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books.qmd
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---
listing:
- id: open-access-books
contents: books/*.qmd
type: grid
grid-columns: 2
image-height: "440px"
sort: "title asc"
sort-ui: false
- id: non-open-access-books
type: grid
grid-columns: 2
image-height: "440px"
sort: "title asc"
sort-ui: false
contents:
- path: https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/
image: /books/images/handson-llm.jpg
title: "Hands-On Large Language Models"
description: |
AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today. You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings.
date: "2024-09-01"
author:
- Jay Alammar
- Maarten Grootendorst
- path: https://www.oreilly.com/library/view/designing-data-intensive-applications/9781491903063/
image: /books/images/designing-data-intensive-applications.jpg
title: "Designing Data-Intensive Applications"
description: |
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
date: "2017-03-01"
author: Martin Kleppmann
- path: https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/
image: /books/images/handson-ml3.jpg
title: "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition"
description: |
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.
date: "2022-10-01"
author: Aurélien Géron
---
:::{.panel-tabset}
## Open access books
::: {#open-access-books}
:::
## Non-open access books
::: {#non-open-access-books}
:::
:::