Fri.Jul 04, 2025

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Serve Machine Learning Models via REST APIs in Under 10 Minutes

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Serve Machine Learning Models via REST APIs in Under 10 Minutes Stop leaving your models on your laptop.

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Your Guide to Specialized AI Models with Real World Projects

ProjectPro

This blog explores what specialized AI models are and their different types, why they are gaining traction, and how AI engineers can start building them today. Over the past few years, general-purpose AI models like GPT-4, Gemini, and Claude have gained widespread attention. The broad usage capabilities of these Large Language Models (LLMs) have made them popular across industries, education, and individual use cases.

Project 52
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A Gentle Introduction to Principal Component Analysis (PCA) in Python

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter A Gentle Introduction to Principal Component Analysis (PCA) in Python The most popular method for feature reduction and data compression, gently explained via implementation with Scikit-learn in Python.

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Data Infrastructure Modernization: How to Do it the Right Way

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Your data infrastructure is probably holding your business back right now. Legacy systems create bottlenecks, drain budgets, and leave teams frustrated with slow, manual processes that can’t keep up with today’s fast-paced demands. But what if: That’s the promise of data infrastructure modernization.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Crack the AWS Certified AI Practitioner Exam in 6 Weeks!

ProjectPro

A practical guide to help you prepare for the AWS Certified AI Practitioner Exam in 6 weeks with expert tips and resources. Artificial intelligence (AI) is changing the world of work at a breathtaking pace. From Generative AI tools transforming creative industries to machine learning driving business decisions, it’s no surprise that 73% of employers now rank hiring AI-skilled talent as a priority, according to an AWS study.

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A Guide to ETL Automation in 2025

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Does your ETL automation handle schema changes in real-time? If not, this blog is for you. Manual ETL pipelines are error-prone and time-consuming, making them difficult to scale. In 2025, the automation of ETL (Extract, Transform, and Load) processes is crucial for businesses to streamline data workflows, improve data integrity, and minimize processing times.

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How to Build Scalable Data Architectures for High-Volume Systems

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Most businesses can hardly handle the growth they face today. We aren’t the ones saying it. According to Gartner, nearly 85% of big data projects don’t succeed, mainly because of weak planning, disconnected systems, and unstable architecture.

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Top ETL Use Cases: Industry-Specific for BI & Analytics

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If you’ve ever waited forever for a report, stared at a broken dashboard, or stitched together five messy Excel sheets to answer one simple question, you’re not alone. It’s frustrating when all the data is technically there, but nothing feels connected or easy to use.

BI 40
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ETL vs iPaaS: Which one to choose? 

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According to Productiv’s data, the average company uses 254 applications. That’s a lot of tools, and integrating them or their data is important to automate workflows, streamline reporting, or perform BI analysis. There are two ways to do that: ETL and iPaaS.  ETL combines data from various sources into a single location.

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