Fundamentals of Machine Learning for Life Sciences: A Simple, Step-By-Step Approach with Examples in R
暫譯: 生命科學機器學習基礎：簡單逐步的方法與 R 語言範例
Awadhiya, Ankur
- 出版商: CRC
- 出版日期: 2026-05-11
- 售價: $4,580
- 貴賓價: 9.5 折 $4,351
- 語言: 英文
- 頁數: 358
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041275560
- ISBN-13: 9781041275565
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Machine learning touches our lives in quiet and remarkable ways. It helps doctors detect illnesses sooner by recognizing subtle patterns in scans and helping them make sense of medical data with speed, judgment, and care. It helps us care for our fields and forests by tracking changes that unfold over time. It helps us study the weather with a memory far longer than our own, and notices small signs that equipment may soon need attention. And when we find ourselves in unfamiliar places, it helps us translate words, find our bearings, and discover new corners to explore. And yet, even as it becomes part of daily life, its inner workings can still feel distant when you first encounter them. Fundamentals of Machine Learning aims to bring it within reach.
This book offers a clear and steady introduction to how machines learn from data. It explains how models begin to understand, decide, improve, and sometimes falter. Ideas build gradually, one upon another, supported by real examples and datasets in R. The focus is insight over jargon, clarity over complexity. As these ideas become familiar, they also hold the promise of supporting the works of scientists, engineers, and students -- by opening new pathways of exploration.
Inside the Book
- How learning algorithms discover patterns
- Supervised, unsupervised, and other ways machines learn
- Regression, decision trees, neural networks, and more
- Working with data and understanding results
- Ethics, fairness, and responsible use
Warm, practical, and approachable, Fundamentals of Machine Learning encourages readers to build confidence step by step, to make sense of new ideas in their own time, and to discover how understanding machine learning can enrich the way we work, learn, and see the world.
商品描述(中文翻譯)
機器學習以靜默而卓越的方式影響著我們的生活。它幫助醫生透過識別掃描中的微妙模式來更早地檢測疾病，並以快速、判斷和關懷的方式幫助他們理解醫療數據。它幫助我們照顧農田和森林，追蹤隨時間變化的情況。它幫助我們研究天氣，擁有比我們自己更長的記憶，並注意到設備可能很快需要關注的小跡象。當我們身處陌生的地方時，它幫助我們翻譯單詞、找到方向，並發現新的探索角落。然而，即使它成為日常生活的一部分，當你第一次接觸它的內部運作時，仍然會感到遙遠。《機器學習基礎》旨在讓這一切變得觸手可及。
本書提供了一個清晰而穩定的介紹，說明機器如何從數據中學習。它解釋了模型如何開始理解、決策、改進，有時也會失誤。這些概念逐步建立，彼此相互支持，並以 R 語言中的真實範例和數據集為基礎。重點在於洞察而非術語，清晰而非複雜。隨著這些概念變得熟悉，它們也承諾支持科學家、工程師和學生的工作——開啟新的探索途徑。
書中內容包括：
- 學習算法如何發現模式
- 監督式、非監督式及其他機器學習方式
- 迴歸、決策樹、神經網絡等
- 處理數據和理解結果
- 倫理、公平和負責任的使用
《機器學習基礎》溫暖、實用且易於接近，鼓勵讀者逐步建立信心，隨自己的節奏理解新概念，並發現理解機器學習如何豐富我們的工作、學習和看待世界的方式。
作者簡介
Dr. Ankur Awadhiya (b. 1987) is an officer of the Indian Forest Service and an en-gineer by training. He received his B.Tech and Ph.D. from IIT Kanpur, earned his AIGNFA (Master's in Forestry) from the Indira Gandhi National Forest Academy, and completed an Honours Post Graduate Diploma in Advanced Wildlife Management from the Wildlife Institute of India.
He has pursued advanced specializations in Artificial Intelligence from Oxford, Mind and Decision Making from Cambridge, and Applied Machine Learning from Johns Hopkins. He also holds professional certifications in Data Science, Com-puter Science, and Artificial Intelligence from Harvard, along with a MicroMasters in Data, Economics, and Development Policy from MIT.
As Deputy Director at the Forest Survey of India, Dr. Awadhiya works at the inter-section of technology and ecology, integrating Artificial Intelligence and Machine Learning into natural resource monitoring and management. His interests span biodiversity conservation, forest management, and scientific research. A prolific writer, he has over fifty publications and holds two patents.
Dr. Awadhiya is the recipient of several prestigious honors, including the NTSE Scholarship, KVPY Fellowship, Vanyaprani Sanrakshan Puraskar, Shri P. Srinivas Memorial Prize, K. P. Sagriya Shreshta Vaniki Puraskar, and the S. K. Seth Prize. Beyond his professional life, he enjoys teaching, photography, painting, filmmak-ing, and creative writing.
作者簡介(中文翻譯)
安庫爾·阿瓦迪亞博士（Dr. Ankur Awadhiya，1987年出生）是印度森林服務的官員，並且受過工程訓練。他在印度理工學院坎普爾分校（IIT Kanpur）獲得了工學學士學位（B.Tech）和博士學位（Ph.D.），並在英迪拉·甘地國家森林學院（Indira Gandhi National Forest Academy）獲得了森林碩士學位（AIGNFA），還在印度野生動物研究所（Wildlife Institute of India）完成了高級野生動物管理的榮譽研究生文憑。
他在牛津大學專攻人工智慧（Artificial Intelligence）、劍橋大學專攻心智與決策（Mind and Decision Making），以及在約翰霍普金斯大學專攻應用機器學習（Applied Machine Learning）。他還持有哈佛大學的數據科學（Data Science）、計算機科學（Computer Science）和人工智慧的專業認證，以及麻省理工學院的數據、經濟學和發展政策的微碩士學位（MicroMasters）。
作為印度森林調查局的副局長，阿瓦迪亞博士在技術與生態學的交匯處工作，將人工智慧和機器學習整合到自然資源的監測和管理中。他的興趣涵蓋生物多樣性保護、森林管理和科學研究。作為一位多產的作家，他擁有超過五十篇的出版物並持有兩項專利。
阿瓦迪亞博士獲得了多項著名榮譽，包括NTSE獎學金、KVPY獎學金、Vanyaprani Sanrakshan Puraskar、Shri P. Srinivas紀念獎、K. P. Sagriya Shreshta Vaniki獎和S. K. Seth獎。除了專業生活外，他還喜歡教學、攝影、繪畫、電影製作和創意寫作。
