Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges (Paperback)
暫譯: 深入數據科學:使用 Python 解決最棘手的商業挑戰 (平裝本)
Tuckfield, Bradford
- 出版商: No Starch Press
- 出版日期: 2023-07-04
- 定價: $1,480
- 售價: 9.0 折 $1,332
- 語言: 英文
- 頁數: 288
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1718502885
- ISBN-13: 9781718502888
-
相關分類:
Python
-
相關翻譯:
深入淺出數據科學:Python編程 (簡中版)
立即出貨
買這商品的人也買了...
-
$990Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More! (Paperback) -
FPGA to High speed ADC Data streaming, HDL programming: Xilinx Zynq7000 family on Vivado IDE platform (Paperback)$1,580$1,501 -
$1,118The Big Book of Small Python Projects: 81 Easy Practice Programs -
核心開發者親授!PyTorch 深度學習攻略 (Deep Learning with Pytorch)$1,000$790 -
Python 遊戲開發講座進階篇|動作射擊與 3D賽車$850$672 -
Python 遊戲開發講座入門篇|基礎知識與 RPG 遊戲$750$593 -
理解演算法|Python 初學者的深度歷險 (Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner)$400$316 -
$1,680Agile Web Development with Rails 7 (Paperback) -
Python 小專案大集合:提升功力的 81個簡單有趣小程式$720$562 -
$1,890Python for Data Science: A Hands-On Introduction (Paperback) -
全格局使用 PyTorch -- 深度學習和圖神經網路 -- 基礎篇$880$695 -
Object-Oriented Python|以 GUI 和遊戲程式學物件導向程式設計 (Object-Oriented Python)$520$411 -
大話 AWS 雲端架構:雲端應用架構圖解輕鬆學, 3/e$650$507 -
Python + Office 辦公自動化實戰$480$379 -
Python Tools for Scientists: An Introduction to Using Anaconda, Jupyterlab, and Python's Scientific Libraries$1,770$1,682 -
圖解 AWS 雲端服務$480$379 -
Python 遊戲開發講座|演算法篇$620$490 -
編寫 Rust 指令列程式|透過小巧完整的程式學習 Rust CLI (Command-Line Rust: A Project-Based Primer for Writing Rust CLIs)$680$537 -
$2,079Docker: Up & Running: Shipping Reliable Containers in Production, 3/e (Paperback) -
AI 嵌入式系統技術與實踐 — 基於樹莓派 RP2040 和 MicroPython$534$507 -
$403惡意代碼逆向分析基礎詳解 -
現代 Linux 學習手冊 (Learning Modern Linux: A Handbook for the Cloud Native Practitioner)$580$458 -
圖解演算法原理$480$379 -
親手開發推薦系統 - PyTorch 全方位實作最重要演算法$780$616 -
AI 時代 Math 元年 - 用 Python 全精通數學要素$980$774
商品描述
Learn how to use data science and Python to solve everyday business problems.
Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.
With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions.
Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.
You'll also learn how to:
- Forecast consumer demand
- Optimize marketing campaigns
- Reduce customer attrition
- Predict website traffic
- Build recommendation systems
With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in!
商品描述(中文翻譯)
學習如何使用資料科學和 Python 來解決日常商業問題。
透過這本實用的入門書籍,深入探索資料科學的精彩世界。《Dive Into Data Science》充滿了必要的技能和有用的範例,將向您展示如何獲取、分析和視覺化資料,以便您能夠利用其力量來解決常見的商業挑戰。
只需對 Python 和高中數學有基本的了解,您就能輕鬆地閱讀本書,並開始在日常工作中實施資料科學。從改善共享單車公司到從網站提取資料和創建推薦系統,您將發現如何尋找和使用數據驅動的解決方案來做出商業決策。
涵蓋的主題包括進行探索性資料分析、執行 A/B 測試、使用邏輯回歸模型進行二元分類,以及使用機器學習演算法。
您還將學習如何:
- 預測消費者需求
- 優化行銷活動
- 減少客戶流失
- 預測網站流量
- 建立推薦系統
擁有這本實用指南,利用程式設計、數學理論和常識的力量,尋找能夠帶來改變的數據驅動解決方案。不要等待,立即開始吧!
作者簡介
Bradford Tuckfield is a data scientist, a consultant, and a writer. He received a PhD from the Wharton School of the University of Pennsylvania, and a BS in Mathematics from Brigham Young University. He is the author of Dive Into Algorithms (No Starch Press) and Applied Unsupervised Learning with R (Packt). In addition to working as a data scientist and tech manager for top finance firms and startups, his research has appeared in academic journals spanning math, business management, and medicine.
作者簡介(中文翻譯)
Bradford Tuckfield 是一位數據科學家、顧問和作家。他在賓夕法尼亞大學沃頓商學院獲得博士學位,並在楊百翰大學獲得數學學士學位。他是 Dive Into Algorithms(No Starch Press)和 Applied Unsupervised Learning with R(Packt)的作者。除了擔任頂尖金融公司和新創公司的數據科學家和技術經理外,他的研究成果也發表在涵蓋數學、商業管理和醫學的學術期刊上。