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	<title>Pavel Surmenok &#187; Tech</title>
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		<title>Moved to Medium</title>
		<link>http://pavel.surmenok.com/2018/11/20/moved-to-medium/</link>
		<comments>http://pavel.surmenok.com/2018/11/20/moved-to-medium/#comments</comments>
		<pubDate>Wed, 21 Nov 2018 04:35:00 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=294</guid>
		<description><![CDATA[Starting from October 2017, I publish new articles only on Medium and don&#8217;t cross-post here. Please follow me on Medium: https://medium.com/@surmenok]]></description>
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		<title>Fast.ai: What I Learned from Lessons 1-3</title>
		<link>http://pavel.surmenok.com/2017/10/21/fast-ai-what-i-learned-from-lessons-1-3/</link>
		<comments>http://pavel.surmenok.com/2017/10/21/fast-ai-what-i-learned-from-lessons-1-3/#comments</comments>
		<pubDate>Sat, 21 Oct 2017 22:29:10 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=291</guid>
		<description><![CDATA[Fast.ai is a great deep learning course for those who prefer to learn by doing. Unlike other courses, here you will build a deep neural network that achieves good results in an image recognition problem in an hour. You start from working code and then dig deeper into the theory and the ways to improve [...]]]></description>
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		<title>Gamers Paid for Deep Learning and Self-Driving Cars Research</title>
		<link>http://pavel.surmenok.com/2017/10/15/gamers-paid-for-deep-learning-and-self-driving-cars-research/</link>
		<comments>http://pavel.surmenok.com/2017/10/15/gamers-paid-for-deep-learning-and-self-driving-cars-research/#comments</comments>
		<pubDate>Sun, 15 Oct 2017 23:09:54 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=288</guid>
		<description><![CDATA[The gaming industry has a significant impact on deep learning and self-driving cars. GPUs fueled the progress in deep learning, as they enabled training much larger neural networks on large datasets. For about 20 years, GPUs were mostly used by gamers. Every year NVIDIA was pouring billions of dollars into R&#38;D to make better and [...]]]></description>
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		<title>Udacity Flying Car Nanodegree Program</title>
		<link>http://pavel.surmenok.com/2017/10/02/udacity-flying-car-nanodegree-program/</link>
		<comments>http://pavel.surmenok.com/2017/10/02/udacity-flying-car-nanodegree-program/#comments</comments>
		<pubDate>Tue, 03 Oct 2017 01:53:53 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=282</guid>
		<description><![CDATA[Udacity has announced a Flying Car Nanodegree Program in September. They want to teach students the skills necessary to build the future of smart transportation. Students will develop the software skills and conceptual understanding for building an autonomous flight system for quadrotor and fixed-wing drones. The program will start in early 2018. Price wasn&#8217;t announced [...]]]></description>
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		<title>New GPS Chip With 30cm Accuracy</title>
		<link>http://pavel.surmenok.com/2017/09/24/new-gps-chip-with-30cm-accuracy/</link>
		<comments>http://pavel.surmenok.com/2017/09/24/new-gps-chip-with-30cm-accuracy/#comments</comments>
		<pubDate>Mon, 25 Sep 2017 01:56:29 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=279</guid>
		<description><![CDATA[Broadcom announced a new GPS chip that will give 30-centimeter accuracy instead of today&#8217;s 5 meters. They are able to achieve better accuracy because of the new GPS L5 signal. It is a civilian &#8220;safety of life&#8221; signal, designed to provide means of secure and robust navigation enough for life-critical applications, like aircraft precision approach [...]]]></description>
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		<title>Jeff Dean’s Talk on Large-Scale Deep Learning</title>
		<link>http://pavel.surmenok.com/2017/09/23/jeff-deans-talk-on-large-scale-deep-learning/</link>
		<comments>http://pavel.surmenok.com/2017/09/23/jeff-deans-talk-on-large-scale-deep-learning/#comments</comments>
		<pubDate>Sun, 24 Sep 2017 01:27:56 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=276</guid>
		<description><![CDATA[Jeff Dean is a Google Senior Fellow. He leads the Google Brain project. He spoke at Y Combinator in August 2017. The video is available on YouTube, and slides on Scribd. Google uses machine learning almost everywhere. Jeff highlighted few most interesting applications, including machine translation. Recently they switched Google Translate to use deep neural [...]]]></description>
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		<title>Contextual Bandits and Reinforcement Learning</title>
		<link>http://pavel.surmenok.com/2017/08/26/contextual-bandits-and-reinforcement-learning/</link>
		<comments>http://pavel.surmenok.com/2017/08/26/contextual-bandits-and-reinforcement-learning/#comments</comments>
		<pubDate>Sun, 27 Aug 2017 00:56:14 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=271</guid>
		<description><![CDATA[If you develop personalization of user experience for your website or an app, contextual bandits can help you. Using contextual bandits, you can choose which content to display to the user, rank advertisements, optimize search results, select the best image to show on the page, and much more. There are many names for this class [...]]]></description>
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		<title>Open AI Deep Learning for DotA 2</title>
		<link>http://pavel.surmenok.com/2017/08/13/open-ai-deep-learning-for-dota-2/</link>
		<comments>http://pavel.surmenok.com/2017/08/13/open-ai-deep-learning-for-dota-2/#comments</comments>
		<pubDate>Mon, 14 Aug 2017 02:43:44 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=268</guid>
		<description><![CDATA[OpenAI’s bot is the first ever to defeat world’s best players in DotA 2 at The International 2017. It is a major step for AI in eSports. The bot was trained through self-play, but some tactics were hardcoded. The bot doesn’t play DotA in regular 5v5 setup. It can only beat humans in 1v1 play. [...]]]></description>
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		<title>Best Sources of Deep Learning News</title>
		<link>http://pavel.surmenok.com/2017/07/23/best-sources-of-deep-learning-news/</link>
		<comments>http://pavel.surmenok.com/2017/07/23/best-sources-of-deep-learning-news/#comments</comments>
		<pubDate>Sun, 23 Jul 2017 22:32:19 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=262</guid>
		<description><![CDATA[The field of deep learning is very active, arguably there are one or two breakthroughs every week. Research papers, industry news, startups, and investments. How to keep up with the news? There are a few newsletters with well-curated links and summaries: Import AI The Wild Week in AI InsideAI This Week in Machine Learning News [...]]]></description>
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		<title>Large Text Classification Datasets</title>
		<link>http://pavel.surmenok.com/2017/07/21/large-text-classification-datasets/</link>
		<comments>http://pavel.surmenok.com/2017/07/21/large-text-classification-datasets/#comments</comments>
		<pubDate>Fri, 21 Jul 2017 07:29:49 +0000</pubDate>
		<dc:creator>pavel</dc:creator>
				<category><![CDATA[Tech]]></category>

		<guid isPermaLink="false">http://pavel.surmenok.com/?p=259</guid>
		<description><![CDATA[Data is the most important component for building a machine learning model. Recently researchers from Google trained a CNN model for image classification on 300 million images and they demonstrated that even on a scale of hundreds of millions of examples adding more data helps to improve the model performance. Apparently, more data is better. But [...]]]></description>
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