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        <title><![CDATA[Stories by Mikhail Raevskiy on Medium]]></title>
        <description><![CDATA[Stories by Mikhail Raevskiy on Medium]]></description>
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            <title>Stories by Mikhail Raevskiy on Medium</title>
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        <item>
            <title><![CDATA[Golang — How to Get Started?]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.devgenius.io/golang-how-to-get-started-e1ade19a8249?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/946/1*aalqeu14E_G9-TCuy0nhdg.jpeg" width="946"></a></p><p class="medium-feed-snippet">If you are thinking of starting writing in Go, here&#x2019;s what you should know</p><p class="medium-feed-link"><a href="https://blog.devgenius.io/golang-how-to-get-started-e1ade19a8249?source=rss-e5a9ea3ddc9c------2">Continue reading on Dev Genius »</a></p></div>]]></description>
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            <category><![CDATA[golang]]></category>
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            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Sat, 03 Jan 2026 12:46:57 GMT</pubDate>
            <atom:updated>2026-01-03T12:46:57.318Z</atom:updated>
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            <title><![CDATA[DeformableRavens — New Google AI Toolbox for Robotics]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://ai.plainenglish.io/deformableravens-google-ai-toolbox-robotics-a521c774e173?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/1806/1*sInyqVKPnjbqHX8mCd5S_Q.png" width="1806"></a></p><p class="medium-feed-snippet">Recently Google AI team presented a set of neural networks, allowing robots to be trained to move multi-dimensional objects</p><p class="medium-feed-link"><a href="https://ai.plainenglish.io/deformableravens-google-ai-toolbox-robotics-a521c774e173?source=rss-e5a9ea3ddc9c------2">Continue reading on Artificial Intelligence in Plain English »</a></p></div>]]></description>
            <link>https://ai.plainenglish.io/deformableravens-google-ai-toolbox-robotics-a521c774e173?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[computer-vision]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Wed, 19 May 2021 10:17:44 GMT</pubDate>
            <atom:updated>2025-11-15T04:44:24.785Z</atom:updated>
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            <title><![CDATA[Create Better Data Visualizations with Python and Dash]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://python.plainenglish.io/python-dash-guide-to-better-data-visualization-fed536479871?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/2000/0*tIFNnqhfP_bhU0hn.jpg" width="2000"></a></p><p class="medium-feed-snippet">How to use Python and Dash library to create, style, and host an interactive data analysis web application.</p><p class="medium-feed-link"><a href="https://python.plainenglish.io/python-dash-guide-to-better-data-visualization-fed536479871?source=rss-e5a9ea3ddc9c------2">Continue reading on Python in Plain English »</a></p></div>]]></description>
            <link>https://python.plainenglish.io/python-dash-guide-to-better-data-visualization-fed536479871?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[data-visualization]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[programming]]></category>
            <category><![CDATA[web-development]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Mon, 17 May 2021 11:34:11 GMT</pubDate>
            <atom:updated>2021-05-18T22:06:27.954Z</atom:updated>
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            <title><![CDATA[New AI Reproduces Sketch Drawing Process]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.datadriveninvestor.com/new-ai-reproduces-sketch-drawing-process-29ba1acf5059?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/820/0*RlELQj5kox67hTy_.gif" width="820"></a></p><p class="medium-feed-snippet">Researchers at Huawei Hisilicon propose a new method for generating a realistic image-based sketch</p><p class="medium-feed-link"><a href="https://medium.datadriveninvestor.com/new-ai-reproduces-sketch-drawing-process-29ba1acf5059?source=rss-e5a9ea3ddc9c------2">Continue reading on DataDrivenInvestor »</a></p></div>]]></description>
            <link>https://medium.datadriveninvestor.com/new-ai-reproduces-sketch-drawing-process-29ba1acf5059?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Mon, 21 Dec 2020 12:03:13 GMT</pubDate>
            <atom:updated>2020-12-27T04:54:38.337Z</atom:updated>
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            <title><![CDATA[ 5 JavaScript Tools for Financial Data Visualization]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://javascript.plainenglish.io/5-javascript-tools-for-financial-data-visualization-68a0463fbb04?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/2600/0*HmNeddfxgS_uK23s" width="6000"></a></p><p class="medium-feed-snippet">Leading data visualization tools to convey complex information</p><p class="medium-feed-link"><a href="https://javascript.plainenglish.io/5-javascript-tools-for-financial-data-visualization-68a0463fbb04?source=rss-e5a9ea3ddc9c------2">Continue reading on JavaScript in Plain English »</a></p></div>]]></description>
            <link>https://javascript.plainenglish.io/5-javascript-tools-for-financial-data-visualization-68a0463fbb04?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[stock-market]]></category>
            <category><![CDATA[finance]]></category>
            <category><![CDATA[javascript]]></category>
