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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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Text Mining in R and Python: From Origins to Real-World Impact
yenosh_v_838c53a362d23a05 profile

Text Mining in R and Python: From Origins to Real-World Impact

#datascience #machinelearning #python
1
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5 min read
Why Your LLM Needs Runtime Guardrails: The Developer's Guide to California's 2026 AI Laws
alessandro_pignati profile

Why Your LLM Needs Runtime Guardrails: The Developer's Guide to California's 2026 AI Laws

#ai #cybersecurity #machinelearning #agents
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4 min read
RLM: The Ultimate Evolution of AI? Recursive Language Models
gaodalie_ai profile

RLM: The Ultimate Evolution of AI? Recursive Language Models

#datascience #machinelearning #ai #programming
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6 min read
Por Qué el 87% de Sistemas MLOps Fallan el Checklist de Seguridad 2025
abdessamad_ammi_202ac2bad profile

Por Qué el 87% de Sistemas MLOps Fallan el Checklist de Seguridad 2025

#mlop #security #machinelearning #devsecops
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6 min read
I Taught a 4B Parameter LLM to Play Wordle on a Mac M4 (Using GRPO)
charbull profile

I Taught a 4B Parameter LLM to Play Wordle on a Mac M4 (Using GRPO)

#deepseek #python #machinelearning #applesilicon
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6 min read
Building a "Remembering" AI Trading Agent with Python, LangGraph, and Obsidian
jiwoomap profile

Building a "Remembering" AI Trading Agent with Python, LangGraph, and Obsidian

#opensource #python #machinelearning #ai
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2 min read
Generative vs Discriminative Models: The Artist Who Paints vs The Critic Who Points
sachin_krrajput profile

Generative vs Discriminative Models: The Artist Who Paints vs The Critic Who Points

#machinelearning #ai #beginners #datascience
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9 min read
Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking
sachin_krrajput profile

Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking

#machinelearning #ai #beginners #datascience
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10 min read
Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite
sachin_krrajput profile

Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite

#machinelearning #ai #beginners #datascience
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11 min read
Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain
sachin_krrajput profile

Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

#machinelearning #ai #beginners #datascience
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10 min read
Do LLMs Know They Are Hallucinating? Meet Gnosis, the 5M Parameter Observer
claudiuspapirus profile

Do LLMs Know They Are Hallucinating? Meet Gnosis, the 5M Parameter Observer

#ai #machinelearning #research #llm
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2 min read
Loss Functions: The Brutally Honest Friend Your Model Desperately Needs
sachin_krrajput profile

Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

#machinelearning #ai #beginners #datascience
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9 min read
Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver
sachin_krrajput profile

Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

#machinelearning #ai #beginners #datascience
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9 min read
The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"
sachin_krrajput profile

The Three Musketeers of Machine Learning: A Journey from "What's ML?" to "I Get It!"

#machinelearning #ai #beginners #tutorial
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9 min read
Difficulty Debugging Black-Box Model Decisions (Salesforce Einstein / AI)
selavina_b_de3b87f13c96a6 profile

Difficulty Debugging Black-Box Model Decisions (Salesforce Einstein / AI)

#ai #machinelearning #tooling
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3 min read
Understanding Backpropagation with Python Examples — Part 3
rijultp profile

Understanding Backpropagation with Python Examples — Part 3

#machinelearning #ai
16
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2 min read
Workshop: The AI Tool That Refuses to Forget
dady_fredy profile

Workshop: The AI Tool That Refuses to Forget

#machinelearning #productivity #ai
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7 min read
The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It
sachin_krrajput profile

The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It

#machinelearning #ai #beginners #datascience
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9 min read
L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model
sachin_krrajput profile

L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model

#machinelearning #ai #beginners #datascience
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10 min read
Learning Rate: The One Number That Can Make or Break Your Entire Model
sachin_krrajput profile

Learning Rate: The One Number That Can Make or Break Your Entire Model

#machinelearning #ai #beginners #datascience
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10 min read
Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded
sachin_krrajput profile

Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

#machinelearning #ai #beginners #datascience
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10 min read
Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers
sachin_krrajput profile

Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

#machinelearning #ai #beginners #datascience
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9 min read
AI for Log Anomaly Detection Why It Matters, How It Works, and What Modern Organizations Need to Know
alexendrascott01 profile

AI for Log Anomaly Detection Why It Matters, How It Works, and What Modern Organizations Need to Know

#ai #machinelearning #monitoring
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7 min read
Second-Half Routing: From Traffic Control to Collective Intelligence
narnaiezzsshaa profile

Second-Half Routing: From Traffic Control to Collective Intelligence

#ai #typescript #architecture #machinelearning
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5 min read
Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam
sachin_krrajput profile

Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

#machinelearning #ai #beginners #datascience
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10 min read
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