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docs/index.html

@@ -595,7 +595,6 @@ <h2 id="toc-title">Table of contents</h2>
   <li><a href="#preface" id="toc-preface" class="nav-link active" data-scroll-target="#preface">Preface</a></li>
   <li><a href="#why-we-wrote-this-book" id="toc-why-we-wrote-this-book" class="nav-link" data-scroll-target="#why-we-wrote-this-book">Why We Wrote This Book</a></li>
   <li><a href="#what-youll-need-to-know" id="toc-what-youll-need-to-know" class="nav-link" data-scroll-target="#what-youll-need-to-know">What You’ll Need to Know</a></li>
-  <li><a href="#book-conventions" id="toc-book-conventions" class="nav-link" data-scroll-target="#book-conventions">Book Conventions</a></li>
   <li><a href="#content-transparency-statement" id="toc-content-transparency-statement" class="nav-link" data-scroll-target="#content-transparency-statement">Content Transparency Statement</a></li>
   <li><a href="#want-to-help-out" id="toc-want-to-help-out" class="nav-link" data-scroll-target="#want-to-help-out">Want to Help Out?</a></li>
   <li><a href="#get-in-touch" id="toc-get-in-touch" class="nav-link" data-scroll-target="#get-in-touch">Get in Touch</a></li>
@@ -671,10 +670,6 @@ <h1>Why We Wrote This Book</h1>
 <h1>What You’ll Need to Know</h1>
 <p>To dive into this book, you don’t need to be an AI expert. All you need is a basic understanding of computer science concepts and a curiosity to explore how AI systems work. This is where innovation happens, and a basic grasp of programming and data structures will be your compass.</p>
 </section>
-<section id="book-conventions" class="level1">
-<h1>Book Conventions</h1>
-<p>For details on the conventions used in this book, check out the <a href="./contents/conventions.qmd">Conventions</a> section.</p>
-</section>
 <section id="content-transparency-statement" class="level1">
 <h1>Content Transparency Statement</h1>
 <p>This book is a community-driven project, with content generated collaboratively by numerous contributors over time. The content creation process may have involved various editing tools, including generative AI technology. As the main author, editor, and curator, Prof.&nbsp;Vijay Janapa Reddi maintains human oversight and editorial oversight to make sure the content is accurate and relevant. However, no one is perfect, so inaccuracies may still exist. We highly value your feedback and encourage you to provide corrections or suggestions. This collaborative approach is crucial for enhancing and maintaining the quality of the content contained within and making high-quality information globally accessible.</p>

