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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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Exploring Multicollinearity: Strategies for Detecting and Managing Correlated Predictors in Regression Analysis

Exploring Multicollinearity: Strategies for Detecting and Managing Correlated Predictors in Regression Analysis

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3 min read
การแสดง Multiple Linear Regression เป็นกราฟ 3 มิติ โดยใช้ Python

การแสดง Multiple Linear Regression เป็นกราฟ 3 มิติ โดยใช้ Python

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2 min read
survey: Risk Prediction of Digital Transformation of Manufacturing Supply Chain Based on PCA and BPNN

survey: Risk Prediction of Digital Transformation of Manufacturing Supply Chain Based on PCA and BPNN

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1 min read
Unravelling Linearity: My Journey in Regression Modeling

Unravelling Linearity: My Journey in Regression Modeling

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3 min read
Migrating from AWS SageMaker to GCP Vertex AI: A Training Environment Transition

Migrating from AWS SageMaker to GCP Vertex AI: A Training Environment Transition

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4 min read
DanceTime is back!

DanceTime is back!

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6 min read
LLMs are secretly good at regression calculations

LLMs are secretly good at regression calculations

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9 min read
Lambda Function(Python)

Lambda Function(Python)

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1 min read
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

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4 min read
The Topos of Transformer Networks

The Topos of Transformer Networks

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4 min read
The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest

The Optimal Choice of Hypothesis Is the Weakest, Not the Shortest

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4 min read
Increased LLM Vulnerabilities from Fine-tuning and Quantization

Increased LLM Vulnerabilities from Fine-tuning and Quantization

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4 min read
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings

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4 min read
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

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4 min read
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications

From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications

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4 min read
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