<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Netvouz / henrik / tag / machine</title>
<link>http://www.netvouz.com/henrik/tag/machine?feed=rss</link>
<description>henrik&#39;s bookmarks tagged &quot;machine&quot; on Netvouz</description>
<item><title>Machine Learning Mastery FAQ</title>
<link>https://machinelearningmastery.com/faq/</link>
<description>Frequently Asked Questions from machine learning mastery site</description>
<category domain="http://www.netvouz.com/henrik?category=5419735123151897888">Artificial Intelligence AI &gt; Training and courses</category>
<author>henrik</author>
<pubDate>Sat, 31 Aug 2019 09:31:21 GMT</pubDate>
</item><item><title>GitHub - zllrunning/video-object-removal</title>
<link>https://github.com/zllrunning/video-object-removal</link>
<description>Just draw a bounding box and you can remove the object you want to remove.</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Mon, 22 Jul 2019 08:12:00 GMT</pubDate>
</item><item><title>How to Develop LSTM Models for Time Series Forecasting</title>
<link>https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/</link>
<description>Long Short-Term Memory networks, or LSTMs for short, can be applied to time series forecasting. There are many types of LSTM models that can be used for each specific type of time series forecasting problem. In this tutorial, you will discover how to develop a suite of LSTM models for a range of standard time series forecasting problems.</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Fri, 30 Aug 2019 21:19:44 GMT</pubDate>
</item><item><title>Machine Learning Crash Course  |  Google Developers</title>
<link>https://developers.google.com/machine-learning/crash-course/</link>
<description>A self-study guide for aspiring machine learning practitioners Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.</description>
<category domain="http://www.netvouz.com/henrik?category=5419735123151897888">Artificial Intelligence AI &gt; Training and courses</category>
<author>henrik</author>
<pubDate>Wed, 07 Mar 2018 18:17:38 GMT</pubDate>
</item><item><title>Machine Learning Explained</title>
<link>https://blog.dataiku.com/machine-learning-explained-algorithms-are-your-friend?utm_campaign=CONTENT%20Nurturing%20Workflows%202018&amp;utm_source=hs_automation&amp;utm_medium=email&amp;utm_content=67298079&amp;_hsenc=p2ANqtz-_1d2XTyhjmotJ_AWYmEhdNWVQt2Q5nc8uxzSlgP2kZccWa6uVsIRG7pe2kg1aC0H6QOizMQZqzo2lhKjW2kn9aMvVe_g&amp;_hsmi=67298079</link>
<description>Algorithms Are Your Friend</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Thu, 28 Nov 2019 23:05:47 GMT</pubDate>
</item><item><title>Predicting blood glucose using Tensorflow</title>
<link>https://github.com/johnmartinsson/blood-glucose-prediction</link>
<description>johnmartinsson/blood-glucose-prediction</description>
<category domain="http://www.netvouz.com/henrik?category=7334635265544042171">Hälsa &gt; Diabetes, Gluten</category>
<author>henrik</author>
<pubDate>Tue, 04 Sep 2018 13:04:18 GMT</pubDate>
</item><item><title>Predicting Stock Price with LSTM - Towards Data Science</title>
<link>https://towardsdatascience.com/predicting-stock-price-with-lstm-13af86a74944</link>
<description>Machine learning has found its applications in many interesting fields over these years. Taming stock market is one of them. I had been thinking of giving it a shot for quite some time now; mostly to solidify my working knowledge of LSTMs. And finally I have finished the project and quite excited to share my experience.</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Mon, 22 Jul 2019 10:57:40 GMT</pubDate>
</item><item><title>Sophistication of AI Technologies</title>
<link>https://research.hubspot.com/charts/sophistication-of-ai-technologies</link>
<description>Overview of several artificial technologies available on the market. Siri, Cortana, Alexa, Tay, Watson and others</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Fri, 13 Jan 2017 13:46:49 GMT</pubDate>
</item><item><title>Stanford Machine Learning | Coursera</title>
<link>https://www.coursera.org/learn/machine-learning/home/welcome</link>
<description>Machine Learning course from Stanford University @ coursera</description>
<category domain="http://www.netvouz.com/henrik?category=3788618044265731538">Development &gt; Machine Learning</category>
<author>henrik</author>
<pubDate>Mon, 20 Feb 2017 14:00:26 GMT</pubDate>
</item><item><title>Stock Market Prediction by Recurrent Neural Network on LSTM Model</title>
<link>https://blog.usejournal.com/stock-market-prediction-by-recurrent-neural-network-on-lstm-model-56de700bff68</link>
<description>The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. In fact, investors are highly interested in the research area of stock price prediction. For a good and successful investment, many investors are keen on knowing the future situation of the stock market. Good and effective prediction systems for stock market help traders, investors, and analyst by providing supportive information like the future direction of the stock market. In this work, we present a recurrent neural network (RNN) and Long Short-Term Memory (LSTM) approach to predict stock market indices.</description>
<category domain="http://www.netvouz.com/henrik?category=968349102261480250">Artificial Intelligence AI</category>
<author>henrik</author>
<pubDate>Mon, 22 Jul 2019 10:53:46 GMT</pubDate>
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