Data Science from Scratch: First Principles with Python, 2/e (Paperback)
Joel Grus
- 出版商: O'Reilly
- 出版日期: 2019-06-11
- 定價: $2,310
- 售價: 9.5 折 $2,195
- 貴賓價: 9.0 折 $2,079
- 語言: 英文
- 頁數: 500
- 裝訂: Paperback
- ISBN: 1492041130
- ISBN-13: 9781492041139
-
相關分類:
Python、程式語言、Scratch、Data Science
-
相關翻譯:
Data Science from Scratch｜用 Python 學資料科學, 2/e (中文版)(Data Science from Scratch: First Principles with Python, 2/e) (繁中版)
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
$1,710The Mythical Man-Month: Essays on Software Engineering, Anniversary Edition, 2/e (Paperback) -
大話設計模式$620$490 -
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 -
Doing Data Science: Straight Talk from the Frontline (Paperback)$1,881$1,782 -
$1,344Think Python: How to Think Like a Computer Scientist, 2/e -
$990Hands-On Machine Learning with Scikit-Learn and TensorFlow (Paperback) -
ASP.NET 網頁程式設計－使用 Visual Basic 2015 (附範例光碟)$700$630 -
$1,323Elementary Statistics: A Step by Step Approach, 10/e (IE-Paperback) -
深入理解運算原理｜從簡單的機器到無所不能的程式 (Understanding Computation: From Simple Machines to Impossible Programs)$600$474 -
$990Web Scraping with Python: Collecting More Data from the Modern Web, 2/e (Paperback) -
Docker : Up & Running : Shipping Reliable Containers in Production$1,870$1,777 -
初探深度學習｜使用 TensorFlow (TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning)$480$379 -
Think Complexity｜複雜性科學與計算模型設計, 2/e (Think Complexity : Complexity Science and Computational Modeling, 2/e)$520$411 -
Python 網路爬蟲與資料視覺化應用實務$650$514 -
LINUX FIREWALLS ：善用 NFTABLES 等超強工具捍衛 LINUX 防火牆的安全性, 4/e (中文版) (Linux Firewalls: Enhancing Security with nftables and Beyond, 4/e)$680$530 -
Automate the Boring Stuff with Python : Practical Programming for Total Beginners, 2/e (Paperback)$1,500$1,425 -
Data Science from Scratch｜用 Python 學資料科學, 2/e (中文版)(Data Science from Scratch: First Principles with Python, 2/e)$680$537 -
Raspberry Pi 4 Model B/4GB 樹莓派套件組 -- 鋁殼全配 (含Pi 4/4GB + 32G SD卡 + 原廠電源 + 鋁合金帶風扇外殼(黑/銀隨機出貨) + 原廠HDMI線 + 散熱片)$3,840$3,648 -
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2/e (Paperback)$2,622$2,484 -
Official Google Cloud Certified Professional Data Engineer Study Guide (Paperback)$2,070$1,967 -
資料科學的建模基礎 : 別急著 coding！你知道模型的陷阱嗎？$599$473 -
$505學 Python 不加班 -- 輕鬆實現辦公自動化 -
Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback)$2,660$2,520 -
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems, 3/e (Paperback)$2,993$2,835 -
Python Crash Course : A Hands-On, Project-Based Introduction to Programming, 3/e (Paperback)$1,870$1,777
相關主題
商品描述
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
商品描述(中文翻譯)
資料科學的函式庫、框架、模組和工具套件非常適合進行資料科學工作，但它們也是一種不需要真正理解資料科學就能深入其中的好方法。這本更新的第二版將通過從頭實現這些工具和演算法，讓您了解許多最基本的資料科學工具和演算法的運作方式。
如果您具備數學和一些程式設計技能，作者 Joel Grus 將幫助您熟悉資料科學核心的數學和統計知識，以及作為資料科學家入門所需的駭客技能。今天混亂的大量資料中蘊藏著無人想到的問題的答案。這本書將提供您挖掘這些答案所需的專業知識。
