| 1. | | Book: Mastering Machine Learning with R (datasciencecentral.com) |
| 1 point by vincentg64 on June 22, 2016 | past |
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| 2. | | Video: Quadcopter Navigation in the Forest Using Deep Neural Networks (datasciencecentral.com) |
| 1 point by vincentg64 on June 22, 2016 | past |
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| 3. | | Book: Introducing Data Science: Big Data, Machine Learning with Python (datasciencecentral.com) |
| 2 points by vincentg64 on June 18, 2016 | past |
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| 4. | | A Complete Tutorial to Learn Data Science with Python from Scratch (datasciencecentral.com) |
| 1 point by vincentg64 on June 17, 2016 | past |
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| 5. | | Top IPython Tutorials for Data Science and Machine Learning (datasciencecentral.com) |
| 6 points by vincentg64 on June 16, 2016 | past |
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| 6. | | A plethora of data science related books (datasciencecentral.com) |
| 2 points by vincentg64 on June 13, 2016 | past |
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| 7. | | Comprehensive List of Data Science Graduate Programs (datasciencecentral.com) |
| 2 points by vincentg64 on June 12, 2016 | past |
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| 8. | | Dimensionality Reduction with R to Uncover Malicious Internet Domains (datasciencecentral.com) |
| 2 points by vincentg64 on June 10, 2016 | past |
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| 9. | | 13 Great Data Science Infographics (datasciencecentral.com) |
| 3 points by vincentg64 on June 8, 2016 | past |
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| 10. | | Kcore Data Science Influencers: Top 10 (datasciencecentral.com) |
| 1 point by vincentg64 on June 8, 2016 | past |
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| 11. | | A Complete Tutorial to Learn Data Science in R from Scratch (datasciencecentral.com) |
| 5 points by vincentg64 on June 7, 2016 | past |
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| 12. | | Data Science and Machine Learning Encyclopedia – 4,000 Entries (datasciencecentral.com) |
| 1 point by vincentg64 on May 30, 2016 | past |
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| 13. | | Hitchhiker's Guide to Data Science, Machine Learning, R, Python (datasciencecentral.com) |
| 1 point by vincentg64 on May 24, 2016 | past |
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| 14. | | Xda: R package for exploratory data analysis (plotting, univariate, bivariate) (datasciencecentral.com) |
| 5 points by vincentg64 on May 20, 2016 | past |
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| 15. | | Book: Deep Learning with Python (datasciencecentral.com) |
| 3 points by vincentg64 on May 18, 2016 | past | 1 comment |
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| 16. | | Data Science Content Not Found on Google (also Posted on BannedOnGoogle.com) (datasciencecentral.com) |
| 2 points by vincentg64 on May 16, 2016 | past |
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| 17. | | Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders (datasciencecentral.com) |
| 2 points by vincentg64 on May 14, 2016 | past |
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| 18. | | 500+ Data Science Degrees and Certificates Offered by Universities (datasciencecentral.com) |
| 3 points by vincentg64 on May 12, 2016 | past |
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| 19. | | Debunking the 68 Most Common Myths About Big Data – Part 1 (datasciencecentral.com) |
| 2 points by vincentg64 on May 7, 2016 | past |
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| 20. | | Will We Soon No Longer Need Data Scientists? (by Bernard Marr) (datasciencecentral.com) |
| 1 point by vincentg64 on May 6, 2016 | past |
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| 21. | | The Guide to Learning Python for Data Science (datasciencecentral.com) |
| 3 points by vincentg64 on May 5, 2016 | past | 1 comment |
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| 22. | | Treacherous Visualizations (datasciencecentral.com) |
| 1 point by vincentg64 on May 3, 2016 | past |
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| 23. | | Top Hot Data Science Technologies (datasciencecentral.com) |
| 2 points by vincentg64 on May 3, 2016 | past |
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| 24. | | Deep Learning Demystified (datasciencecentral.com) |
| 1 point by vincentg64 on April 29, 2016 | past |
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| 25. | | To Pie Chart or Not to Pie Chart? (datasciencecentral.com) |
| 2 points by vincentg64 on April 28, 2016 | past | 2 comments |
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| 26. | | 11 Important Model Evaluation Techniques Everyone Should Know (datasciencecentral.com) |
| 1 point by vincentg64 on April 28, 2016 | past |
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| 27. | | Machine Learning with Python- Why do they form the best combination (analyticbridge.com) |
| 1 point by vincentg64 on April 28, 2016 | past |
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| 28. | | Learning R in Seven Simple Steps (datasciencecentral.com) |
| 2 points by vincentg64 on April 22, 2016 | past |
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| 29. | | The Guide to Learning Python for Data Science (datasciencecentral.com) |
| 4 points by vincentg64 on April 21, 2016 | past |
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| 30. | | Automated Predictive Analytics – What Could Possibly Go Wrong? (datasciencecentral.com) |
| 3 points by vincentg64 on April 20, 2016 | past |
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| More |
