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Data Analysis Articles — Page 7

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Understanding Random Forest Regression with Python
AI/ML5 min read

Understanding Random Forest Regression with Python

Introduction to Random Forest Regression Random Forest is a powerful ensemble learning technique that enhances prediction accuracy by integrating multiple decision trees. It is...

11 August 2026Read
Optimizing Ornith 9B Model on a Single GPU: Costs, Latency, and Performance
AI/ML4 min read

Optimizing Ornith 9B Model on a Single GPU: Costs, Latency, and Performance

We conducted a fine tuning experiment on [Ornith 1.0 9B], an open source 9 billion parameter model designed for coding tasks, using a 61,000 example dataset focused on reasoning...

11 August 2026Read
Top Engineering Intelligence Platforms to Watch in 2026
DevOps7 min read

Top Engineering Intelligence Platforms to Watch in 2026

Metrics such as cycle time, deployment frequency, pull request volume, and incident rates are commonly available but often fail to reveal how engineering performance changes ove...

10 August 2026Read
Optimizing SVM Performance with GridSearchCV
AI/ML3 min read

Optimizing SVM Performance with GridSearchCV

Support Vector Machines (SVM) are commonly utilized for classification tasks, but obtaining optimal performance requires selecting the right hyperparameters, such as C and gamma...

10 August 2026Read
Scaling Techniques in Feature Engineering: Normalization and Standardization
AI/ML5 min read

Scaling Techniques in Feature Engineering: Normalization and Standardization

Feature engineering is a critical step in machine learning that involves creating, transforming, or selecting key features from raw data to enhance model performance. By identif...

10 August 2026Read
10 Essential Productivity Metrics for Managers to Monitor
Project Management5 min read

10 Essential Productivity Metrics for Managers to Monitor

In today's hybrid work environment, where deadlines are tighter and expectations higher, productivity is a crucial topic at the executive level. The focus has shifted from merel...

10 August 2026Read
Clustering Categorical Data with K-Modes in Python
AI/ML3 min read

Clustering Categorical Data with K-Modes in Python

K mode clustering is an unsupervised machine learning technique designed to group categorical data into distinct clusters. Unlike K means, which measures similarity using numeri...

10 August 2026Read
Establishing Robust Data Foundations for Scalable AI in Enterprises
AI/ML4 min read

Establishing Robust Data Foundations for Scalable AI in Enterprises

Building a solid data foundation is crucial for transforming your catalog into a conversation that drives revenue, enabling faster deployment of accessible user interfaces tailo...

9 August 2026Read
Understanding Precision and Recall in Machine Learning
AI/ML3 min read

Understanding Precision and Recall in Machine Learning

Precision and recall are crucial metrics used to evaluate the effectiveness of machine learning models, especially in classification tasks. Precision measures the accuracy of a...

9 August 2026Read
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