Data Science Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/224-blog-posts-to-learn-about-web-scraping. Learn everything you need to know about Web Scraping via these 224 free HackerNoon blog posts. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #web-scraping, #learn, #learn-web-scraping, and more. This story was written by: @learn. Learn more about this writer by checking @learn's about page, and for more stories, please visit hackernoon.com.

This story was originally published on HackerNoon at: https://hackernoon.com/mastering-databricks-a-developers-guide-to-lakehouse-architecture-and-pyspark-pipelines. A complete developer guide to Databricks and Lakehouse architecture. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #databricks, #data-engineering, #apache-spark, #pyspark, #machine-learning, #architecture, #lakehouse-architecture, #pyspark-pipelines, and more. This story was written by: @jagan_489. Learn more about this writer by checking @jagan_489's about page, and for more stories, please visit hackernoon.com. Whether you're building real-time streaming pipelines or deploying production generative AI applications, this guide breaks down the core architecture, implementation patterns, and code needed to master Databricks.

This story was originally published on HackerNoon at: https://hackernoon.com/189-seasons-a-baseball-experiment-about-hiring-and-human-judgment. A 69-season baseball pilot tests when an individual’s own record becomes more predictive than their reference class, with careful caveats for hiring. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #predictive-modeling, #sports-analytics, #referential-evaluation, #lahman-baseball-database, #reference-class-prediction, #empirical-bayes, #irep, #resume-screening, and more. This story was written by: @elodieaishwarya. Learn more about this writer by checking @elodieaishwarya's about page, and for more stories, please visit hackernoon.com. The article uses public baseball data to test when an individual’s prior record beats reference-class prediction. It argues that hiring may need a similar shift away from static résumé categories, while clearly stating that the baseball number does not directly transfer to hiring.

This story was originally published on HackerNoon at: https://hackernoon.com/knowledge-graphs-what-they-are-where-they-live-and-how-to-build-one. A beginner-friendly guide to knowledge graphs covering triples, nodes, edges, graph databases, real-world uses, and Python examples. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #knowledge-graphs, #knowledge-graph, #graph-databases, #python-knowledge-graph, #networkx-tutorial, #knowledge-graph-python, #rdf-triplestore, #graph-data-modeling, and more. This story was written by: @subhash1986. Learn more about this writer by checking @subhash1986's about page, and for more stories, please visit hackernoon.com. A beginner-friendly guide to knowledge graphs covering triples, nodes, edges, graph databases, real-world uses, and Python examples.

This story was originally published on HackerNoon at: https://hackernoon.com/i-built-an-ai-job-tracker-while-job-hunting-the-ai-was-the-easy-part. A backend engineer's honest build story: aggregating 11 UK job-board APIs into one schema, with AI scoring and cover letters on top. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #python-programming, #fastapi, #artificial-intelligence, #job-search, #full-stack-development, #ai-job-tracker, #apis, #side-project, and more. This story was written by: @bogdus1k. Learn more about this writer by checking @bogdus1k's about page, and for more stories, please visit hackernoon.com. I built SearchWork - a tool that searches 11 job boards at once, scores each role against my CV, and generates cover letters. The AI was the easy part; normalising 11 messy job APIs into one schema was the real work.