際際滷shows by User: AndreyDanilchenko / http://www.slideshare.net/images/logo.gif 際際滷shows by User: AndreyDanilchenko / Mon, 21 Nov 2016 11:00:47 GMT 際際滷Share feed for 際際滷shows by User: AndreyDanilchenko 丐 Machine Learning 2016. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 /slideshow/recsys-itmoautumn2016/69348162 recsys-itmo-autumn-2016-161121110047
舒从舒亰 仗仂 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 亠仍仂仄, 仂 仂仄, 从舒从亳亠 仂仆亳 弍于舒 亳 从舒从亳亠 亟舒仆仆亠 亳仗仂仍亰ﾑ. 舒从亳亶 舒亰弍仂 kNN-仄仂亟亠仍亳 亳 SVD, 舒从舒亰 仂 仂仄, 从舒从 仗亳仄亠仆 SGD 亳 ALS 亟仍 仂弍亠仆亳 SVD. 弍亠仆亳亠 implicit SVD 亠亠亰 iALS. 亠仂亟 仗仂仂亠仆亳 仂弍仆亠仆亳亶 从 亠从仂仄亠仆亟舒亳礆. 弍亰仂 仂仆仂于仆 仄亠亳从 从舒亠于舒 仂亟亠仍 Personalized Bayesian Ranking 于 从舒亠于亠 仗亳仄亠舒 learning to rank framework.]]>
舒从舒亰 仗仂 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 亠仍仂仄, 仂 仂仄, 从舒从亳亠 仂仆亳 弍于舒 亳 从舒从亳亠 亟舒仆仆亠 亳仗仂仍亰ﾑ. 舒从亳亶 舒亰弍仂 kNN-仄仂亟亠仍亳 亳 SVD, 舒从舒亰 仂 仂仄, 从舒从 仗亳仄亠仆 SGD 亳 ALS 亟仍 仂弍亠仆亳 SVD. 弍亠仆亳亠 implicit SVD 亠亠亰 iALS. 亠仂亟 仗仂仂亠仆亳 仂弍仆亠仆亳亶 从 亠从仂仄亠仆亟舒亳礆. 弍亰仂 仂仆仂于仆 仄亠亳从 从舒亠于舒 仂亟亠仍 Personalized Bayesian Ranking 于 从舒亠于亠 仗亳仄亠舒 learning to rank framework.]]> Mon, 21 Nov 2016 11:00:47 GMT /slideshow/recsys-itmoautumn2016/69348162 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 丐 Machine Learning 2016. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 AndreyDanilchenko 舒从舒亰 仗仂 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 亠仍仂仄, 仂 仂仄, 从舒从亳亠 仂仆亳 弍于舒 亳 从舒从亳亠 亟舒仆仆亠 亳仗仂仍亰ﾑ. 舒从亳亶 舒亰弍仂 kNN-仄仂亟亠仍亳 亳 SVD, 舒从舒亰 仂 仂仄, 从舒从 仗亳仄亠仆 SGD 亳 ALS 亟仍 仂弍亠仆亳 SVD. 弍亠仆亳亠 implicit SVD 亠亠亰 iALS. 亠仂亟 仗仂仂亠仆亳 仂弍仆亠仆亳亶 从 亠从仂仄亠仆亟舒亳礆. 弍亰仂 仂仆仂于仆 仄亠亳从 从舒亠于舒 仂亟亠仍 Personalized Bayesian Ranking 于 从舒亠于亠 仗亳仄亠舒 learning to rank framework. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recsys-itmo-autumn-2016-161121110047-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 舒从舒亰 仗仂 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 亠仍仂仄, 仂 仂仄, 从舒从亳亠 仂仆亳 弍于舒 亳 从舒从亳亠 亟舒仆仆亠 亳仗仂仍亰ﾑ. 舒从亳亶 舒亰弍仂 kNN-仄仂亟亠仍亳 亳 SVD, 舒从舒亰 仂 仂仄, 从舒从 仗亳仄亠仆 SGD 亳 ALS 亟仍 仂弍亠仆亳 SVD. 弍亠仆亳亠 implicit SVD 亠亠亰 iALS. 亠仂亟 仗仂仂亠仆亳 仂弍仆亠仆亳亶 从 亠从仂仄亠仆亟舒亳礆. 弍亰仂 仂仆仂于仆 仄亠亳从 从舒亠于舒 仂亟亠仍 Personalized Bayesian Ranking 于 从舒亠于亠 仗亳仄亠舒 learning to rank framework.
