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- The Google Brain Team — Looking Back on 2017 (Part 1 of 2) – Google AI Blog https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html 6 comments
- 10 steps to bootstrap your machine learning project (part 1) | by Thomas Olivier | metaflow-ai https://blog.metaflow.fr/10-steps-to-bootstrap-your-machine-learning-project-part-1-aa7e1031f5b1#.9zkz02k9r 5 comments
- Nitpicking Machine Learning Technical Debt - matthewmcateer.me https://matthewmcateer.me/blog/machine-learning-technical-debt/ 3 comments
- Clustering long documents with Transformers in 10 minutes https://www.notia.ai/articles/clustering-long-documents 2 comments
- Lettuce Evaluate Some Recipe Word Embeddings | by Meghan Heintz | BuzzFeed Tech https://tech.buzzfeed.com/lettuce-evaluate-some-recipe-word-embeddings-64f76e61ac0c 1 comment
- GitHub - nchah/word2vec4everything: Python CLI to apply word2vec to all sorts of text documents. https://github.com/nchah/word2vec4everything 0 comments
- Pretrained Character Embeddings for Deep Learning and Automatic Text Generation | Max Woolf's Blog http://minimaxir.com/2017/04/char-embeddings/ 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- You Should Try Active Learning!. It’s not just about labeling *more*… | by Peter Gao | Aquarium Learning | Medium https://medium.com/aquarium-learning/you-should-try-active-learning-37a86aab1afb 0 comments
- Democracy: Rule of the dimensionally reduced people | by Patrick Bos | Netherlands eScience Center https://blog.esciencecenter.nl/democracy-59ae33367f22 0 comments
- Interactive demonstrations for ML courses https://arogozhnikov.github.io/2016/04/28/demonstrations-for-ml-courses.html 0 comments
- The Google Brain Team — Looking Back on 2017 (Part 1 of 2) – Google AI Blog https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html?m=1 0 comments
- Applied Deep Learning - Part 3: Autoencoders | by Arden Dertat | Towards Data Science https://medium.com/towards-data-science/applied-deep-learning-part-3-autoencoders-1c083af4d798 0 comments
- Machine Learning for Visualization | by Ian Johnson | Medium https://medium.com/@enjalot/machine-learning-for-visualization-927a9dff1cab?mkt_tok=eyJpIjoiTXpReU1UWXhNbUkwWkdObCIsInQiOiJMVWRTNEE0TkdGUnltcGxZb2NMamFPRm9kczFvXC94dHFJY3Mrb0dSWmdraG1icWppdUgwNUZwd3ZcL2x2OFV1UWJyMWgrOFNxVWE0cCtrQWVYVW91MjBhbFByUEZ1TVJ4MWdrSFdVTGY1SjRvb2x0T1lBRFJaM2RmaDNkXC9IUUdCWiJ9 0 comments
- Mis-employing radar charts to distinguish multidimensional data | by Mali Akmanalp | Towards Data Science https://medium.com/@makmanalp/plotting-in-many-dimensions-382fbd7fe76e 0 comments
- Reducing Dimensionality from Dimensionality Reduction Techniques | by Elior Cohen | Towards Data Science https://medium.com/towards-data-science/reducing-dimensionality-from-dimensionality-reduction-techniques-f658aec24dfe 0 comments
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