1<!DOCTYPE HTML> 2<html lang="en"> 3<head> 4 <title>Reading List | Hrishikesh Viswanath</title> 5 <meta charset="utf-8"> 6 <meta name="viewport" content="width=device-width, initial-scale=1"> 7 <link rel="stylesheet" type="text/css" href="/style.css" /> 8 <link href="https://fonts.googleapis.com/css?family=Lato:400,700" rel="stylesheet" type="text/css"> 9 <style> 10 .reading-list { list-style-type: none; padding-left: 0; } 11 .reading-list li { margin-bottom: 1.5em; line-height: 1.4; } 12 .reading-list a { text-decoration: none; color: #1772d0; font-weight: bold; font-size: 1.1em; } 13 .reading-list a:hover { text-decoration: underline; } 14 .author { font-style: italic; color: #555; display: block; margin-top: 4px; } 15 </style> 16</head> 17<body> 18 <table style="width:100%;max-width:800px;border:0px;margin:auto;border-spacing:0px;border-collapse:separate;"> 19 <tr> 20 <td style="padding:5%"> 21 <a href="index.html" style="font-size: 14px;">â Back to Home</a> 22 <h1 style="margin-top:20px">Reading List</h1> 23 <p>A curated collection of foundational textbooks and resources related to Machine Learning, Optimization, Physics-based Deep Learning, and Computer Graphics.</p> 24 25 <hr style="border:0; border-top:1px solid #eee; margin:30px 0;"> 26 27 <ul class="reading-list"> 28 <li> 29 <a href="https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf">Pattern Recognition and Machine Learning</a> 30 <span class="author">Christopher M. Bishop</span> 31 </li> 32 <li> 33 <a href="http://box.cs.istu.ru/public/docs/other/_New/Books/Misc/Principles%20of%20Data%20Mining.pdf">Principles of Data Mining</a> 34 <span class="author">David Hand, Heikki Mannila and Padhraic Smyth</span> 35 </li> 36 <li> 37 <a href="https://www.cambridge.org/core/books/randomized-algorithms/6A3E5CD760B0DDBA3794A100EE2843E8">Randomized Algorithms</a> 38 <span class="author">Rajeev Motwani and Prabhakar Raghavan</span> 39 </li> 40 <li> 41 <a href="https://web.stanford.edu/~boyd/cvxbook/">Convex Optimization</a> 42 <span class="author">Stephen Boyd and Lieven Vandenberghe</span> 43 </li> 44 <li> 45 <a href="https://physicsbaseddeeplearning.org/">Physics-based Deep Learning</a> 46 <span class="author">N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um</span> 47 </li> 48 <li> 49 <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781491962282/">Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow</a> 50 <span class="author">Aurélien Géron</span> 51 </li> 52 <li> 53 <a href="http://aima.cs.berkeley.edu/">Artificial Intelligence - A Modern Approach</a> 54 <span class="author">Stuart J. Russell and Peter Norvig</span> 55 </li> 56 <li>
57 <a href="https://www.pearson.com/en-us/subject-catalog/p/digital-image-processing/P200000003224?view=educator">Digital Image Processing</a> 58 <span class="author">Rafael C. Gonzalez and Richard E. Woods</span> 59 </li> 60 <li> 61 <a href="https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On">Deep Reinforcement Learning Hands-On</a> 62 <span class="author">Maxim Lapan</span> 63 </li> 64 <li> 65 <a href="https://www.amazon.com/Computer-Graphics-3rd-Alan-Watt/dp/0201398559">3D Computer Graphics</a> 66 <span class="author">Alan Watt</span> 67 </li> 68 </ul> 69 70 </td> 71 </tr> 72 </table> 73</body> 74</html>
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