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Data Analysis Articles — Page 11

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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
Understanding the Variability in Serverless Inference Consistency for Identical Models
AI/ML6 min read

Understanding the Variability in Serverless Inference Consistency for Identical Models

Introduction When choosing a large language model (LLM) for your application, you might conduct thorough research and testing to find the best fit. For instance, experimenting w...

9 August 2026Read
Implementing Decision Tree Regression in Python with Sklearn
AI/ML4 min read

Implementing Decision Tree Regression in Python with Sklearn

A decision tree regressor is a machine learning model used for predicting continuous outcomes, such as prices or scores, through a structure that mimics a tree. By segmenting da...

9 August 2026Read
Enhancing the Effectiveness of Your RAG System
AI/ML5 min read

Enhancing the Effectiveness of Your RAG System

Introduction Retrieval Augmented Generation (RAG) is a popular method for enhancing AI responses by integrating large language models with external data sources like documents a...

9 August 2026Read
Understanding Key Metrics for Serverless LLM Inference
AI/ML8 min read

Understanding Key Metrics for Serverless LLM Inference

Introduction When assessing serverless large language model (LLM) inference models and their providers, the focus often narrows down to one metric: median tokens per second. Whi...

9 August 2026Read
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Blog - Data Analysis - Page 11 — Xfinit Software