丐 Machine Learning 2016. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 from Andrey Danilchenko
]]> 329 2 https://cdn.slidesharecdn.com/ss_thumbnails/recsys-itmo-autumn-2016-161121110047-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 丐 Machine Learning 2015. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 /slideshow/machine-learning-2015/55109271 itmo-autumn-2015-151114141655-lva1-app6891
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 仆舒 从舒亠亟亠 丐 丐 (2015 - 2015 亠弍仆亶 亞仂亟)]]>
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 仆舒 从舒亠亟亠 丐 丐 (2015 - 2015 亠弍仆亶 亞仂亟)]]> Sat, 14 Nov 2015 14:16:55 GMT /slideshow/machine-learning-2015/55109271 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 丐 Machine Learning 2015. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 AndreyDanilchenko 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 仆舒 从舒亠亟亠 丐 丐 (2015 - 2015 亠弍仆亶 亞仂亟) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2015-151114141655-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 仆舒 从舒亠亟亠 丐 丐 (2015 - 2015 亠弍仆亶 亞仂亟)
丐 Machine Learning 2015. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 from Andrey Danilchenko
]]> 550 4 https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2015-151114141655-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture 6 /slideshow/itmo-recsys-course-autumn-2014-lecture-6/42891684 lecture6-141220032542-conversion-gate02
Sequence recommenders. Yahoo station-based and stationless models. Sequential item2item. LME and its extensions.]]>
Sequence recommenders. Yahoo station-based and stationless models. Sequential item2item. LME and its extensions.]]> Sat, 20 Dec 2014 03:25:42 GMT /slideshow/itmo-recsys-course-autumn-2014-lecture-6/42891684 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture 6 AndreyDanilchenko Sequence recommenders. Yahoo station-based and stationless models. Sequential item2item. LME and its extensions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture6-141220032542-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Sequence recommenders. Yahoo station-based and stationless models. Sequential item2item. LME and its extensions.
ITMO RecSys course. Autumn 2014. Lecture 6 from Andrey Danilchenko
]]> 690 2 https://cdn.slidesharecdn.com/ss_thumbnails/lecture6-141220032542-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture 5 /slideshow/lecture5-42666726/42666726 lecture5-141213015656-conversion-gate01
Deep learning usefull for recommender systems. Word2vec and Paragraph vector. Convolution Neural Networks for music]]>
Deep learning usefull for recommender systems. Word2vec and Paragraph vector. Convolution Neural Networks for music]]> Sat, 13 Dec 2014 01:56:56 GMT /slideshow/lecture5-42666726/42666726 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture 5 AndreyDanilchenko Deep learning usefull for recommender systems. Word2vec and Paragraph vector. Convolution Neural Networks for music <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture5-141213015656-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep learning usefull for recommender systems. Word2vec and Paragraph vector. Convolution Neural Networks for music
ITMO RecSys course. Autumn 2014. Lecture 5 from Andrey Danilchenko
]]> 753 3 https://cdn.slidesharecdn.com/ss_thumbnails/lecture5-141213015656-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture 4 /slideshow/itmo-recsys-lecture4/42404700 lecture4-141205135128-conversion-gate01
ITMO RecSys course. Autumn 2014. Lecture 4. Restricted Botzmann Machines More evaluation Bayesian Personalized Ranking]]>
ITMO RecSys course. Autumn 2014. Lecture 4. Restricted Botzmann Machines More evaluation Bayesian Personalized Ranking]]> Fri, 05 Dec 2014 13:51:27 GMT /slideshow/itmo-recsys-lecture4/42404700 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture 4 AndreyDanilchenko ITMO RecSys course. Autumn 2014. Lecture 4. Restricted Botzmann Machines More evaluation Bayesian Personalized Ranking <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture4-141205135128-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ITMO RecSys course. Autumn 2014. Lecture 4. Restricted Botzmann Machines More evaluation Bayesian Personalized Ranking
ITMO RecSys course. Autumn 2014. Lecture 4 from Andrey Danilchenko
]]> 370 1 https://cdn.slidesharecdn.com/ss_thumbnails/lecture4-141205135128-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 2 /slideshow/itmo-autumn2014part2/41672194 itmo-autumn-2014-part2-141117151726-conversion-gate02
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 2 explanations, RBM, evaluation metrics, BPR]]>
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 2 explanations, RBM, evaluation metrics, BPR]]> Mon, 17 Nov 2014 15:17:26 GMT /slideshow/itmo-autumn2014part2/41672194 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 2 AndreyDanilchenko 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 2 explanations, RBM, evaluation metrics, BPR <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2014-part2-141117151726-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 2 explanations, RBM, evaluation metrics, BPR
丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 2 from Andrey Danilchenko
]]> 973 2 https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2014-part2-141117151726-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 1 /slideshow/machine-learning-1-41313803/41313803 itmo-autumn-2014-part1-141109070601-conversion-gate02
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 1 kNN, SVD, iALS.]]>
亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 1 kNN, SVD, iALS.]]> Sun, 09 Nov 2014 07:06:01 GMT /slideshow/machine-learning-1-41313803/41313803 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 1 AndreyDanilchenko 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 1 kNN, SVD, iALS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2014-part1-141109070601-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 亠从亳-于于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 于 舒仄从舒 从舒 仗仂 仄舒亳仆仆仂仄 仂弍亠仆亳 亟仍 亟亠仆仂于 亠于亠仂亞仂 从舒 仆舒 从舒亠亟亠 丐 丐. 丼舒 1 kNN, SVD, iALS.
