Hacker News
- Crowdsourced Data mining, forecasting and bioinformatics via competitions http://www.kaggle.com/ 16 comments
- Kaggle - Improving data analysis algorithms by running Netflix-style contests http://www.kaggle.com/ 4 comments
- Kaggle: Data mining competitions http://kaggle.com/ 2 comments
- What habbits should I go with https://www.kaggle.com/ 6 comments learnpython
- [Request] Sales data: category, city, time of purchase https://www.kaggle.com/ 2 comments datasets
- I'm done with learning the theory behind ML. I would like to work on a project. https://www.kaggle.com/ 7 comments learnmachinelearning
- Does anyone on /r/statistics have any interest in teaming up for some Kaggle competitions? http://www.kaggle.com/ 7 comments statistics
Linking pages
- GitHub - sdmg15/Best-websites-a-programmer-should-visit: :link: Some useful websites for programmers. https://github.com/sdmg15/Best-websites-a-programmer-should-visit 331 comments
- The University Is Like a CD in the Streaming Age - The Atlantic https://www.theatlantic.com/ideas/archive/2020/06/university-like-cd-streaming-age/613291/ 282 comments
- Google is acquiring data science community Kaggle • TechCrunch https://techcrunch.com/2017/03/07/google-is-acquiring-data-science-community-kaggle/ 195 comments
- GitHub - remoteintech/remote-jobs: A list of semi to fully remote-friendly companies (jobs) in tech. https://github.com/remoteintech/remote-jobs 158 comments
- Talent shortage in AI is a myth: reply to Cedric Villani | by Mostapha Benhenda | The AI Lab | Medium https://medium.com/the-ai-lab/talent-shortage-in-ai-is-a-myth-reply-to-cedric-villani-c592047a9a1b 124 comments
- Cloud AutoML: Making AI accessible to every business https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/ 93 comments
- My path to OpenAI https://blog.gregbrockman.com/my-path-to-openai 79 comments
- Blockchains for Artificial Intelligence | by Trent McConaghy | Ocean Protocol https://blog.bigchaindb.com/blockchains-for-artificial-intelligence-ec63b0284984 60 comments
- Big Data & the Risky Eclipse of Statisticians http://blog.hackerrank.com/the-risky-eclipse-of-statisticians/ 59 comments
- GitHub - antirez/neural-redis: Neural networks module for Redis https://github.com/antirez/neural-redis 58 comments
- GitHub - dgwozdz/HN_SO_analysis: Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality https://github.com/dgwozdz/HN_SO_analysis 58 comments
- Notes from porting C# code to PHP http://www.moserware.com/2010/10/notes-from-porting-c-code-to-php.html 53 comments
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning 46 comments
- An Introduction to Scientific Python – Pandas http://www.datadependence.com/2016/05/scientific-python-pandas/ 42 comments
- How To Learn Data Science - My path | by Senthil E | Towards Data Science https://towardsdatascience.com/how-to-learn-data-science-my-path-ba7b9aa94f63?sk=47d16e88a2bcb0635ab14792b0092fb6&source=friends_link 41 comments
- GitHub - kjaisingh/high-school-guide-to-machine-learning: Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one. https://github.com/kjaisingh/high-school-guide-to-machine-learning 38 comments
- Vesuvius Challenge https://scrollprize.org/ 36 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/caesar0301/awesome-public-datasets 34 comments
- GitHub - donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://github.com/donnemartin/data-science-ipython-notebooks 34 comments
- Data scientists mostly just do arithmetic and that’s a good thing - Signal v. Noise https://m.signalvnoise.com/data-scientists-mostly-just-do-arithmetic-and-that-s-a-good-thing-c6371885f7f6#.8ce39lkp9 32 comments
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