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Random Forest vs. Neural Network
Choosing between Random Forest and Neural Network depends on the data type. Random Forest suits tabular data, while Neural Network excels with images, audio, and text data.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 4,225 posts.
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One of these JPEGs is not like the other
“JPEG” or the image encoding specification by the “Joint Photographic Experts Group” (JPEG) is a truly universal format at this stage. You really cannot go very far on the internet without seeing a JPEG file. The amount of content encoded in JPEGs must be surely biblical by now. If there is one thing that is going to…
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Bay Area Regional GTFS Feed: 31 transit agency feeds together in one API
Last year, Interline began a "startup in residence" at the Metropolitan Transportation Commission. Now we're pleased to publicly release our first creation: the San Francisco Bay Area's Regional GTFS Feed.
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FreeBSD and ZFS
ZFS has been making headlines lately, so it seems like the right time to talk about the longstanding relationship between FreeBSD and ZFS. ...
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A better way to build ML: Why you should be using Active Learning
Data labeling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labeled data. The best AI-driven companies, like Tesla, use active learning.
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ArangoDB 3.0 Release – A Solid Ground to Scale
The only enterprise AI data platform that cuts complexity, reduces costs, and gets you to production faster.
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Downloading All of Hacker News Posts and Comments
Shital Shah's personal website and blog. Research Engineer at Microsoft Research with interests in deep learning and reinforcement learning. Created AirSim, TensorWatch, archai, most recently worked on training Phi series of LLM models.
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Kaggle and the Wikimedia Foundation are partnering on open data
Kaggle is hosting Wikimedia Enterprise's beta release of structured data in both French and English. Kaggle is home to a vast trove of open and accessible data, with mor…
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It’s fine, Rewind: Revert a migration without losing data
Learn how PlanetScale lets you revert changes to your database after a migration with no downtime and zero data loss.
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Local and distributed query processing in CockroachDB
This blog post outlines how CockroachDB executes queries and shares Cockroach Labs' vision for future work on distributed processing.
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Things Developers Should Know About SQL Server (2013)
Hi. I’m a former developer who’s moved into database administration, and here’s what I wish somebody would have told me when I got started. 7. SQL functions rarely perform well. Good developers like to reuse code by putting it into functions, and then calling those functions from multiple places. That’s a great…
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Debugging random slow writes in PostgreSQL
Understanding & mitigating randomly slow writes in PostgreSQL
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Read “Data and Reality”
Once more: we are not modeling reality, but the way information about reality is processed, by people. — Bill Kent I've got this working theory that you can...
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Scaling request logging with ClickHouse, Kafka, and Vector
How we solved request logging at scale by moving from MariaDB to ClickHouse, Kafka, and Vector after our deprecated database engine couldn't keep up with billions of monthly requests.
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Non-blocking transactional atomicity
tl;dr: You can perform non-blocking multi-object atomic reads and writes across arbitrary data partitions via some simple multi-versioning and by storing metadata regarding related items.
2899
Building a semantic search engine in Rust
If you're interested in building a semantic search engine in Rust, this article will show you how! We'll cover building a basic engine using sentence transformers and a kd-tree.
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Etcd – The Road to 1.0
No single cloud fits all. Explore how we build a more flexible future with hybrid cloud.
2901
Apache Spark: The Next Big Data Thing?
Apache Spark is generating quite some buzz right now. Databricks, the company founded to support Spark raised $14M from Andreessen Horowitz, Cloudera has decided to fully support Spark, and others chime in that it's the next big thing. So I thought it's high time I took a look to get an understanding what the whole…
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Sharding data models
At Citus we make it simple to shard PostgreSQL. So we’ve thought a lot about different data models for sharding. This post covers 5 different data models for sharding, from sharding by tenant (multi-tenant data models), sharding by geography, sharding by entity id, sharding a graph, and time-based partitioning.
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ZSON, PostgreSQL extension for compressing JSONB
Hello. I've just uploaded ZSON extension on GitHub: https://github.com/afiskon/zson ZSON learns on your common JSONB documents and creates a dictionary …
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1.1B taxi rides benchmark on the GPU- and PostgreSQL-powered BrytlytDB
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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Let's consign CAP to the cabinet of curiosities
Brewer’s CAP theorem, and Gilbert and Lynch’s formalization of it , is the first introduction to hard trade-offs for many distributed systems engineers. Going by the vast amounts of ink and bile spent on the topic, it is not unreasonable for new folks to conclude that it’s an important, foundational, idea.
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SQLite Is Dynamically Typed (2020)
A small, cool fact about SQLite is that its columns are flexibly typed. You can store any value in any column! Try it out: sqlite> create table t1 (v1 int, v2 varchar(10)); sqlite> insert into t1 values ("abc", "this string is longer than 10 characters!"); sqlite> select * from t1; abc|this string is longer than 10…
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MongoDB’s new query engine
SBE Article logo Discussion on HackerNews and Lobsters. MongoDB has recently released a new query engine coming in version 7.0. I was one of the people work...
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A Simple Guide to Five Normal Forms in Relational Database Theory
William Kent, "A Simple Guide to Five Normal Forms in Relational Database Theory", Communications of the ACM 26(2), Feb. 1983, 120-125. Also IBM Technical Report TR03.159, Aug. 1981. Also presented at SHARE 62, March 1984, Anaheim, California. Also in A.R. Hurson, L.L. Miller and S.H. Pakzad, Parallel Architectures…
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The best Postgres feature you're not using – CTEs aka WITH clauses
SQL by default isn’t typically friendly to dive into, and especially so if you’re reading someone else’s already created queries. For some reason most people throw out principles we follow in other languages such as commenting and composability just for SQL. I was recently reminded of a key feature in Postgres that…