Top Content 2018-04-24T00:00:00+00:00 Tim Matteson https://www.datasciencecentral.com/leaderboards/topcontent/week?feed=yes&xn_auth=no&n=20&images=yes&imageMaxSize=240 1. Why Are Data Science Leaders Running for the Exit? tag:www.datasciencecentral.com,2018-04-24:6448529:BlogPost:713182 2018-04-24T00:00:00+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713182"><img alt="" src="https://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 April 16, 2018</p><div style="clear:left"></div> 2. Elements of Modern Data Science, AI, Big Data and ML tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:713337 2018-04-23T23:59:59+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713337"><img alt="" src="https://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 April 16, 2018</p><div style="clear:left"></div> 3. Book: Artificial Intelligence with Python tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:698281 2018-04-23T23:59:58+00:00 Capri Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A698281"><img alt="" src="https://api.ning.com/files/g1YpzkUzVZK8EUhwlCavcFJaP0dcSpom9ZfTFNTo3Fe7i6T0*ogVPR51*c11*DrKdNWJ-FEWupR5XdF*1lh*0TESKDft6RhF/capriPNG.PNG?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/CapriGranville733">Capri Granville</a> on February 26, 2018</p><div style="clear:left"></div> 4. The Mathematics of Machine Learning tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:526459 2018-04-23T23:59:57+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A526459"><img alt="" src="https://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 15, 2017</p><div style="clear:left"></div> 5. DSC Webinar Series: The State of Data Preparation in 2018 tag:www.datasciencecentral.com,2018-04-23:6448529:Video:710341 2018-04-23T23:59:56+00:00 Tim Matteson <p><a href="https://www.datasciencecentral.com/xn/detail/6448529%3AVideo%3A710341"><img alt="" src="https://api.ning.com/files/Prf2kO3-C5hpaV9NVCNysE3zWAKIP2BJaq5KOivFoBE*x4oZghXG0A6hdkWJfX2lM6VgLgLL*QdNd5UGAGceaIem2oWNeHtd/1845313597.jpeg?width=240&amp;height=135" /></a></p><p>Added by <a href="/profile/2edcolrgc4o4b">Tim Matteson</a> on April 5, 2018</p> 6. Reinforcement Learning and AI tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:467770 2018-04-23T23:59:55+00:00 William Vorhies <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A467770"><img alt="" src="https://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 September 13, 2016</p><div style="clear:left"></div> 7. Machine Learning with C++ - Polynomial Regression (CPU) tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:713502 2018-04-23T23:59:54+00:00 Kyrylo Kolodiazhnyi <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713502"><img alt="" src="https://api.ning.com/files/Zharv*PpyDVDRmOacGj1K-Rn1fEY09c3U0xJTVL7XU0k2Poz*Qyexm07X2qaCfOVseomyJCI3Sj0uu4BZ0*24USP-w7cMh2G/1862464095.jpeg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/KyryloKolodiazhnyi">Kyrylo Kolodiazhnyi</a> on April 17, 2018</p><div style="clear:left"></div> 8. Five point-strategy to avoid analysis-paralysis tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:713960 2018-04-23T23:59:53+00:00 Goran Dragosavac <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713960"><img alt="" src="https://api.ning.com/files/0w*H4sG5kMpF0Lw2iCNu2nA88*AvLuJHt46-wt4SpuhG-HERrJgYAFSAU1dR-EWMHVYKV8a2Zu1oKfVOTDrjZdK*AKlJ89Y6/1297465433.jpeg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/GoranDragosavac">Goran Dragosavac</a> on April 19, 2018</p><div style="clear:left"></div> 9. Deciphering information and misinformation: Inspired by the book "A Field Guide to Lies and Statistics" tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:713808 2018-04-23T23:59:52+00:00 Tom Bransby <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713808"><img alt="" src="https://api.ning.com/files/RaIAq75NIHy3AGRBYUZCej0vN-LL0E-cJqqp2*lqbQlOKNNx5vhrzhGNeoOtkPSOMA2w2o-2tyK3dlT4sU2izavFgmSltsRA/me.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/TomBransby">Tom Bransby</a> on April 18, 2018</p><div style="clear:left"></div> 10. Prioritizing Decisions: Roadmap for Enterprise Analytics tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:714140 2018-04-23T23:59:51+00:00 Krishna Pera <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A714140"><img alt="" src="https://api.ning.com/files/EsUmIidwIQqS86TEKK5jK69BgtLNuj1DL8q7XfIItqzVdoDH76SSYZGvpE1i1Wdi2z8Z2ToO5ag3fJZKK*MMxoNdidVhiy0u/KrishnaProfilephoto2.