Computer Science Programming Basics in Ruby

The newest addition to the wildly successful Big Fat Notebook series, with 3.99 million copies in print: a lively, information-packed, and fully illustrated guide to Computer Science and Coding for mi

探討如何將電腦科學中的演算法原理應用到日常生活與人類決策中。作者結合心理學、認知科學與計算機科學，說明演算法不僅是電腦解題的工具，更是我們在面對生活難題時可借鑑的思考模型。本書涵蓋多種實用議題，透過演算法的視角來處理生活中的決策與權衡，例如：➤最佳停下時機（Optimal Stopping）：如何判斷在眾多選項中何時停止尋找並做出決定，如招聘或約會。➤探索與利用的平衡（Explore-Exploit Trade-off）：何時探索新機會，何時利用已知資源。➤排序與組織：提升查找效率的策略。➤快取管理：如何在有限記憶空間中有效保留重要資訊。➤工作排程與切換成本：如何管理多任務與優先順序。➤貝氏定理（Bayes's Rule）：結合先驗知識與新資訊做出推論。➤放寬問題限制：在無解或計算困難的情況下，尋求「夠好」的近似解。➤隨機性與資源管理：利用隨機策略在不確定環境下取得良好結果。➤網絡與遊戲理論：理解互動系統與多方利益的決策動態。書中強調，雖然演算法能為複雜問題提供指導，但現實生活中決策仍存在不確定性和失敗風險。重要的是採用合理的策略來面對時間與資源限制，並學習在不完美中作出最佳抉擇。該書還指出，人類在面對計算難題時，常能透過直覺和簡化模型達成驚人的表現。此書獲得廣泛好評，被譽為一本能讓人重新認識「演算法」不僅屬於科技領域，更是生活智慧的指導手冊。A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tas

Funny and totally true childhood biographies and full-color illustrations tell tales from the challenging yet defining growing-up years of Albert Einstein, Jane Goodall, Marie Curie, and 12 other brilliant scientists.Every great scientist started out as a kid. Before their experiments, inventions, and discoveries that changed the world, the world's most celebrated scientists had regular-kid problems just like you.*Stephen Hawking hated school, and preferred to spend his free time building model airplanes, inventing board games, and even building his own computer.*Jane Goodall got in trouble for bringing worms and snails into her house.*And Neil deGrasse Tyson had to start a dog-walking business to save up money to buy a telescope.Readers ages 8 to 12 years old will learn all the stories of a diverse and inclusive group—also including Temple Grandin, Nikola Tesla, Ada Lovelace, Benjamin Franklin, Isaac Newton, Rosalind Franklin, Sally Ride, Rachel Carson, George Washington Carver, and V

Plug in to the often mind-blowing world of artificial intelligence.How can a machine write a story? Are computers now cleverer than people? Could a robot do your shopping? Discover all the things that artificial intelligence can already do (and the things it can't).- Packed full of flaps to lift- Explores the opportunities - and risks - that AI could bring- Written in consultation with Professor Michael Wooldridge, from Oxford University's Department of Computer Science- Part of Usborne's See Inside Series which contains over 50 books, covering everything from space to Ancient Greece, the human body and evolution

'Joins the dots in a neglected narrative of female scientists, visionaries and code-breakers'ObserverHow is artificial intelligence changing the way we live and love? Now with a new chapter, this is the eye-opening book fromSunday Timesbestselling author Jeanette Winterson.Drawing on her years of thinking and reading about AI, Jeanette Winterson looks to history, religion, myth, literature, politics and, of course, computer science to help us understand the radical changes to the way we live and love that are happening now.With wit, compassion and curiosity, Winterson tackles AI's most interesting talking points - from the weirdness of backing up your brain and the connections between humans and non-human helpers to whether it's time to leave planet Earth.'Very funny... A kind of comparative mythology, where the hype and ideology of cutting-edge tech is read through the lens of far older stories'Spectator'Refreshingly optimistic'Guardian

史上最強系列之《電腦之書》從西元前兩千年的蘇美算盤，到個人電腦的發明，乃至21世紀的臉書等網路社群250則趣味的電腦科學故事＋詳解歷史＋精采圖片從閱讀中學習科學知識的百科一本圖文並茂的電腦科學百科．一本博古通今的資訊科技發展史一本趣味橫生的電腦科學故事．一本條理分明的資訊科技資料庫關於電腦科學世界裡最重要、最有趣的故事盡在其中電腦已經滲透到我們生活各個層面。原本只用於破解納粹密碼、發展核彈的技術，

When computer programming pioneer Admiral Grace Hopper discovered a moth causing problems in a mechanical computer, the term debugging was born. This book explores how fixing programming and hardware