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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs

KDnuggets

By Jayita Gulati on July 16, 2025 in Machine Learning Image by Editor In data science and machine learning, raw data is rarely suitable for direct consumption by algorithms. Feature engineering can impact model performance, sometimes even more than the choice of algorithm itself.

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An Intuitive Guide to Back Propagation Algorithm with Example

ProjectPro

If you are dealing with deep neural networks, you will surely stumble across a very known and widely used algorithm called Back Propagation Algorithm. This blog will give you a complete overview of the Back propagation algorithm from scratch. Table of Contents What is the Back Propagation Algorithm in Neural Networks ?

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Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines

Pinterest Engineering

This blog details how we expanded Ray’s role beyond training to feature development, sampling, and label modeling — ultimately making ML iteration at Pinterest faster, more efficient, and more scalable. Feature Development Bottlenecks Adding new features or testing algorithmic variations required days-long backfill jobs.

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Building Holiday Finds: How Pinterest Engineers Reimagined Gift Discovery

Pinterest Engineering

Personalization Stack Building a Gift-Optimized Recommendation System The success of Holiday Finds hinges on our ability to surface the right gift ideas at the right time. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

It involves building pipelines that can fetch data from the source, transform it into a usable form, and analyze variables present in the data. Build an Awesome Job Winning Data Engineering Projects Portfoli o Data Engineer: Job Growth in Future The demand for data engineers has been on a sharp rise since 2016.

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How to Build a Knowledge Graph for RAG Applications?

ProjectPro

In this blog post, we’ll first highlight the basics and advantages of Knowledge Graphs, discussing how they make AI and natural language processing applications more intelligent, contextual, and reliable. Then, we’ll begin a hands-on journey to build a Knowledge Graph.