丐 Machine Learning. 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 舒 1 from Andrey Danilchenko
]]> 807 2 https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2014-part1-141109070601-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture 3 /slideshow/lecture3-41275761/41275761 lecture3-141107162538-conversion-gate01
ITMO RecSys course. Autumn 2014. Lecture 3. Demo of Oryx. Taxonomy. Similarities & candidate selection: - metric trees - lsh - alsh]]>
ITMO RecSys course. Autumn 2014. Lecture 3. Demo of Oryx. Taxonomy. Similarities & candidate selection: - metric trees - lsh - alsh]]> Fri, 07 Nov 2014 16:25:37 GMT /slideshow/lecture3-41275761/41275761 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture 3 AndreyDanilchenko ITMO RecSys course. Autumn 2014. Lecture 3. Demo of Oryx. Taxonomy. Similarities & candidate selection: - metric trees - lsh - alsh <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture3-141107162538-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ITMO RecSys course. Autumn 2014. Lecture 3. Demo of Oryx. Taxonomy. Similarities &amp; candidate selection: - metric trees - lsh - alsh
ITMO RecSys course. Autumn 2014. Lecture 3 from Andrey Danilchenko
]]> 513 1 https://cdn.slidesharecdn.com/ss_thumbnails/lecture3-141107162538-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture 2 /slideshow/lecture2-40706158/40706158 lecture2-141025014054-conversion-gate01
ITMO RecSys course. Autumn 2014. Lecture 2: SVD continued. Advanced SVD methods: iALS, ALS1, iALS1, rankALS. Explanations for SVD recommendations]]>
ITMO RecSys course. Autumn 2014. Lecture 2: SVD continued. Advanced SVD methods: iALS, ALS1, iALS1, rankALS. Explanations for SVD recommendations]]> Sat, 25 Oct 2014 01:40:54 GMT /slideshow/lecture2-40706158/40706158 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture 2 AndreyDanilchenko ITMO RecSys course. Autumn 2014. Lecture 2: SVD continued. Advanced SVD methods: iALS, ALS1, iALS1, rankALS. Explanations for SVD recommendations <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture2-141025014054-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ITMO RecSys course. Autumn 2014. Lecture 2: SVD continued. Advanced SVD methods: iALS, ALS1, iALS1, rankALS. Explanations for SVD recommendations
ITMO RecSys course. Autumn 2014. Lecture 2 from Andrey Danilchenko
]]> 420 1 https://cdn.slidesharecdn.com/ss_thumbnails/lecture2-141025014054-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation /slideshow/itmo-recsys-course-autumn-2014-lecture1-introduction-knn-svd/40423604 lecture1-141018015559-conversion-gate01
ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation]]>
ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation]]> Sat, 18 Oct 2014 01:55:59 GMT /slideshow/itmo-recsys-course-autumn-2014-lecture1-introduction-knn-svd/40423604 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation AndreyDanilchenko ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture1-141018015559-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation
ITMO RecSys course. Autumn 2014. Lecture1: Introduction. kNN, SVD, evaluation from Andrey Danilchenko
]]> 621 1 https://cdn.slidesharecdn.com/ss_thumbnails/lecture1-141018015559-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ITMO RecSys course. Autumn2014. Lecture1 /slideshow/itmo-recsys-autumn-lecture1/40423538 lecture1-141018015403-conversion-gate01
]]>
]]> Sat, 18 Oct 2014 01:54:03 GMT /slideshow/itmo-recsys-autumn-lecture1/40423538 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) ITMO RecSys course. Autumn2014. Lecture1 AndreyDanilchenko <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture1-141018015403-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
ITMO RecSys course. Autumn2014. Lecture1 from Andrey Danilchenko
]]> 265 3 https://cdn.slidesharecdn.com/ss_thumbnails/lecture1-141018015403-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cs center-intern-autumn2014 /slideshow/cs-centerinternautumn2014/39085681 cs-center-intern-autumn2014-140915021853-phpapp01
slides for cs student's intern program presentation for autumn 2014]]>
