�ݺ�ߣshows by User: KaiX

�ݺ�ߣshows by User: KaiX / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: KaiX / Thu, 03 Mar 2016 01:44:09 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: KaiX Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing /slideshow/xavier-conort-datascience-sg-meetup-challenges-in-insurance-pricing/58996097 challengesininsurancepricing-160303014409
Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing]]>
Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing]]> Thu, 03 Mar 2016 01:44:09 GMT /slideshow/xavier-conort-datascience-sg-meetup-challenges-in-insurance-pricing/58996097 KaiX@slideshare.net(KaiX) Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing KaiX Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/challengesininsurancepricing-160303014409-thumbnail.jpg?width=120&height=120&fit=bounds" /> Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing

Xavier Conort, DataScience SG Meetup - Challenges in insurance pricing from Kai Xin Thia

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0 Forecasting Techniques - Data Science SG /slideshow/forecasting-techniques-data-science-sg/35075493 forecastingkx-140524075703-phpapp02
Presentation by Kai Xin on techniques learnt from Forecasting - Principles and Practice book: www.otexts.org/fpp Cover techniques like Seasonal and Trend decomposition using Loess (STL), Holts-Winters, ARIMA etc. R code adapted from the book is available at: https://github.com/thiakx/Forecasting_DSSG]]>
Presentation by Kai Xin on techniques learnt from Forecasting - Principles and Practice book: www.otexts.org/fpp Cover techniques like Seasonal and Trend decomposition using Loess (STL), Holts-Winters, ARIMA etc. R code adapted from the book is available at: https://github.com/thiakx/Forecasting_DSSG]]> Sat, 24 May 2014 07:57:03 GMT /slideshow/forecasting-techniques-data-science-sg/35075493 KaiX@slideshare.net(KaiX) Forecasting Techniques - Data Science SG KaiX Presentation by Kai Xin on techniques learnt from Forecasting - Principles and Practice book: www.otexts.org/fpp Cover techniques like Seasonal and Trend decomposition using Loess (STL), Holts-Winters, ARIMA etc. R code adapted from the book is available at: https://github.com/thiakx/Forecasting_DSSG <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/forecastingkx-140524075703-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Kai Xin on techniques learnt from Forecasting - Principles and Practice book: www.otexts.org/fpp Cover techniques like Seasonal and Trend decomposition using Loess (STL), Holts-Winters, ARIMA etc. R code adapted from the book is available at: https://github.com/thiakx/Forecasting_DSSG

Forecasting Techniques - Data Science SG from Kai Xin Thia

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0 Musings of kaggler /slideshow/musings-of-kaggler/33835166 musingsofkaggler-140423013707-phpapp01
In this presentation at R user group, I share about the various advance techniques I used for Kaggle competitions. Includes: Interactive visualization via leaflet, geospatial clustering via local Moran's I, feature creation, text categorization via splitTag techniques and ensemble modeling. Full code can be downloaded here: https://github.com/thiakx/RUGS-Meetup Train / test data from Kaggle: http://www.kaggle.com/c/see-click-predict-fix/data Interactive map demo: http://www.thiakx.com/misc/playground/scfMap/scfMap.html]]>
In this presentation at R user group, I share about the various advance techniques I used for Kaggle competitions. Includes: Interactive visualization via leaflet, geospatial clustering via local Moran's I, feature creation, text categorization via splitTag techniques and ensemble modeling. Full code can be downloaded here: https://github.com/thiakx/RUGS-Meetup Train / test data from Kaggle: http://www.kaggle.com/c/see-click-predict-fix/data Interactive map demo: http://www.thiakx.com/misc/playground/scfMap/scfMap.html]]> Wed, 23 Apr 2014 01:37:07 GMT /slideshow/musings-of-kaggler/33835166 KaiX@slideshare.net(KaiX) Musings of kaggler KaiX In this presentation at R user group, I share about the various advance techniques I used for Kaggle competitions. Includes: Interactive visualization via leaflet, geospatial clustering via local Moran's I, feature creation, text categorization via splitTag techniques and ensemble modeling. Full code can be downloaded here: https://github.com/thiakx/RUGS-Meetup Train / test data from Kaggle: http://www.kaggle.com/c/see-click-predict-fix/data Interactive map demo: http://www.thiakx.com/misc/playground/scfMap/scfMap.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/musingsofkaggler-140423013707-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this presentation at R user group, I share about the various advance techniques I used for Kaggle competitions. Includes: Interactive visualization via leaflet, geospatial clustering via local Moran's I, feature creation, text categorization via splitTag techniques and ensemble modeling. Full code can be downloaded here: https://github.com/thiakx/RUGS-Meetup Train / test data from Kaggle: http://www.kaggle.com/c/see-click-predict-fix/data Interactive map demo: http://www.thiakx.com/misc/playground/scfMap/scfMap.html

