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- A Few Useful Things to Know about Machine Learning [pdf] https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf 18 comments
- A Few Useful Things to Know about Machine Learning [pdf] http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf 3 comments
Linking pages
- No, Machine Learning is not just glorified Statistics | by Joe Davison | Towards Data Science https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3 62 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - justmarkham/DAT8: General Assembly's 2015 Data Science course in Washington, DC https://github.com/justmarkham/DAT8 14 comments
- notes/Machine Learning.md at master · brylevkirill/notes · GitHub https://github.com/brylevkirill/notes/blob/master/Machine%20Learning.md 8 comments
- Top Deep Learning Papers - MarkTechPost https://www.marktechpost.com/2018/04/26/top-22-deep-learning-papers-2018-edition/ 6 comments
- Introducing Textile — A machine learning platform for mobile apps. | by Andrew Hill | Textile | Medium https://medium.com/textileio/introducing-textile-88bc696caae4 1 comment
- 7 Important Data Science Papers - Ryan Swanstrom http://datascience101.wordpress.com/2013/08/26/7-important-data-science-papers/ 0 comments
- Research papers that changed the world of Big Data – Crayon Data http://bigdata-madesimple.com/research-papers-that-changed-the-world-of-big-data/ 0 comments
- Automated Feature Engineering in Python | by Will Koehrsen | Towards Data Science https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219 0 comments
- Link Prediction Recommendation Engines with Node2Vec | by Vatsal | Towards Data Science https://towardsdatascience.com/link-prediction-recommendation-engines-with-node2vec-c97c429351a8 0 comments
- Discover Feature Engineering, How to Engineer Features and How to Get Good at It - MachineLearningMastery.com http://machinelearningmastery.com/discover-feature-engineering-how-to-engineer-features-and-how-to-get-good-at-it/ 0 comments
- 12 Key Lessons from ML researchers and practitioners – Towards Machine Learning https://towardsml.com/2019/04/09/12-key-lessons-from-ml-researchers-and-practitioners/ 0 comments
- GitHub - ianozsvald/data_science_delivered: Observations from Ian on successfully delivering data science products https://github.com/ianozsvald/data_science_delivered 0 comments
- No, Machine Learning is not just glorified Statistics | by Joe Davison | Towards Data Science https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3?gi=20bbb3cdfb14 0 comments
- Everything You Wanted to Know About Machine Learning, But Were Too Afraid To Ask (Part Two) – The Official Blog of BigML.com http://blog.bigml.com/2013/02/21/everything-you-wanted-to-know-about-machine-learning-but-were-too-afraid-to-ask-part-two/ 0 comments
- Machine Learning for Product Managers | by Neal Lathia | Medium https://medium.com/@neal_lathia/machine-learning-for-product-managers-ba9cf8724e57#.c4zp883dy 0 comments
- Why Automated Feature Engineering Will Change the Way You Do Machine Learning | by Will Koehrsen | Towards Data Science https://towardsdatascience.com/why-automated-feature-engineering-will-change-the-way-you-do-machine-learning-5c15bf188b96 0 comments
- A Few Useful Things to Know about Machine Learning.md · GitHub https://gist.github.com/shagunsodhani/5c2cdfc269bf8aa50b72 0 comments
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