/home/leansigm/public_html/components/com_easyblog/services<title>What 2016 holds for Machine Learning?</title>
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	<h1>What 2016 holds for Machine Learning?</h1>
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			<span class="post-date">Jan 29</span>

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				Posted by <a href="/forum/user/431-nitin-sinha">Nitin Sinha</a>				in <a href="/blog/categories/technology">Technology</a>			</span>
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	<p>The evolution of Machine Learning (ML) is affected by the approach of the tech giants towards it. Open Source Platforms and the data sources also have an important impact on the ML models. Tech giants have realized the importance of ML, and this is becoming the new normal for them. They are now focusing on providing ML models as a Service. These are built for the common usage, not just for the data scientists. Most of the softwares being used for ML are open sources, thus affecting the market of other softwares making sources. Tools like Apache Spark are going to dominate the market. Read more about it on:&nbsp;<a href="http://www.infoworld.com/article/3017251/data-science/what-machine-learning-will-gain-in-2016.html" target="_blank" data-science="">http://www.infoworld.com/article/3017251/data-science/what-machine-learning-will-gain-in-2016.html</a></p></div>

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		<a href="/blog/tags/machine-learning">
		<span itemprop="keywords">machine-learning</span>
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		<a href="/blog/tags/apache-spark">
		<span itemprop="keywords">Apache Spark</span>
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		<a href="/blog/tags/machine-learning-models">
		<span itemprop="keywords">Machine Learning models</span>
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