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@@ -77,8 +77,15 @@ Edition: 1st &emsp; Pages: 532 &emsp; Language: English<br/>
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- Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
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- Apply a wide range of machine learning models including regression, classification, and clustering.
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- Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.
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## Audience
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This book has been specially written for IT professionals, analysts, developers, data scientists, engineers, graduate students and anyone with an interest to analyze and derive insights from data!
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<br>
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## Acknowledgements
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TBA
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<br>
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## Powered by the following frameworks
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<div>
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<a target="_blank" href="https://anaconda.org/"><img src="./media/banners/anaconda_logo.jpg" alt="anaconda" align="left"/></a>
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<a target="_blank" href="https://www.crummy.com/software/BeautifulSoup/bs4/doc/"><img src="./media/banners/bs_logo.jpg" alt="beautiful soup" align="left"/></a>
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</div>
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<br><br><br>
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## Audience
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This book has been specially written for IT professionals, analysts, developers, data scientists, engineers, graduate students and anyone with an interest to analyze and derive insights from data!
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<br>
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## Acknowledgements
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TBA
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<br>
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