docs/search.json

@@ -4,7 +4,7 @@
     "href": "index.html",
     "title": "Machine Learning Systems",
     "section": "",
-    "text": "Preface\nWelcome to Machine Learning Systems. This book is your gateway to the fast-paced world of AI systems. It is an extension of the course CS249r at Harvard University.\n\nWe have created this open-source book as a collaborative effort to bring together insights from students, professionals, and the broader community of AI practitioners. Our goal is to develop a comprehensive guide that explores the intricacies of AI systems and their numerous applications.\n\n“If you want to go fast, go alone. If you want to go far, go together.” – African Proverb\n\nThis isn’t a static textbook; it’s a living, breathing document. We’re making it open-source and continuously updated to meet the ever-changing needs of this dynamic field. Expect a rich blend of expert knowledge that guides you through the complex interplay between cutting-edge algorithms and the foundational principles that make them work. We’re setting the stage for the next big leap in AI innovation.\n\n\nWhy We Wrote This Book\nWe’re in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That’s the spirit behind this effort. We go beyond the traditional textbook model to create a living knowledge hub, so that we can all share and learn from one another.\nThe book focuses on AI systems’ principles and case studies, aiming to give you a deep understanding that will help you navigate the ever-changing landscape of AI systems. By keeping it open, we’re not just making learning accessible but inviting new ideas and ongoing improvements. In short, we’re building a community where knowledge is free to grow and light the way forward in global AI technology.\n\n\nWhat You’ll Need to Know\nTo dive into this book, you don’t need to be an AI expert. All you need is a basic understanding of computer science concepts and a curiosity to explore how AI systems work. This is where innovation happens, and a basic grasp of programming and data structures will be your compass.\n\n\nBook Conventions\nFor details on the conventions used in this book, check out the Conventions section.\n\n\nContent Transparency Statement\nThis book is a community-driven project, with content generated collaboratively by numerous contributors over time. The content creation process may have involved various editing tools, including generative AI technology. As the main author, editor, and curator, Prof. Vijay Janapa Reddi maintains human oversight and editorial oversight to make sure the content is accurate and relevant. However, no one is perfect, so inaccuracies may still exist. We highly value your feedback and encourage you to provide corrections or suggestions. This collaborative approach is crucial for enhancing and maintaining the quality of the content contained within and making high-quality information globally accessible.\n\n\nWant to Help Out?\nIf you’re interested in contributing, you can find the guidelines here.\n\n\nGet in Touch\nDo you have questions or feedback? Feel free to e-mail Prof. Vijay Janapa Reddi directly, or you are welcome to start a discussion thread on GitHub.\n\n\nContributors\nA big thanks to everyone who’s helped make this book what it is! You can see the full list of individual contributors here and additional GitHub style details here. Join us as a contributor!",
+    "text": "Preface\nWelcome to Machine Learning Systems. This book is your gateway to the fast-paced world of AI systems. It is an extension of the course CS249r at Harvard University.\n\nWe have created this open-source book as a collaborative effort to bring together insights from students, professionals, and the broader community of AI practitioners. Our goal is to develop a comprehensive guide that explores the intricacies of AI systems and their numerous applications.\n\n“If you want to go fast, go alone. If you want to go far, go together.” – African Proverb\n\nThis isn’t a static textbook; it’s a living, breathing document. We’re making it open-source and continuously updated to meet the ever-changing needs of this dynamic field. Expect a rich blend of expert knowledge that guides you through the complex interplay between cutting-edge algorithms and the foundational principles that make them work. We’re setting the stage for the next big leap in AI innovation.\n\n\nWhy We Wrote This Book\nWe’re in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That’s the spirit behind this effort. We go beyond the traditional textbook model to create a living knowledge hub, so that we can all share and learn from one another.\nThe book focuses on AI systems’ principles and case studies, aiming to give you a deep understanding that will help you navigate the ever-changing landscape of AI systems. By keeping it open, we’re not just making learning accessible but inviting new ideas and ongoing improvements. In short, we’re building a community where knowledge is free to grow and light the way forward in global AI technology.\n\n\nWhat You’ll Need to Know\nTo dive into this book, you don’t need to be an AI expert. All you need is a basic understanding of computer science concepts and a curiosity to explore how AI systems work. This is where innovation happens, and a basic grasp of programming and data structures will be your compass.\n\n\nContent Transparency Statement\nThis book is a community-driven project, with content generated collaboratively by numerous contributors over time. The content creation process may have involved various editing tools, including generative AI technology. As the main author, editor, and curator, Prof. Vijay Janapa Reddi maintains human oversight and editorial oversight to make sure the content is accurate and relevant. However, no one is perfect, so inaccuracies may still exist. We highly value your feedback and encourage you to provide corrections or suggestions. This collaborative approach is crucial for enhancing and maintaining the quality of the content contained within and making high-quality information globally accessible.\n\n\nWant to Help Out?\nIf you’re interested in contributing, you can find the guidelines here.\n\n\nGet in Touch\nDo you have questions or feedback? Feel free to e-mail Prof. Vijay Janapa Reddi directly, or you are welcome to start a discussion thread on GitHub.\n\n\nContributors\nA big thanks to everyone who’s helped make this book what it is! You can see the full list of individual contributors here and additional GitHub style details here. Join us as a contributor!",
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