買這商品的人也買了...
-
Fundamentals of Data Structures in C++, 2/e (Paperback)$1,390$1,362 -
$3,150The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2/e (Hardcover) -
C 語言程式設計範例入門$560$476 -
易讀程式之美學－提升程式碼可讀性的簡單法則 (The Art of Readable Code)$480$379 -
Operating System Concepts, 9/e (IE-Paperback)$1,680$1,646 -
170 洞迷你麵包板$50$48 -
計算機概論 (Dale : Computer Science Illuminated, 5/e)$580$568 -
Java SE 8 技術手冊$620$490 -
$1,680An Introduction to Statistical Learning: With Applications in R (Hardcover) -
ASP.NET MVC 5 網站開發美學$780$616 -
Introduction to Probability & Statistics for Engineers & Scientists, 5/e (Hardcover)$1,580$1,548 -
R 軟體資料分析基礎與應用 (R for Everyone: Advanced Analytics and Graphics)$650$553 -
精通 Python｜運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages)$780$616 -
Visual C# 2015 基礎必修課 (適用VC#2015~2013，附範例光碟)$530$451 -
$474ELKstack 權威指南 -
職業駭客的告白 : 軟體反組譯、木馬病毒與入侵翻牆竊密$620$484 -
$294鳳凰計畫：一個 IT計畫的傳奇故事 (The Phoenix Project : A Novel about IT, DevOps, and Helping your business win)(沙盤特別版) -
Python 程式設計實務－從初學到活用 Python 開發技巧的16堂課$560$437 -
讓響應式(RWD)網頁設計變簡單：Bootstrap開發速成 (附135分鐘專題影音教學)$420$332 -
$301軟技能代碼之外的生存指南 (Soft Skills : The software developer's life manual) -
Python 機器學習 (Python Machine Learning)$580$452 -
程式設計師，你好！─成為一線設計師的工作、加薪秘技與生活趣談$360$284 -
寫給 PM、RD 與設計師看的設計需求分析─使用者想要的應用程式都是這樣打造出來的 (Designing the Requirements: Building Applications that the User Wants and Needs)$580$458 -
Make 國際中文版 vol.25 (Make: Volume 49 英文版)$260$234 -
$2,100Data Mining : Practical Machine Learning Tools and Techniques, 4/e (Paperback)
商品描述
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
商品描述(中文翻譯)
本書涵蓋了在數據驅動的生命科學研究中成功所需的幾個統計概念和數據分析技能。作者從與計算 p 值相關的相對基本概念開始，逐步深入到與分析高通量數據相關的進階主題。他們提供了執行此分析的 R 代碼，並將這些代碼行與所解釋的統計和數學概念相連結。
