Python machine learning

Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machin

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, fin

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi

These contributions converge on an intersection of three historically distinct areas of learning research: computational learning theory, neural networks, and symbolic machine learning. Bridging theor

This second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. It

Python機器學習第三版（下） Python Machine Learning - Third Edition 第三版－最新修訂版，新增TensorFlow 2、GAN和強化學習等實用內容 使用Python的scikit-learn和TensorFlow 2融會貫通機器學習與深度學習 循序漸進、由淺入深，好評熱銷再進化！最新修訂的《Python機器學習第三版》是一本不容錯過的全方位指南，也是讀者

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?Machine learning-programming computers to learn from data-has spread across scientific d

國內外最具代表性案例兩大雲端應用、15項分類實例、9大專題實戰自然語言、文字識別、語音轉換、分析預測、物件自動標示、影像辦識真正實練！從資料收集整理、模型訓練調整，檢測修正到產出全面解秘！資料科學(Data Science)技術崛起後，人工智慧(Artificial Intelligence)、機器學習(Machine Learning)與深度學習(Deep Learning)儼然成為電腦科學最熱

This book delves into the design and implementation of IoT applications, showing how data analytics, machine learning, and AI enhance IoT efficiency and innovation. With a focus on automation, decision-making, and connectivity, it tackles challenges in various domains including healthcare, agriculture, and industrial automation.

Confessions of an AI Brain, Second Edition invites readers to not only to understand how AI works, but to imagine, question, and actively shape the kind of AI-enabled future they want to build. By framing AI as a narrator, the book ventures inside the mind of MIRANDA, a fictional yet technically grounded AI brain that narrates its own coming-of-age in a world saturated with algorithms, data, and digital infrastructure. Blending clear explanations with an engaging first-person voice, the book demystifies how modern AI systems are built, trained, deployed, and governed--without assuming any mathematical or programming background. Along the way, MIRANDA reflects on topics such as learning from data, bias and fairness, neurosymbolic reasoning, agentic AI, foundation models, digital twins, and the infrastructure that makes intelligent services possible.Rather than treating AI as a black box or distant threat, the narrative frames it as a partner in a shared human-machine ecosystem, explorin

The Pulitzer Prize–winning author of Trust turns to the future with a novel that examines the place of technology in the American imaginationCenturies from now, at the dawn of a historical epoch filled with both uncertainty and promise, an orphan is adrift in a city on the brink of a great transformation. The state has been dismantled, and humans are reinventing social bonds and learning new ways to coexist with nature. Following a childhood defined by loss, survival, and found family, the orphan grows up to become a “pincher,” someone who steals electricity from the grid to sell it on the black market. It’s a high-risk life, one that brings her into a rich downtown art and music scene where she powers underground concerts. It also leads her to a colossal scientific invention that could be either a contraption devised by a deranged mind or a machine that will change the very fabric of reality.After rewriting America’s past with his two previous novels, Hernan Diaz now gives us a glimps

本書循序漸進、深入系統地講解了強化學習的核心原理、主流算法與工程實踐，內容豐富、層次清晰、通俗易懂。全書共12章，涵蓋從基礎知識、經典算法，到深度強化學習、策略優化方法，再到離線強化學習、模型強化學習、多任務與多智能體系統等前沿內容。書中不僅詳細介紹了Q-learning、DQN、PPO、TRPO、GRPO等算法的原理與推導，還配套了多個完整實戰案例，如Atari遊戲、CartPole平衡控制、迷宮導航系統、機械臂抓取、多智能體博弈等，幫助讀者快速掌握從算法理解到項目落地的全流程技能。本書語言簡潔直觀，圖文結合，配有大量實戰項目和訓練結果分析，同時覆蓋了市面上同類圖書較少涉及的內容，如強化學習在大模型中的新應用(GRPO)、元強化學習的系統構建，以及工業級多智能體訓練框架，極具實用性與前瞻性，是學習強化學習開發技術與實戰應用的理想工具。本書適合具有Python基礎、瞭解機器學習或深度學習初步知識的讀者閱讀，尤其適合人工智能開發者、AI工程師、機器人研究人員、自動化系統設計者，也可作為高校人工智能相關專業的教材或教學參考書，以及企業培訓課程的技術參考資料。