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	<title>ai Archives - Hypi</title>
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	<description>No-code and Low-code serverless platform for mobile and web apps</description>
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		<title>Reading Text from Invoice Images with Python</title>
		<link>/2019/10/29/reading-text-from-invoice-images-with-python/</link>
					<comments>/2019/10/29/reading-text-from-invoice-images-with-python/#respond</comments>

		<dc:creator><![CDATA[Usman Malik]]></dc:creator>
		<pubDate>Tue, 29 Oct 2019 07:52:01 +0000</pubDate>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[ai]]></category>
		<category><![CDATA[entity-extraction]]></category>
		<category><![CDATA[entity-recognition]]></category>
		<category><![CDATA[invoice]]></category>
		<category><![CDATA[machine-learning]]></category>
		<category><![CDATA[pandas]]></category>
		<category><![CDATA[tesseract-ocr]]></category>
		<guid isPermaLink="false">/2020/07/10/reading-text-from-invoice-images-with-python/</guid>

					<description><![CDATA[<p>Introduction In this article, you will see how to read text from image invoices using Python programming language. Text invoices contain variety of information such as product names, VAT, product prices, vendor or customer names, tax information, the date of the transaction etc. The process of reading text from images is called Object Character Recognition<a class="more-link" href = "/wp/2019/10/29/reading-text-from-invoice-images-with-python/">Continue reading <span class="screen-reader-text">"Reading Text from Invoice Images with Python"</span></a></p>
<p>The post <a rel="nofollow" href = "/wp/2019/10/29/reading-text-from-invoice-images-with-python/">Reading Text from Invoice Images with Python</a> appeared first on <a rel="nofollow" href = "/wp/">Hypi</a>.</p>
]]></description>

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		<title>Evaluating a Car&#8217;s Condition with Machine Learning</title>
		<link>/2019/10/15/evaluating-a-cars-condition-with-machine-learning/</link>
					<comments>/2019/10/15/evaluating-a-cars-condition-with-machine-learning/#respond</comments>

		<dc:creator><![CDATA[Usman Malik]]></dc:creator>
		<pubDate>Tue, 15 Oct 2019 12:36:01 +0000</pubDate>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[ai]]></category>
		<category><![CDATA[colaboratory]]></category>
		<category><![CDATA[kaggle]]></category>
		<category><![CDATA[keras]]></category>
		<category><![CDATA[lstm]]></category>
		<category><![CDATA[machine-learning]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[pandas]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[spam]]></category>
		<guid isPermaLink="false">/2020/07/10/evaluating-a-cars-condition-with-machine-learning/</guid>

					<description><![CDATA[<p>Introduction Machine learning techniques, owing to their accuracy and precision, are being increasingly employed for decision making in a variety of scenarios. From stock purchases to marketing campaigns, organizations base their decisions on the insights obtained from data via machine learning techniques. This article demonstrates how machine learning automates the decision-making process of evaluating a<a class="more-link" href = "/wp/2019/10/15/evaluating-a-cars-condition-with-machine-learning/">Continue reading <span class="screen-reader-text">"Evaluating a Car&#8217;s Condition with Machine Learning"</span></a></p>
<p>The post <a rel="nofollow" href = "/wp/2019/10/15/evaluating-a-cars-condition-with-machine-learning/">Evaluating a Car&#8217;s Condition with Machine Learning</a> appeared first on <a rel="nofollow" href = "/wp/">Hypi</a>.</p>
]]></description>

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			</item>
		<item>
		<title>Text Classification with Deep Learning</title>
		<link>/2019/10/15/text-classification-with-deep-learning/</link>
					<comments>/2019/10/15/text-classification-with-deep-learning/#respond</comments>

		<dc:creator><![CDATA[Usman Malik]]></dc:creator>
		<pubDate>Tue, 15 Oct 2019 12:35:43 +0000</pubDate>
				<category><![CDATA[tutorials]]></category>
		<category><![CDATA[ai]]></category>
		<category><![CDATA[colaboratory]]></category>
		<category><![CDATA[deep-learning]]></category>
		<category><![CDATA[kaggle]]></category>
		<category><![CDATA[keras]]></category>
		<category><![CDATA[machine-learning]]></category>
		<category><![CDATA[matplotlib]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[pandas]]></category>
		<category><![CDATA[spam]]></category>
		<category><![CDATA[supervised-learning]]></category>
		<category><![CDATA[tensorflow]]></category>
		<guid isPermaLink="false">/2020/07/10/text-classification-with-deep-learning/</guid>

					<description><![CDATA[<p>Introduction Text classification is a supervised machine learning task where text documents are classified into different categories depending upon the content of the text. Some of the most common examples of text classification include sentimental analysis, spam or ham email detection, intent classification, public opinion mining, etc. Rule-based, machine learning and deep learning approaches have<a class="more-link" href = "/wp/2019/10/15/text-classification-with-deep-learning/">Continue reading <span class="screen-reader-text">"Text Classification with Deep Learning"</span></a></p>
<p>The post <a rel="nofollow" href = "/wp/2019/10/15/text-classification-with-deep-learning/">Text Classification with Deep Learning</a> appeared first on <a rel="nofollow" href = "/wp/">Hypi</a>.</p>
]]></description>

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