Algorithmic Composition

Exploring the influence of AI technologies on theories of reason, cognition, learning, and educationLearning Under Algorithmic Conditions presents twenty-seven concise essays that collectively chart the shifting terrain of learning in the age of artificial intelligence. Providing historical and philosophical context, this innovative volume features prominent scholars from the fields of media studies, philosophy, and education research, who shed light on how learning has become newly envisioned, machinic, and more-than-human. The contributors unravel various histories of machine intelligence and elucidate the current impact of machine learning technologies on practices of knowledge production. Teeming with theoretical and practical insights, Learning Under Algorithmic Conditions is an interdisciplinary guide for those working across the humanities and social sciences as well as anyone interested in understanding our changing social, political, and technical infrastructures.Contributors:

Operations Research uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.

Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

《LangChain大模型應用開發從入門到實踐》深入講解了 LangChain 大模型應用開發與實戰的核心知識。全書共 10 章，分別介紹了LangChain 與大型語言模型、第一個 LangChain 程序、模型 I/O 與數據增強、輸出解析器、檢索增強生成、Composition(組合)、操作國產大模型、基於《哈利‧波特》系列圖書內容的問答系統、基於 RAG的法律法規解析系統、基於本地知識庫的自動問答系統。《LangChain大模型應用開發從入門到實踐》內容簡潔且不失其技術深度，豐富全面且易於閱讀，用簡潔的文字闡述複雜案例，便於讀者學習和理解，適合已經掌握 Python 語言基礎語法的讀者，對於希望進一步學習大模型開發、自然語言處理、機器學習、深度學習技術的讀者尤為適宜。同時，本書也可作為高等院校相關專業的教材和培訓機構的專業教材。

From the Canadian couple behind Planted in the Garden, a how-to guide for small-space vegetable gardeningChar and Marv are urban gardeners on a mission to prove that you don’t need a lot of land to produce a bountiful harvest of homegrown vegetables. Using the lessons learned in their small-but-mighty Toronto garden, they offer first-time gardeners practical and accessible guidance for starting a vegetable plot of their own. From soil composition to irrigation solutions, The Compact Garden provides step-by-step instructions for gardening success at every stage.*Create a small-space garden: Learn how to set up raised beds, containers, and vertical gardens to maximise growing space both indoors and outdoors.*Grow beginner-friendly veggies: Discover which crops are easy to grow and low maintenance, including tomatoes, cucumbers, lettuces, beans, peas, and more.*Harvest organic produce at home: Manage pests and fertilise plants without the use of synthetic chemicals.With plentiful photos,