際際滷shows by User: DKALab / http://www.slideshare.net/images/logo.gif 際際滷shows by User: DKALab / Thu, 10 Nov 2011 12:50:48 GMT 際際滷Share feed for 際際滷shows by User: DKALab Probabilistic Retrieval TFIDF /slideshow/probabilistic-retrieval-tfidf/10108675 probabilistic-retrieval-tfidf-111110125049-phpapp01
To download slides please go here: http://www.intelligentmining.com/category/knowledge-base/]]>

To download slides please go here: http://www.intelligentmining.com/category/knowledge-base/]]>
Thu, 10 Nov 2011 12:50:48 GMT /slideshow/probabilistic-retrieval-tfidf/10108675 DKALab@slideshare.net(DKALab) Probabilistic Retrieval TFIDF DKALab To download slides please go here: http://www.intelligentmining.com/category/knowledge-base/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/probabilistic-retrieval-tfidf-111110125049-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To download slides please go here: http://www.intelligentmining.com/category/knowledge-base/
Probabilistic Retrieval TFIDF from DKALab
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Naive Bayesian Text Classifier Event Models /slideshow/naive-bayesian-event-models/10105554 naive-bayesian-event-models-111110090156-phpapp01
To download slides: http://www.intelligentmining.com/category/knowledge-base/ These are my notes for a presentation I did internally at IM. It covers both the multinomial and multi-variate Bernoulli event models in Naive Bayes text classification. ]]>

To download slides: http://www.intelligentmining.com/category/knowledge-base/ These are my notes for a presentation I did internally at IM. It covers both the multinomial and multi-variate Bernoulli event models in Naive Bayes text classification. ]]>
Thu, 10 Nov 2011 09:01:54 GMT /slideshow/naive-bayesian-event-models/10105554 DKALab@slideshare.net(DKALab) Naive Bayesian Text Classifier Event Models DKALab To download slides: http://www.intelligentmining.com/category/knowledge-base/ These are my notes for a presentation I did internally at IM. It covers both the multinomial and multi-variate Bernoulli event models in Naive Bayes text classification. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/naive-bayesian-event-models-111110090156-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To download slides: http://www.intelligentmining.com/category/knowledge-base/ These are my notes for a presentation I did internally at IM. It covers both the multinomial and multi-variate Bernoulli event models in Naive Bayes text classification.
Naive Bayesian Text Classifier Event Models from DKALab
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Introduction to Matrix Factorization Methods Collaborative Filtering /DKALab/collaborativefilteringfactorization collaborative-filtering-factorization-111109133836-phpapp01
To download slides: http://www.intelligentmining.com/category/knowledge-base/ Introduction to Matrix Factorization Methods Collaborative Filtering]]>

To download slides: http://www.intelligentmining.com/category/knowledge-base/ Introduction to Matrix Factorization Methods Collaborative Filtering]]>
Wed, 09 Nov 2011 13:38:34 GMT /DKALab/collaborativefilteringfactorization DKALab@slideshare.net(DKALab) Introduction to Matrix Factorization Methods Collaborative Filtering DKALab To download slides: http://www.intelligentmining.com/category/knowledge-base/ Introduction to Matrix Factorization Methods Collaborative Filtering <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/collaborative-filtering-factorization-111109133836-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To download slides: http://www.intelligentmining.com/category/knowledge-base/ Introduction to Matrix Factorization Methods Collaborative Filtering
Introduction to Matrix Factorization Methods Collaborative Filtering from DKALab
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Building a Predictive Model /slideshow/building-a-predictive-model-3885424/3885424 intro-predictive-model-100428112941-phpapp01
To download please go to: http://www.intelligentmining.com/knowledge-base.html 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on April 1, 2010 (no joke!) :)]]>

To download please go to: http://www.intelligentmining.com/knowledge-base.html 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on April 1, 2010 (no joke!) :)]]>
Wed, 28 Apr 2010 11:29:30 GMT /slideshow/building-a-predictive-model-3885424/3885424 DKALab@slideshare.net(DKALab) Building a Predictive Model DKALab To download please go to: http://www.intelligentmining.com/knowledge-base.html 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on April 1, 2010 (no joke!) :) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intro-predictive-model-100428112941-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To download please go to: http://www.intelligentmining.com/knowledge-base.html 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on April 1, 2010 (no joke!) :)
Building a Predictive Model from DKALab
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Recommendation Engine Demystified /slideshow/recommendation-engine-demystified/3885394 recmd-engine-demystified-cf102-100428112645-phpapp01
To download please go to: http://www.intelligentmining.com/category/knowledge-base/ 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on Dec. 10, 2009. ]]>

To download please go to: http://www.intelligentmining.com/category/knowledge-base/ 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on Dec. 10, 2009. ]]>
Wed, 28 Apr 2010 11:26:33 GMT /slideshow/recommendation-engine-demystified/3885394 DKALab@slideshare.net(DKALab) Recommendation Engine Demystified DKALab To download please go to: http://www.intelligentmining.com/category/knowledge-base/ 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on Dec. 10, 2009. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recmd-engine-demystified-cf102-100428112645-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To download please go to: http://www.intelligentmining.com/category/knowledge-base/ 際際滷s as presented by Alex Lin to the NYC Predictive Analytics Meetup group: http://www.meetup.com/NYC-Predictive-Analytics/ on Dec. 10, 2009.
Recommendation Engine Demystified from DKALab
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https://cdn.slidesharecdn.com/profile-photo-DKALab-48x48.jpg?cb=1522918790 These slides are from http://www.intelligentmining.com/category/knowledge-base/ To download the slides please go to that link. This 際際滷share account is for Intelligent Mining. We hope to share our ideas about data, analysis, machine learning, predictive modeling, and "big" data. Why do we do send you to another site to download our slides? After all this isn't the best UX and for that we apologize. Simply put, we hope to get some better data to understand our visitors (after all we are data geeks!). 際際滷share provides very little insight into the traffic to our profile & slides. www.intelligentmining.com https://cdn.slidesharecdn.com/ss_thumbnails/probabilistic-retrieval-tfidf-111110125049-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/probabilistic-retrieval-tfidf/10108675 Probabilistic Retrieva... https://cdn.slidesharecdn.com/ss_thumbnails/naive-bayesian-event-models-111110090156-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/naive-bayesian-event-models/10105554 Naive Bayesian Text Cl... https://cdn.slidesharecdn.com/ss_thumbnails/collaborative-filtering-factorization-111109133836-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds DKALab/collaborativefilteringfactorization Introduction to Matrix...