Big Data Fundamentals: data warehouse example
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🏛️Lakehouse Architecture
ML/AI Pipelines: The "So What" of Crypto Data Ecosystems
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📊Columnar Engines
Machine Learning Fundamentals: data preprocessing tutorial
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🔄Feed Aggregation
The Class Imbalance Problem: How I Achieved 89% Accuracy on Customer Churn Prediction
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⏱️Real-time Analytics
Machine Learning Fundamentals: data preprocessing project
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🔄Feed Aggregation
What I'm working on – at work and on the side – aswin's blog
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📊Columnar Engines
Can Your LLM Handle an Invoice? I Tested 5—Here’s the Truth
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📊Columnar Engines
Show HN: I built an MCP tool to query anything with SQL (Apache Calcite)
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🧮Apache Calcite
7 Power Tools to Build AI Apps Like a Pro
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⚙️Query Compilers
Grok 4's coding powers, TypeScript 5.9 Beta, the BEST Postgres provider, Vercel acquires NuxtLabs, and more
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📊Columnar Engines
Machine Learning Fundamentals: data preprocessing example
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📊Data Lineage
Mill: A Better Build Tool for Java, Scala, & Kotlin
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Python: From Zero to Hero
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🐍python
Scalability
theremoteengineer.substack.com·11h·
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👁️Observability
From the Tensor to the Transformer: Building the AI stack from first principles
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📊Columnar Engines
Things Not to Learn as an AI Engineer – By Paul Iusztin
decodingml.substack.com·4h·
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🔍AI Detection
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·22h·
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📊Columnar Engines
Show HN: Dyan – A Self-Hosted Visual REST API Builder (React and NestJS)
github.com·9h·
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📋Tokei
Kafka Fundamentals: kafka source connector
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🌊Stream Processing
Deploying FastAPI to AWS: Part 3 - Going Serverless with Lambda
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🌊Stream Processing