Musings of kaggler from Kai Xin Thia

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0 Good Enough Analytics /slideshow/good-enough-analyticsfinal/27020980 goodenoughanalyticsfinal-131009094426-phpapp01
Presented @ Bigdata Singapore Meetup. Good Enough Analytics is a methodology I am working on to achieve decent analytical results at a reasonable cost. Warning: For the consumption of Data Nerds Only. For 99% of normal humans, these slides are snooze inducing =P.]]>
Presented @ Bigdata Singapore Meetup. Good Enough Analytics is a methodology I am working on to achieve decent analytical results at a reasonable cost. Warning: For the consumption of Data Nerds Only. For 99% of normal humans, these slides are snooze inducing =P.]]> Wed, 09 Oct 2013 09:44:26 GMT /slideshow/good-enough-analyticsfinal/27020980 KaiX@slideshare.net(KaiX) Good Enough Analytics KaiX Presented @ Bigdata Singapore Meetup. Good Enough Analytics is a methodology I am working on to achieve decent analytical results at a reasonable cost. Warning: For the consumption of Data Nerds Only. For 99% of normal humans, these slides are snooze inducing =P. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/goodenoughanalyticsfinal-131009094426-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presented @ Bigdata Singapore Meetup. Good Enough Analytics is a methodology I am working on to achieve decent analytical results at a reasonable cost. Warning: For the consumption of Data Nerds Only. For 99% of normal humans, these slides are snooze inducing =P.

Good Enough Analytics from Kai Xin Thia

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0 Lions, zebras and Big Data Anonymization /slideshow/lions-zebras-and-big-data-anonymization/26786970 lionszebrasdataanonymization-131002091606-phpapp02
In a recent safari trip to Tanzania, East Africa, I observed that lions are not interested in attacking the human visitors at all. What is the secret to the safari's (non existent) security measures for their visitors? How do we determine the optimum tradeoff between enjoying the safari and safety? How can we quantify the risk? And ultimately, how can we apply these lessons + data anonymization techniques to Big Data?]]>
In a recent safari trip to Tanzania, East Africa, I observed that lions are not interested in attacking the human visitors at all. What is the secret to the safari's (non existent) security measures for their visitors? How do we determine the optimum tradeoff between enjoying the safari and safety? How can we quantify the risk? And ultimately, how can we apply these lessons + data anonymization techniques to Big Data?]]> Wed, 02 Oct 2013 09:16:06 GMT /slideshow/lions-zebras-and-big-data-anonymization/26786970 KaiX@slideshare.net(KaiX) Lions, zebras and Big Data Anonymization KaiX In a recent safari trip to Tanzania, East Africa, I observed that lions are not interested in attacking the human visitors at all. What is the secret to the safari's (non existent) security measures for their visitors? How do we determine the optimum tradeoff between enjoying the safari and safety? How can we quantify the risk? And ultimately, how can we apply these lessons + data anonymization techniques to Big Data? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lionszebrasdataanonymization-131002091606-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> In a recent safari trip to Tanzania, East Africa, I observed that lions are not interested in attacking the human visitors at all. What is the secret to the safari's (non existent) security measures for their visitors? How do we determine the optimum tradeoff between enjoying the safari and safety? How can we quantify the risk? And ultimately, how can we apply these lessons + data anonymization techniques to Big Data?

Lions, zebras and Big Data Anonymization from Kai Xin Thia

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0 https://cdn.slidesharecdn.com/profile-photo-KaiX-48x48.jpg?cb=1525850510 Using Big data to make the world a Tiny bit better =] https://cdn.slidesharecdn.com/ss_thumbnails/challengesininsurancepricing-160303014409-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/xavier-conort-datascience-sg-meetup-challenges-in-insurance-pricing/58996097 Xavier Conort, DataSci... https://cdn.slidesharecdn.com/ss_thumbnails/forecastingkx-140524075703-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/forecasting-techniques-data-science-sg/35075493 Forecasting Techniques... https://cdn.slidesharecdn.com/ss_thumbnails/musingsofkaggler-140423013707-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/musings-of-kaggler/33835166 Musings of kaggler