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| 1. | | When not to use Deep Learning (medium.com/towards-data-science) | | 3 points by rouseguy on Aug 1, 2017 | past | |
| 2. | | Elegant solutions using language's in-built features- case study in text parsing (shrayas.com) | | 1 point by rouseguy on July 17, 2017 | past | |
| 3. | | How do you learn data science? – a thoughtful approach (amitkaps.com) | | 6 points by rouseguy on July 10, 2017 | past | |
| 4. | | Generating Music Using Deep Learning – PyCon US 2017 [video] (youtube.com) | | 2 points by rouseguy on May 22, 2017 | past | |
| 5. | | How to Get Started in Data Science (Philosophical/Process) (speakerdeck.com) | | 1 point by rouseguy on March 3, 2017 | past | |
| 6. | | Introduction to Deep Learning for NLP(PyData London 2016 Video) (youtube.com) | | 3 points by rouseguy on May 10, 2016 | past | |
| 7. | | Visualizing Big Data using R (slideshare.net) | | 5 points by rouseguy on March 27, 2016 | past | |
| 8. | | Learn Statistics using price of weed – PyCon India 2015 workshop (github.com/rouseguy) | | 4 points by rouseguy on Oct 2, 2015 | past | |
| 9. | | Learn Data Analysis by analyzing weed prices (Python) (github.com/amitkaps) | | 4 points by rouseguy on Sept 13, 2015 | past | |
| 10. | | Ask HN: Python vs Julia vs R: Speed/accuracy of ML Algorithms | | 2 points by rouseguy on July 20, 2015 | past | |
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