Laya on a CPU? Reading the 4-core server benchmarks
yanng981 profile

How fast is Laya on a CPU? Reading the 4-core server benchmarks

#machinelearning #python #performance #ai
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4 min read
AIoT: Connecting AI to the Physical World
akasha_mughal_319b9b2206c profile

AIoT: Connecting AI to the Physical World

#ai #architecture #iot #machinelearning
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4 min read
The AMD Mini-Challenge 3: citation-by-necessity RAG on ROCm
eterniti profile

The AMD Mini-Challenge 3: citation-by-necessity RAG on ROCm

#amd #rocm #rag #machinelearning
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5 min read
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