際際滷shows by User: vsevolodsolovyov / http://www.slideshare.net/images/logo.gif 際際滷shows by User: vsevolodsolovyov / Sat, 16 Mar 2019 10:47:33 GMT 際際滷Share feed for 際際滷shows by User: vsevolodsolovyov Data science: 亰 仗亠 亟仂 仂仍 /slideshow/data-science-136726886/136726886 data-science-from-the-trenches-odessa-190316104733
There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Pycon Odessa'19 in Odessa, Ukraine.]]>
There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Pycon Odessa'19 in Odessa, Ukraine.]]> Sat, 16 Mar 2019 10:47:33 GMT /slideshow/data-science-136726886/136726886 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) Data science: 亰 仗亠 亟仂 仂仍 vsevolodsolovyov There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Pycon Odessa'19 in Odessa, Ukraine. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-odessa-190316104733-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Pycon Odessa&#39;19 in Odessa, Ukraine.
Data science: 亰 仗亠 亟仂 仂仍 from Vsevolod Solovyov
]]> 134 1 https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-odessa-190316104733-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 How to debug /vsevolodsolovyov/how-to-debug-v2 how-to-debug-v2-181124111521
You know that person everybody comes to when the shit hits the fan and that bug is not going to fix itself? Want to become one? Come to learn about all the skills you'll need when your application freezes in production, leaks memory like crazy or dies under load in fifteen seconds]]>
You know that person everybody comes to when the shit hits the fan and that bug is not going to fix itself? Want to become one? Come to learn about all the skills you'll need when your application freezes in production, leaks memory like crazy or dies under load in fifteen seconds]]> Sat, 24 Nov 2018 11:15:21 GMT /vsevolodsolovyov/how-to-debug-v2 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) How to debug vsevolodsolovyov You know that person everybody comes to when the shit hits the fan and that bug is not going to fix itself? Want to become one? Come to learn about all the skills you'll need when your application freezes in production, leaks memory like crazy or dies under load in fifteen seconds <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/how-to-debug-v2-181124111521-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> You know that person everybody comes to when the shit hits the fan and that bug is not going to fix itself? Want to become one? Come to learn about all the skills you&#39;ll need when your application freezes in production, leaks memory like crazy or dies under load in fifteen seconds
How to debug from Vsevolod Solovyov
]]> 287 1 https://cdn.slidesharecdn.com/ss_thumbnails/how-to-debug-v2-181124111521-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 Data science from the trenches /slideshow/data-science-from-the-trenches/114968571 data-science-from-the-trenches-180917100701
There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Highload fwdays'18 in Kyiv, Ukraine.]]>
There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Highload fwdays'18 in Kyiv, Ukraine.]]> Mon, 17 Sep 2018 10:07:01 GMT /slideshow/data-science-from-the-trenches/114968571 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) Data science from the trenches vsevolodsolovyov There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Highload fwdays'18 in Kyiv, Ukraine. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-180917100701-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There are more than 100 million scientific papers and the pace of publishing is ever-increasing. More than one million articles are authored by someone named Wang. Working with the product of academia can be really far from working in academia. Learn anecdotes and stories about parsing, analyzing and extracting value from this kind of data. Presented at Highload fwdays&#39;18 in Kyiv, Ukraine.
Data science from the trenches from Vsevolod Solovyov
]]> 222 2 https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-180917100701-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 亟仆亳 data science/NLP 舒舒仗舒 /slideshow/data-sciencenlp/81651734 data-startup-routine-171106095210
丼舒 仗仂弍仍亠仄 亳 仂仂弍亠仆仆仂亠亶, 从仂仂仄亳 仄 仂仍从仆仍亳, 从舒从 仄 亳 亠舒仍亳, 仂 仗仂仍亳仍仂 仂仂仂, 舒 仂 - 仆亠 仂亠仆.]]>
丼舒 仗仂弍仍亠仄 亳 仂仂弍亠仆仆仂亠亶, 从仂仂仄亳 仄 仂仍从仆仍亳, 从舒从 仄 亳 亠舒仍亳, 仂 仗仂仍亳仍仂 仂仂仂, 舒 仂 - 仆亠 仂亠仆.]]> Mon, 06 Nov 2017 09:52:10 GMT /slideshow/data-sciencenlp/81651734 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) 亟仆亳 data science/NLP 舒舒仗舒 vsevolodsolovyov 丼舒 仗仂弍仍亠仄 亳 仂仂弍亠仆仆仂亠亶, 从仂仂仄亳 仄 仂仍从仆仍亳, 从舒从 仄 亳 亠舒仍亳, 仂 仗仂仍亳仍仂 仂仂仂, 舒 仂 - 仆亠 仂亠仆. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-startup-routine-171106095210-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 丼舒 仗仂弍仍亠仄 亳 仂仂弍亠仆仆仂亠亶, 从仂仂仄亳 仄 仂仍从仆仍亳, 从舒从 仄 亳 亠舒仍亳, 仂 仗仂仍亳仍仂 仂仂仂, 舒 仂 - 仆亠 仂亠仆.
