Data Science and Analytics with Python
暫譯: 使用 Python 的數據科學與分析

Rogel-Salazar, Jesus

Data Science and Analytics with Python
  • 出版商: CRC
  • 出版日期: 2025-06-02
  • 售價: $2,280
  • 貴賓價: 9.5 折 $2,166
  • 語言: 英文
  • 頁數: 474
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032772492
  • ISBN-13: 9781032772493
  • 相關分類: Python、程式語言、Data Science

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Since the first edition of "Data Science and Analytics with Python" we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI).

This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts.

Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.

商品描述(中文翻譯)

自《使用 Python 的資料科學與分析》第一版以來，我們見證了人工智慧和機器學習領域前所未有的興趣和發展。這股熱潮使得本書在商業實務者中廣泛採用，並且也成為大學的重要教科書。為了回應這一增長，本新版本在前一版的成功基礎上進行擴展，增添了幾個章節，更新了代碼以反映 Python 函式庫和模組的最新進展，並針對生成式人工智慧（Generative AI, GenAI）不斷演變的格局進行了探討。

這一更新版本確保範例和練習保持相關性，通過納入流行函式庫如 Scikit-learn、pandas 和 Numpy 的最新功能。此外，新章節深入探討了生成式人工智慧等前沿主題，反映了這些技術的進步及其日益擴大的角色。本書還針對人工智慧中的可解釋性、透明性和公平性等重要議題進行了探討。這些主題在近年來獲得了相當大的關注。隨著人工智慧更深入地融入我們生活的各個方面，理解和減輕偏見、確保公平性以及維持透明性變得至關重要。本書全面涵蓋這些主題，為資料科學家和分析師提供實用的見解和指導。

本書旨在成為資料分析師和新興資料科學家的實用伴侶，假設讀者具備編程和統計建模的基本知識，但旨在引導讀者更深入地探索資料分析和機器學習的奇妙世界。保持書籍的結構，每一章儘可能獨立，讓讀者可以將其作為參考書籍和教科書使用。無論是重溫基本概念還是深入探討新的高級主題，本書都為每位讀者提供了有價值的內容。

作者簡介

Dr Jesús Rogel-Salazar is a Lead Data Scientist with experience in the field working for companies such as The Ortus Group, TympaHealth, Barclays Bank, AKQA, IBM Data Science Studio, Dow Jones and others. He is a visiting researcher at the Department of Physics, and the Business School at Imperial College London, UK and a a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter.

He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book Essential Matlab and Octave and the companion book to this volume Advanced Data Science and Analytics with Python and Statistics and Data Visualisation with Python, also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism, telematics, fintech and healthtech.

作者簡介(中文翻譯)

Dr. Jesús Rogel-Salazar 是一位首席數據科學家，擁有在多家公司工作的經驗，包括 The Ortus Group、TympaHealth、Barclays Bank、AKQA、IBM Data Science Studio、Dow Jones 等。他是英國倫敦帝國學院物理系和商學院的訪問研究員，也是英國哈特福德大學物理、天文學和數學學院的成員。他在倫敦帝國學院獲得物理學博士學位，研究主題為量子原子光學和超冷物質。

自2006年以來，他在數學領域擔任高級講師，同時在金融行業擔任顧問和數據科學家。他是書籍《Essential Matlab and Octave》的作者，以及本書的伴隨書籍《Advanced Data Science and Analytics with Python》和《Statistics and Data Visualisation with Python》，這些書籍也由 CRC Press 出版。他的興趣包括數學建模、數據科學和優化，應用範圍廣泛，包括光學、量子力學、數據新聞學、遠程信息處理、金融科技和健康科技。

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