Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
暫譯: Python 機器學習案例研究：五個數據科學家的案例研究
Danish Haroon
- 出版商: Apress
- 出版日期: 2017-10-29
- 定價: $2,300
- 售價: 8.0 折 $1,840
- 語言: 英文
- 頁數: 224
- 裝訂: Paperback
- ISBN: 1484228227
- ISBN-13: 9781484228227
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相關分類:
Python、程式語言、Machine Learning
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相關翻譯:
Python機器學習 5個數據科學家案例解析 (簡中版)
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商品描述
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.
Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You’ll see machine learning techniques that you can use to support your products and services. Moreover you’ll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs.
By taking a step-by-step approach to coding in Python you’ll be able to understand
the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.What You Will Learn
- Gain insights into machine learning concepts
- Work on real-world applications of machine learning
- Learn concepts of model selection and optimization
- Get a hands-on overview of Python from a machine learning point of view
Who This Book Is For
Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.
商品描述(中文翻譯)
擁抱機器學習方法和 Python，以實現自動呈現豐富的見解並解決商業問題。本書採用基於案例研究的實作方法，破解可以應用機器學習概念的真實世界應用。這些更智能的機器將使您的商業流程在最少的時間和資源下實現效率。
《Python 機器學習案例研究》將引導您改善商業流程並確定框定策略的關鍵點。您將看到可以用來支持您的產品和服務的機器學習技術。此外，您還將學習每個機器學習概念的優缺點，以幫助您決定哪一個最適合您的需求。
通過逐步編寫 Python 代碼，您將能夠理解模型選擇和機器學習過程中決策的基本原理。本書配備了實用的範例和代碼片段，以確保您理解數據科學解決真實世界問題的方法。
您將學到的內容：
- 獲得機器學習概念的見解
- 研究機器學習的真實世界應用
- 學習模型選擇和優化的概念
- 從機器學習的角度獲得 Python 的實作概覽
本書適合對象：
數據科學家、數據分析師、人工智慧工程師、大數據愛好者、計算機科學家、計算機科學學生以及資本市場分析師。
