Top Content 2017-06-26T00:00:00+00:00 Tim Matteson http://www.datasciencecentral.com/leaderboards/topcontent/week?feed=yes&xn_auth=no&n=20&images=yes&imageMaxSize=240 1. Quantum Computing and Deep Learning. How Soon? How Fast? tag:www.datasciencecentral.com,2017-06-26:6448529:BlogPost:568571 2017-06-26T00:00:00+00:00 William Vorhies <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A568571"><img alt="" src="http://api.ning.com/files/vuUh0rgUyT5YY1bqRxxX*xixp7A5QtOgMkJwrdfhmBbvJdXkESWXmOIQ4*ytm28omBtFwkzxST*S1J2R1tTaLs84E38GRoEr/1066474078.jpeg?xgip=2%3A102%3A1218%3A1218%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/WilliamVorhies">William Vorhies</a> on May 30, 2017</p><div style="clear:left"></div> 2. The Three Way Race to the Future of AI. Quantum vs. Neuromorphic vs. High Performance Computing tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:578999 2017-06-25T23:59:59+00:00 William Vorhies <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A578999"><img alt="" src="http://api.ning.com/files/vuUh0rgUyT5YY1bqRxxX*xixp7A5QtOgMkJwrdfhmBbvJdXkESWXmOIQ4*ytm28omBtFwkzxST*S1J2R1tTaLs84E38GRoEr/1066474078.jpeg?xgip=2%3A102%3A1218%3A1218%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/WilliamVorhies">William Vorhies</a> on June 20, 2017</p><div style="clear:left"></div> 3. Python: Implementing a k-means algorithm with sklearn tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:578068 2017-06-25T23:59:58+00:00 Michael Grogan <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A578068"><img alt="" src="http://api.ning.com/files/VQvbBACfG9p3hlVZBM-k5OpQE1n06yyjAZ5047heHe2Ntc5GVFDsCRnyuxoElBK8pDYymWDZy-zWWyERagZYdFgebt72D3SX/Ky38u6nT.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/MichaelGrogan">Michael Grogan</a> on June 17, 2017</p><div style="clear:left"></div> 4. 5 Questions To Ask When You Get A Data Dump To Analyse tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:573275 2017-06-25T23:59:57+00:00 saurabh ajmera <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A573275"><img alt="" src="http://api.ning.com/files/I5Q3A4NUOoKZu3PsD7oI2m9IbFScacCiYpTSXrD-ic*FRdqF8dgLFro4rZl6kZhAw2fLcd3mPKrYAkQBg1IfwS3HdI*hCm9I/genericavatar.png?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/saurabhajmera">saurabh ajmera</a> on June 11, 2017</p><div style="clear:left"></div> 5. Data Science Cheat Sheet tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:189956 2017-06-25T23:59:56+00:00 Vincent Granville <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A189956"><img alt="" src="http://api.ning.com/files/0A1mEG0sKPWjMqJf4z6fFy1OBR5wbI4pBUrsFSkzQQohlxGZG1CWnKgjS40GjqQ8*-B2D8fV1bbTLyBNchyxkfDHb7lbTIFh/1206399868.png?xgip=0%3A17%3A185%3A185%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/VincentGranville">Vincent Granville</a> on August 1, 2014</p><div style="clear:left"></div> 6. 40 Techniques Used by Data Scientists tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:444828 2017-06-25T23:59:55+00:00 Vincent Granville <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A444828"><img alt="" src="http://api.ning.com/files/0A1mEG0sKPWjMqJf4z6fFy1OBR5wbI4pBUrsFSkzQQohlxGZG1CWnKgjS40GjqQ8*-B2D8fV1bbTLyBNchyxkfDHb7lbTIFh/1206399868.png?xgip=0%3A17%3A185%3A185%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/VincentGranville">Vincent Granville</a> on July 4, 2016</p><div style="clear:left"></div> 7. Data Mining - What, Why, When tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:579626 2017-06-25T23:59:54+00:00 Ramesh Dontha <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A579626"><img