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/RKrishnaPera">Krishna Pera</a> on April 19, 2018</p><div style="clear:left"></div> 11. A New Way to Compare and Reorganize Data tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:711488 2018-04-23T23:59:50+00:00 JIANG Buxing <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A711488"><img alt="" src="https://api.ning.com/files/YfSu1W1xMrk1h85fEPWDNlny9PP-HTORw27fK8FkvkNN88M8UtC-kgDp9SrK1njory4NwuOT0x8AfueVdSnSwLsUVQauRtC6/1478799452.jpeg?xgip=247%3A0%3A754%3A754%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/HANLijun">JIANG Buxing</a> on April 10, 2018</p><div style="clear:left"></div> 12. Data Science and Machine Learning Without Mathematics tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:581813 2018-04-23T23:59:49+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A581813"><img alt="" src="https://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 June 26, 2017</p><div style="clear:left"></div> 13. Advanced Machine Learning with Basic Excel tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:535714 2018-04-23T23:59:48+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A535714"><img alt="" src="https://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 March 9, 2017</p><div style="clear:left"></div> 14. Reading List for Data Scientists tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:594098 2018-04-23T23:59:47+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A594098"><img alt="" src="https://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 20, 2017</p><div style="clear:left"></div> 15. Blockchain and Bigdata tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:713699 2018-04-23T23:59:46+00:00 James Mason <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A713699"><img alt="" src="https://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/JamesMason886">James Mason</a> on April 18, 2018</p><div style="clear:left"></div> 16. Thursday News: Deep Learning, Issue with PhD Data Scientists, AI, ML, C++, R, Meta Data tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:714131 2018-04-23T23:59:45+00:00 Vincent Granville <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A714131"><img alt="" src="https://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 April 19, 2018</p><div style="clear:left"></div> 17. DSC Webinar Series: Data Contributions to a Conversational AI Platform tag:www.datasciencecentral.com,2018-04-23:6448529:Video:707963 2018-04-23T23:59:44+00:00 Tim Matteson <p><a href="https://www.datasciencecentral.com/xn/detail/6448529%3AVideo%3A707963"><img alt="" src="https://api.ning.com/files/Q3F9ilcZt0aH4vTEYgHFuReSm09pQvmsJodU1J1Dv*h79ZkB9ef7o60*5VGgA9i0o92a*F-E1L0qxTUGfoa58vcMA5EA6AhL/1832855414.jpeg?width=240&amp;height=135" /></a></p><p>Added by <a href="/profile/2edcolrgc4o4b">Tim Matteson</a> on March 28, 2018</p> 18. Choosing Between Modern Data Warehouses tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:714047 2018-04-23T23:59:43+00:00 Luba Belokon <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A714047"><img alt="" src="https://api.ning.com/files/NDUeDq6g1iIP5ruXkbQkJHfubpvHZxz-8HG1cNmwhRgJTRQPtUzuApr0EsrsBS4z2JqjwvoJLogkbe00ZonYZx3PZ4kgC*7*/ava.jpg?width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/LubaBelokon">Luba Belokon</a> on April 19, 2018</p><div style="clear:left"></div> 19. How to get probabilities from XGBoost? tag:www.datasciencecentral.com,2018-04-23:6448529:Topic:714432 2018-04-23T23:59:42+00:00 Alejandro Taboada <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ATopic%3A714432"><img alt="" src="https://api.ning.com/files/mW6SwhsmA*X18ZwvVaROyA4P1qve8THvwv0YBU5Gxtbz6gS8lW1q6gKdkFn86XVokOQTCYff9wWYTArg3BLGUpAbaV5oGfRG/1588584922.jpeg?xgip=0%3A0%3A681%3A681%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Posted by <a href="/profile/AlejandroTaboada">Alejandro Taboada</a> on April 20, 2018</p><div style="clear:left"></div> 20. Useful R Packages that Aligns with The CRISP DM Methodology tag:www.datasciencecentral.com,2018-04-23:6448529:BlogPost:520644 2018-04-23T23:59:41+00:00 Sunil Kappal <p style="float:left"><a href="https://www.datasciencecentral.com/xn/detail/6448529%3ABlogPost%3A520644"><img alt="" src="https://api.ning.com/files/iLIW*rVDs8zsi2VU29Bsmng1wO1sYuQ4l1g0Ya8GKayIJZtuXEq93ss70mg7P12IDEqlKbTf2X7Zn1G122*qv*F7Xy0AAuNc/1247827654.jpeg?xgip=0%3A0%3A218%3A218%3B%3B&amp;width=48&amp;height=48&amp;crop=1%3A1" /></a></p><p>Added by <a href="/profile/SunilKappal">Sunil Kappal</a> on February 6, 2017</p><div style="clear:left"></div>