Hacker News
- The Unreasonable Effectiveness of Data (2009) [pdf] https://static.googleusercontent.com/media/research.google.com/en/pubs/archive/35179.pdf 2 comments
Linking pages
- The Unreasonable Effectiveness of SQL - The Couchbase Blog https://blog.couchbase.com/unreasonable-effectiveness-of-sql/ 95 comments
- Blockchains for Artificial Intelligence | by Trent McConaghy | Ocean Protocol https://blog.bigchaindb.com/blockchains-for-artificial-intelligence-ec63b0284984 60 comments
- What happened to Hadoop, the next big thing in enterprise IT | ARCHITECHT https://architecht.io/what-happened-to-hadoop-211aa52a297?gi=a9e61cd6ede3 45 comments
- Privacy ... LOL - Tablet Magazine https://www.tabletmag.com/scroll/277551/privacy-lol 25 comments
- BigchainDB: Where it Came From, Where We’re At, Where We’re Headed | by Trent McConaghy | The BigchainDB Blog https://medium.com/the-bigchaindb-blog/bigchaindb-where-it-came-from-where-were-at-where-we-re-headed-5004a319e35f#.vmfjmov8n 9 comments
- Big Data, Small Machine - Adam Drake https://adamdrake.com/big-data-small-machine.html 4 comments
- What happened to Hadoop, the next big thing in enterprise IT | ARCHITECHT https://architecht.io/what-happened-to-hadoop-211aa52a297 4 comments
- New Technology, Old Problems: The Missing Voices in Natural Language Processing https://thegradient.pub/nlp-new-old/ 3 comments
- What happened to Hadoop, the next big thing in enterprise IT | ARCHITECHT https://architecht.io/what-happened-to-hadoop-211aa52a297?gi=c7d189db621b 3 comments
- Deep learning scaling is predictable, empirically | the morning paper https://blog.acolyer.org/2018/03/28/deep-learning-scaling-is-predictable-empirically/ 2 comments
- GitHub - naveenarun/awesome-unreasonable-effectiveness: A list of papers, blog posts, etc. talking about the unreasonable effectiveness of X in Y https://github.com/naveenarun/awesome-unreasonable-effectiveness 1 comment
- If you don’t pay attention, data can drive you off a cliff | Yanir Seroussi | Data science and beyond https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/ 0 comments
- Improving the Random Forest in Python Part 1 | by Will Koehrsen | Towards Data Science https://towardsdatascience.com/improving-random-forest-in-python-part-1-893916666cd 0 comments
- Superhistory, Not Superintelligence - by Venkatesh Rao https://breakingsmart.substack.com/p/superhistory-not-superintelligence 0 comments
- Shh…The Secret to Building Great AI | by Tyler Folkman | Towards Data Science https://towardsdatascience.com/shh-the-secret-to-building-great-ai-c9dc04e94cdd 0 comments
- It All Boils Down to Training Data | by Labelbox | Heartbeat https://heartbeat.fritz.ai/it-all-boils-down-to-training-data-c7e3c2df1e6b 0 comments
- Ground Truth Gold — Intelligent data labeling and annotation | by The Hive | The Hive | Medium https://medium.com/hivedata/ground-truth-gold-intelligent-data-labeling-and-annotation-632f63d9662f 0 comments
- The third magic - by Noah Smith - Noahpinion https://noahpinion.substack.com/p/the-third-magic 0 comments
- 9 Ways to Use a Data Engine to Improve Your ML Model | Nyckel https://www.nyckel.com/blog/9-ways-to-use-a-data-engine-to-improve-your-ml-model/ 0 comments
- How Much Data Do You Need? – Win Vector LLC https://win-vector.com/2023/03/18/how-much-data-do-you-need/ 0 comments
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