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Computer Science.html
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<html>
<!doctype html>
<head>
<link rel="stylesheet" href="css/style.css">
<title>COMPUTER SCIENCE</title>
</head>
<body>
<div class="nav">
<span class="logo"><a href="/"><img src="img/Infopedia.svg" alt="Logo"></a></span>
<span ><a class="nav-elem" href="/">Home</a></span>
<span > <a class="nav-elem abt-link" href="about.html">About</a></span>
<span ><a class="nav-elem cnt-link" href="contact.html">Contact</a></span>
<span ><a class="nav-elem nf-link" href="Computer Science/Computer Science (Free Books).html">Free E-books</a></span>
</div>
<h1> COMPUTER SCIENCE BOOKS</h1>
<table border = "2" align = "center">
<tr>
<td>NAME OF THE BOOK</td>
<td>AUTHOR</td>
<td>COVER PAGE</td>
<td>DESCRIPTION OF THE BOOK</td>
</tr>
<tr>
<td> HOW TO THINK LIKE A COMPUTER SCIENTISTS </td>
<td><a href = "https://en.wikipedia.org/wiki/Allen_B._Downey"> ALLEN B. DOWNEY </a></td>
<td><a href = "https://www.amazon.com/How-Think-Like-Computer-Scientist/dp/0971677506"><img src = "Computer Science\Computer Science images\1. How to think like a computer scientist.jpg" height="100%" width="100%"></a></td>
<td>"How to Think Like a Computer Scientist: Learning with Python" is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging.</td>
</tr>
<tr>
<td>THE NOT SO SHORT INTRODUCTION TO LATEX 2ε</td>
<td><a href = "https://tobi.oetiker.ch/vita.html">TOBIAS OETIKER</a></td>
<td><a href = "https://www.amazon.com/Latex-157-minutes-Short-Introduction/dp/9881443628/ref=sr_1_1?crid=3SIEKVNPD4OCC&keywords=the+not+so+short+introduction+to+latex&qid=1655892241&s=books&sprefix=the+not+so+short+introduction+to+late%2Cstripbooks-intl-ship%2C416&sr=1-1"><img src="Computer Science\Computer Science images\2. The Not So Short Introduction to LATEX 2E.gif" height = "100%" width="100%"></a></td>
<td>Latex is a typesetting system that is very suitable for producing scientific and mathematical documents of high typographical quality. It is also suitable for producing all sorts of other documents, from simple letters to complete books. Latex uses Tex as its formatting engine. This short introduction describes Latex and should be sufficient for most applications of Latex.</td>
</tr>
<tr>
<td>LEARN TO CODE HTML AND CSS</td>
<td><a href = "https://shayhowe.com/">SHAY HOWE</a></td>
<td><a href = "https://www.amazon.com/Learn-Code-HTML-CSS-Websites/dp/0321940520/ref=sr_1_1?crid=1X9J0ROKZK16M&keywords=LEARN+TO+CODE+HTML+AND+CSS&qid=1655892583&s=books&sprefix=learn+to+code+html+and+cs%2Cstripbooks-intl-ship%2C351&sr=1-1"><img src="Computer Science\Computer Science images\3. Learn to code HTML and CSS.jpg" height = "100%" width="100%"></a></td>
<td> Learn to Code HTML & CSS is a simple and comprehensive guide dedicated to helping beginners learn HTML and CSS. Outlining the fundamentals, this guide works through all common elements of front-end design and development. </td>
</tr>
<tr>
<td>UNDERSTANDING MACHINE LEARNING: FROM THEORY TO ALGORITHMS</td>
<td><a href = "https://www.cs.huji.ac.il/w~shais">SHAI SHALEV-SHWARTZ</a></td>
<td><a href = "https://www.amazon.in/Understanding-Machine-Learning-Theory-Algorithms-ebook/dp/B00J8LQU8I"><img src="Computer Science\Computer Science images\4. Understanding Machine Learning From Theory to Algorithms.jpg" height = "100%" width="100%"></a></td>
<td>Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.</td>
</tr>
<tr>
<td>DEEP LEARNING METHODS AND APPLICATIONS</td>
<td><a href = "https://www.ece.uw.edu/people/li-deng/">LI DENG</a></td>
<td><a href = "https://www.amazon.in/Deep-Learning-Applications-Foundations-Processing/dp/1601988141"><img src="Computer Science\Computer Science images\6. Deep Learning methods and applications.jpg" height = "100%" width="100%"></a></td>
<td>Microsoft researchers Li Deng and Dong Yu wrote this book. It provides an overview of deep learning methodologies and their application in a variety of signal and information processing tasks, such as automatic speech recognition (ASR), computer vision, language modeling, text processing, multimodal learning, and information retrieval.</td>
</tr>
</table>
<section class="footer ht-small">
<p class="last-txt">This website is made as a part of the CS102 lab</p>
<p class="just-last">by</p>
<p class="last-txt">Pranav Aayush and Abhinav</p>
</section>
</body>
</html>