alt="" src="http://api.ning.com/files/AiTnxaHmrQ-2LYRAlldEY2VhkEz3QFZn*J5ruo-mdWn2YE1JrCRwA99j9oFZd1jT9zCOMcR9eZR9SLAQYY38nKt2qeFea*iO/1248816510.jpeg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/RameshDontha">Ramesh Dontha</a> on June 21, 2017</p><div style="clear:left"></div> 8. Great Github list of public data sets tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:268197 2017-06-25T23:59:53+00:00 Mirko Krivanek <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A268197"><img alt="" src="http://api.ning.com/files/3bJ4SqMnp9vkaF49ed3e-dnVXhbKZgHNBsdNV8peJnG6RIgzOhO9inxDcco8vPCokdG4LMj*sipHVRNrzN1kgkYb5XjbAF7k/463550026.jpeg?xgip=39%3A0%3A432%3A432%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/MirkoKrivanek">Mirko Krivanek</a> on April 19, 2015</p><div style="clear:left"></div> 9. How to Kick-start Your Career In Big Data & Data Science tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:531653 2017-06-25T23:59:52+00:00 Yoey Thamas <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A531653"><img alt="" src="http://api.ning.com/files/I5Q3A4NUOoKZu3PsD7oI2m9IbFScacCiYpTSXrD-ic*FRdqF8dgLFro4rZl6kZhAw2fLcd3mPKrYAkQBg1IfwS3HdI*hCm9I/genericavatar.png?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/YoeyThamas">Yoey Thamas</a> on February 28, 2017</p><div style="clear:left"></div> 10. A Tour of Machine Learning Algorithms tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:341501 2017-06-25T23:59:51+00:00 Data Geek <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A341501"><img alt="" src="http://api.ning.com/files/2Rc6Wxf40xa6CFrizUznCz5bVOHMxTnce8X0le6rZgZWLc*QigwXZmIixDxagHnptl4lsPZH2uXqaKWskufiIsiqj3VqgNiq/1272909900.png?xgip=0%3A0%3A230%3A230%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/LaetitiaVanCauwenberge">Data Geek</a> on October 22, 2015</p><div style="clear:left"></div> 11. Brand-Value Analysis with simple Sentiment Analysis using Shiny / R tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:572698 2017-06-25T23:59:50+00:00 Sandipan Dey <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A572698"><img alt="" src="http://api.ning.com/files/ku4bsNFR3J0cb0bA3HGI8tWwKuO9YYPfN5pwO2lAFHEDiJVdUHL20PhefdnRJ2qQveJmo3*4i19Z*iYutcXulBDcKP93OP2O/00535b8.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/SandipanDey">Sandipan Dey</a> on June 9, 2017</p><div style="clear:left"></div> 12. How to find out if it's correlation or causation tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:462677 2017-06-25T23:59:49+00:00 Emmanuelle Rieuf <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A462677"><img alt="" src="http://api.ning.com/files/c3ouOvTy211QMjzANAYIbW2MKrRP3vqDMPDyVGZHVD2ydiEBMW2C*cwPLywAHV5J8xcVfnnGJQ0Y92WcQnj2OhdOE69bTXIG/1212474695.jpeg?xgip=0%3A0%3A713%3A713%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/EmmanuelleRieuf">Emmanuelle Rieuf</a> on August 26, 2016</p><div style="clear:left"></div> 13. Big Data & Hadoop Online Training by Intellipaat tag:www.datasciencecentral.com,2017-06-25:6448529:Topic:470426 2017-06-25T23:59:48+00:00 Swetha.S <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ATopic%3A470426"><img alt="" src="http://api.ning.com/files/I5Q3A4NUOoKZu3PsD7oI2m9IbFScacCiYpTSXrD-ic*FRdqF8dgLFro4rZl6kZhAw2fLcd3mPKrYAkQBg1IfwS3HdI*hCm9I/genericavatar.png?