亟仆亳 data science/NLP 舒舒仗舒 from Vsevolod Solovyov
]]> 461 3 https://cdn.slidesharecdn.com/ss_thumbnails/data-startup-routine-171106095210-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 Introduction to information retrieval /slideshow/introduction-to-information-retrieval-75941163/75941163 information-retrieval-170513085915
Beginner-friendly 于于亠亟亠仆亳亠 于 information retrieval, 仂 仂仄, 从舒从 亳 亰舒亠仄 仆亢仆仂 亳舒 仗仂仂亢亠 亠从仂于, 从仂仆亠仗亳亳 Bag of words, TF-IDF 亳 word embeddings (word2vec, glove, fasttext).]]>
Beginner-friendly 于于亠亟亠仆亳亠 于 information retrieval, 仂 仂仄, 从舒从 亳 亰舒亠仄 仆亢仆仂 亳舒 仗仂仂亢亠 亠从仂于, 从仂仆亠仗亳亳 Bag of words, TF-IDF 亳 word embeddings (word2vec, glove, fasttext).]]> Sat, 13 May 2017 08:59:15 GMT /slideshow/introduction-to-information-retrieval-75941163/75941163 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) Introduction to information retrieval vsevolodsolovyov Beginner-friendly 于于亠亟亠仆亳亠 于 information retrieval, 仂 仂仄, 从舒从 亳 亰舒亠仄 仆亢仆仂 亳舒 仗仂仂亢亠 亠从仂于, 从仂仆亠仗亳亳 Bag of words, TF-IDF 亳 word embeddings (word2vec, glove, fasttext). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/information-retrieval-170513085915-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Beginner-friendly 于于亠亟亠仆亳亠 于 information retrieval, 仂 仂仄, 从舒从 亳 亰舒亠仄 仆亢仆仂 亳舒 仗仂仂亢亠 亠从仂于, 从仂仆亠仗亳亳 Bag of words, TF-IDF 亳 word embeddings (word2vec, glove, fasttext).
Introduction to information retrieval from Vsevolod Solovyov
]]> 574 3 https://cdn.slidesharecdn.com/ss_thumbnails/information-retrieval-170513085915-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 How to choose a database /vsevolodsolovyov/how-to-choose-a-database how-to-choose-a-database-170409143011
Database is the most fundamental thing about your project, probably even more than programming language. I've seen a lot of projects that didn't choose their DB carefully or had non-optimal practices while operating their DB and they had a lot of problems and suffering because of that. Here are some guidelines on how to choose a database and go forward with happiness.]]>
Database is the most fundamental thing about your project, probably even more than programming language. I've seen a lot of projects that didn't choose their DB carefully or had non-optimal practices while operating their DB and they had a lot of problems and suffering because of that. Here are some guidelines on how to choose a database and go forward with happiness.]]> Sun, 09 Apr 2017 14:30:11 GMT /vsevolodsolovyov/how-to-choose-a-database vsevolodsolovyov@slideshare.net(vsevolodsolovyov) How to choose a database vsevolodsolovyov Database is the most fundamental thing about your project, probably even more than programming language. I've seen a lot of projects that didn't choose their DB carefully or had non-optimal practices while operating their DB and they had a lot of problems and suffering because of that. Here are some guidelines on how to choose a database and go forward with happiness. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/how-to-choose-a-database-170409143011-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Database is the most fundamental thing about your project, probably even more than programming language. I&#39;ve seen a lot of projects that didn&#39;t choose their DB carefully or had non-optimal practices while operating their DB and they had a lot of problems and suffering because of that. Here are some guidelines on how to choose a database and go forward with happiness.
How to choose a database from Vsevolod Solovyov
]]> 223 2 https://cdn.slidesharecdn.com/ss_thumbnails/how-to-choose-a-database-170409143011-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 Apache Kafka and stream processing peculiarities [ru] /slideshow/apache-kafka-and-stream-processing-peculiarities-ru/43471711 stream-processing-150113091959-conversion-gate02
This is a presentation about our try at an architecture "Turning the database inside out" by Martin Kleppman https://www.youtube.com/watch?v=fU9hR3kiOK0 I think it's more meaningful to watch a talk https://www.youtube.com/watch?v=d5_fbt5x9yc because the slides were created for talk, not for separate viewing]]>
This is a presentation about our try at an architecture "Turning the database inside out" by Martin Kleppman https://www.youtube.com/watch?v=fU9hR3kiOK0 I think it's more meaningful to watch a talk https://www.youtube.com/watch?v=d5_fbt5x9yc because the slides were created for talk, not for separate viewing]]> Tue, 13 Jan 2015 09:19:59 GMT /slideshow/apache-kafka-and-stream-processing-peculiarities-ru/43471711 vsevolodsolovyov@slideshare.net(vsevolodsolovyov) Apache Kafka and stream processing peculiarities [ru] vsevolodsolovyov This is a presentation about our try at an architecture "Turning the database inside out" by Martin Kleppman https://www.youtube.com/watch?v=fU9hR3kiOK0 I think it's more meaningful to watch a talk https://www.youtube.com/watch?v=d5_fbt5x9yc because the slides were created for talk, not for separate viewing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stream-processing-150113091959-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is a presentation about our try at an architecture &quot;Turning the database inside out&quot; by Martin Kleppman https://www.youtube.com/watch?v=fU9hR3kiOK0 I think it&#39;s more meaningful to watch a talk https://www.youtube.com/watch?v=d5_fbt5x9yc because the slides were created for talk, not for separate viewing
Apache Kafka and stream processing peculiarities [ru] from Vsevolod Solovyov
]]> 455 2 https://cdn.slidesharecdn.com/ss_thumbnails/stream-processing-150113091959-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 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-odessa-190316104733-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-science-136726886/136726886 Data science: 亰 仗亠 亟... https://cdn.slidesharecdn.com/ss_thumbnails/how-to-debug-v2-181124111521-thumbnail.jpg?width=320&height=320&fit=bounds vsevolodsolovyov/how-to-debug-v2 How to debug https://cdn.slidesharecdn.com/ss_thumbnails/data-science-from-the-trenches-180917100701-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-science-from-the-trenches/114968571 Data science from the ...