            <category><![CDATA[data-visualization]]></category>
            <category><![CDATA[software-development]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Fri, 11 Dec 2020 14:57:47 GMT</pubDate>
            <atom:updated>2025-11-14T15:54:51.485Z</atom:updated>
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            <title><![CDATA[CompressAI — PyTorch Library for Compression Models]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://raevskymichail.medium.com/compressai-pytorch-data-compression-242c8b458f10?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/1747/1*O4dy9r8TgzT85HnD3cDS6Q.png" width="1747"></a></p><p class="medium-feed-snippet">CompressAI is an open-source library and platform for evaluating data compression models.</p><p class="medium-feed-link"><a href="https://raevskymichail.medium.com/compressai-pytorch-data-compression-242c8b458f10?source=rss-e5a9ea3ddc9c------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://raevskymichail.medium.com/compressai-pytorch-data-compression-242c8b458f10?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[deep-learning]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Thu, 10 Dec 2020 14:57:28 GMT</pubDate>
            <atom:updated>2020-12-10T14:57:28.684Z</atom:updated>
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            <title><![CDATA[Python vs. R — What to Choose for Data Science?]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://raevskymichail.medium.com/python-vs-r-what-to-choose-data-science-bf17804fca30?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/2600/1*E_vyQ-SgKFoLU1MvHEO1dw.png" width="8000"></a></p><p class="medium-feed-snippet">Detailed comparison of Python and R languages for use in Data Science</p><p class="medium-feed-link"><a href="https://raevskymichail.medium.com/python-vs-r-what-to-choose-data-science-bf17804fca30?source=rss-e5a9ea3ddc9c------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://raevskymichail.medium.com/python-vs-r-what-to-choose-data-science-bf17804fca30?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[programming]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[statistics]]></category>
            <category><![CDATA[python]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Tue, 08 Dec 2020 11:48:00 GMT</pubDate>
            <atom:updated>2020-12-08T11:48:00.497Z</atom:updated>
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            <title><![CDATA[Deepfakes Detection by Heart Rate Prediction]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.datadriveninvestor.com/deepfakes-detection-by-heart-rate-prediction-d96d8843a14b?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/1918/1*CPqbsByJkLfN99O4ts3-MQ.png" width="1918"></a></p><p class="medium-feed-snippet">How do the hearts of deep fakes beat? A new approach for deep fake detection via interpreting residuals with biological signals</p><p class="medium-feed-link"><a href="https://medium.datadriveninvestor.com/deepfakes-detection-by-heart-rate-prediction-d96d8843a14b?source=rss-e5a9ea3ddc9c------2">Continue reading on DataDrivenInvestor »</a></p></div>]]></description>
            <link>https://medium.datadriveninvestor.com/deepfakes-detection-by-heart-rate-prediction-d96d8843a14b?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Mon, 07 Dec 2020 12:13:07 GMT</pubDate>
            <atom:updated>2020-12-08T16:29:39.485Z</atom:updated>
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            <title><![CDATA[FrankMocap — New  SOTA for Fast 3D Pose Estimation]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/swlh/frankmocap-sota-3d-pose-estimation-87b679419e74?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/1919/1*3Z3ACcPmqFFysCJSjvrRaw.png" width="1919"></a></p><p class="medium-feed-snippet">FrankMocap allows real-time assessment of human hand and body movements in 3D on video recording from one angle.</p><p class="medium-feed-link"><a href="https://medium.com/swlh/frankmocap-sota-3d-pose-estimation-87b679419e74?source=rss-e5a9ea3ddc9c------2">Continue reading on The Startup »</a></p></div>]]></description>
            <link>https://medium.com/swlh/frankmocap-sota-3d-pose-estimation-87b679419e74?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[deep-learning]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Tue, 01 Dec 2020 12:11:19 GMT</pubDate>
            <atom:updated>2020-12-13T21:12:46.706Z</atom:updated>
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            <title><![CDATA[Objectron: Real-Time 3D Object Detection with Smartphone]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/deep-learning-digest/objectron-real-time-3d-object-detection-e5a689cc12f6?source=rss-e5a9ea3ddc9c------2"><img src="https://cdn-images-1.medium.com/max/605/1*dZdu0BQutB9O-Lud7QJsaA.gif" width="605"></a></p><p class="medium-feed-snippet">Objectron is a new SOTA dataset, recently presented by Google AI, which intended to improve 3D object recognition in videos.</p><p class="medium-feed-link"><a href="https://medium.com/deep-learning-digest/objectron-real-time-3d-object-detection-e5a689cc12f6?source=rss-e5a9ea3ddc9c------2">Continue reading on Deep Learning Digest »</a></p></div>]]></description>
            <link>https://medium.com/deep-learning-digest/objectron-real-time-3d-object-detection-e5a689cc12f6?source=rss-e5a9ea3ddc9c------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[computer-vision]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <dc:creator><![CDATA[Mikhail Raevskiy]]></dc:creator>
            <pubDate>Wed, 25 Nov 2020 10:57:46 GMT</pubDate>
            <atom:updated>2020-11-25T10:57:46.995Z</atom:updated>
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