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Posted by <a href="/profile/SwethaS">Swetha.S</a> on September 21, 2016</p><div style="clear:left"></div> 14. Salary history and career path of a data scientist tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:144846 2017-06-25T23:59:47+00:00 Vincent Granville <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A144846"><img alt="" src="http://api.ning.com/files/0A1mEG0sKPWjMqJf4z6fFy1OBR5wbI4pBUrsFSkzQQohlxGZG1CWnKgjS40GjqQ8*-B2D8fV1bbTLyBNchyxkfDHb7lbTIFh/1206399868.png?xgip=0%3A17%3A185%3A185%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/VincentGranville">Vincent Granville</a> on February 19, 2014</p><div style="clear:left"></div> 15. Patterns in the date of birth of movie personalities tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:576583 2017-06-25T23:59:46+00:00 Samir Madhavan <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A576583"><img alt="" src="http://api.ning.com/files/abr*ftmljSdi8ObUwhOQWilp*O8CQHru7YJ3qLC2AY0-LmZSZdBbLQkRJeU2*XFCNSnt5HPTpMrFqLgY0fnZ8seDfGsQ5pIR/1294995886.png?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/SamirMadhavan">Samir Madhavan</a> on June 14, 2017</p><div style="clear:left"></div> 16. Data Viz – Death to Flat Dashboards tag:www.datasciencecentral.com,2017-06-25:6448529:Video:564852 2017-06-25T23:59:45+00:00 Tim Matteson <p><a href="http://www.datasciencecentral.com/xn/detail/6448529%3AVideo%3A564852"><img alt="" src="http://api.ning.com/files/YR9*ve45WZe4GPCJPNQT1X*lyF3xm-*yQSoJehMQfu2PDkf7Lull50LCNoLEniNSM9lk7aR8to*jPcSYV97oarak1Sni8s-S/1285153775.jpeg?width=240&amp;height=135" /></a></p><p>Added by <a href="/profile/2edcolrgc4o4b">Tim Matteson</a> on May 18, 2017</p> 17. Comparing Spectral partitioning / clustering (with Normalized Graph Laplacian) with KMeans Clustering in R tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:571988 2017-06-25T23:59:44+00:00 Sandipan Dey <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A571988"><img alt="" src="http://api.ning.com/files/ku4bsNFR3J0cb0bA3HGI8tWwKuO9YYPfN5pwO2lAFHEDiJVdUHL20PhefdnRJ2qQveJmo3*4i19Z*iYutcXulBDcKP93OP2O/00535b8.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/SandipanDey">Sandipan Dey</a> on June 8, 2017</p><div style="clear:left"></div> 18. Automated Predictive Analytics – What Could Possibly Go Wrong? tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:414966 2017-06-25T23:59:43+00:00 William Vorhies <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A414966"><img alt="" src="http://api.ning.com/files/vuUh0rgUyT5YY1bqRxxX*xixp7A5QtOgMkJwrdfhmBbvJdXkESWXmOIQ4*ytm28omBtFwkzxST*S1J2R1tTaLs84E38GRoEr/1066474078.jpeg?xgip=2%3A102%3A1218%3A1218%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/WilliamVorhies">William Vorhies</a> on April 20, 2016</p><div style="clear:left"></div> 19. Predicting Car Prices Part 2: Using Neural Network tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:259218 2017-06-25T23:59:42+00:00 Peter Chen <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A259218"><img alt="" src="http://api.ning.com/files/I5Q3A4NUOoKZu3PsD7oI2m9IbFScacCiYpTSXrD-ic*FRdqF8dgLFro4rZl6kZhAw2fLcd3mPKrYAkQBg1IfwS3HdI*hCm9I/genericavatar.png?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/PeterChen811">Peter Chen</a> on March 22, 2015</p><div style="clear:left"></div> 20. 100 Free Tutorials for learning R tag:www.datasciencecentral.com,2017-06-25:6448529:BlogPost:575806 2017-06-25T23:59:41+00:00 Deepanshu Bhalla <p style="float:left"><a href="http://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A575806"><img alt="" src="http://api.ning.com/files/vtm5j-VOdSl-ct7gH*wz89NS*D9pi*EBSEhmkZEnTQnuDN2*Ye5mkJ0hzfodhGV-RurHzM3lcAV8ddct*33HIIqORpfmfY4C/1235298804.jpeg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/DeepanshuBhalla">Deepanshu Bhalla</a> on June 12, 2017</p><div style="clear:left"></div>