slides for cs student's intern program presentation for autumn 2014]]> Mon, 15 Sep 2014 02:18:53 GMT /slideshow/cs-centerinternautumn2014/39085681 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) Cs center-intern-autumn2014 AndreyDanilchenko slides for cs student's intern program presentation for autumn 2014 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cs-center-intern-autumn2014-140915021853-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> slides for cs student&#39;s intern program presentation for autumn 2014
Cs center-intern-autumn2014 from Andrey Danilchenko
]]> 496 1 https://cdn.slidesharecdn.com/ss_thumbnails/cs-center-intern-autumn2014-140915021853-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 亠从仂仄亠仆亟舒亠仍仆舒 亳亠仄舒: 弍亶 舒 /slideshow/dmlabs-120140403/33077741 dmlabs-1-2014-04-03-140403055732-phpapp01
Lecture for DM labs, first part. Introducing iALS and demonstrating ORYX recommender]]>
Lecture for DM labs, first part. Introducing iALS and demonstrating ORYX recommender]]> Thu, 03 Apr 2014 05:57:32 GMT /slideshow/dmlabs-120140403/33077741 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 亠从仂仄亠仆亟舒亠仍仆舒 亳亠仄舒: 弍亶 舒 AndreyDanilchenko Lecture for DM labs, first part. Introducing iALS and demonstrating ORYX recommender <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dmlabs-1-2014-04-03-140403055732-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lecture for DM labs, first part. Introducing iALS and demonstrating ORYX recommender
亠从仂仄亠仆亟舒亠仍仆舒 亳亠仄舒: 弍亶 舒 from Andrey Danilchenko
]]> 663 2 https://cdn.slidesharecdn.com/ss_thumbnails/dmlabs-1-2014-04-03-140403055732-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sequence recommenders /slideshow/dmlabs-220140403/33077740 dmlabs-2-2014-04-03-140403055728-phpapp01
Lecture for DM labs, second part. Methods for sequential recommendations: Koren's station-based/station-less and LME models]]>
Lecture for DM labs, second part. Methods for sequential recommendations: Koren's station-based/station-less and LME models]]> Thu, 03 Apr 2014 05:57:28 GMT /slideshow/dmlabs-220140403/33077740 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) Sequence recommenders AndreyDanilchenko Lecture for DM labs, second part. Methods for sequential recommendations: Koren's station-based/station-less and LME models <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dmlabs-2-2014-04-03-140403055728-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lecture for DM labs, second part. Methods for sequential recommendations: Koren&#39;s station-based/station-less and LME models
Sequence recommenders from Andrey Danilchenko
]]> 401 2 https://cdn.slidesharecdn.com/ss_thumbnails/dmlabs-2-2014-04-03-140403055728-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 /slideshow/ss-28160131/28160131 recsys-131112085905-phpapp02
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]]> Tue, 12 Nov 2013 08:59:05 GMT /slideshow/ss-28160131/28160131 AndreyDanilchenko@slideshare.net(AndreyDanilchenko) 于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 AndreyDanilchenko <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recsys-131112085905-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
于亠亟亠仆亳亠 于 亠从仂仄亠仆亟舒亠仍仆亠 亳亠仄 from Andrey Danilchenko
]]> 1936 2 https://cdn.slidesharecdn.com/ss_thumbnails/recsys-131112085905-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-AndreyDanilchenko-48x48.jpg?cb=1523692885 Java application developer. Have an experience of developing big multithreading systems. Also familiar with different CVS (git, hg, svn ...), build systems like maven. Active Unix user for past four years (can widely use utils like grep, sed, awk, etc., write scripts in bash or python). Also have experience of developing in C++ for windows and linux (little experience of QT). Can use GNU R for statistical calculations and other. Fields of interest: recommender systems Specialties: Java, C++, R, Linux, Python etc. https://cdn.slidesharecdn.com/ss_thumbnails/recsys-itmo-autumn-2016-161121110047-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/recsys-itmoautumn2016/69348162 丐 Machine Learning ... https://cdn.slidesharecdn.com/ss_thumbnails/itmo-autumn-2015-151114141655-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/machine-learning-2015/55109271 丐 Machine Learning ... https://cdn.slidesharecdn.com/ss_thumbnails/lecture6-141220032542-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/itmo-recsys-course-autumn-2014-lecture-6/42891684 ITMO RecSys course. Au...