Python Machine Learning Blueprints: Intuitive data projects you can relate to

Alexander T. Combs

買這商品的人也買了...

商品描述

Key Features

  • Put machine learning principles into practice to solve real-world problems
  • Get to grips with Python's impressive range of Machine Learning libraries and frameworks
  • From retrieving data from APIs to cleaning and visualization, become more confident at tackling every stage of the data pipeline

Book Description

Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it?

Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice.

You’ll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment – and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling.

That way you’re never left floundering in theory – you’ll be simply collecting and analyzing data in a way that makes a real impact.

What you will learn

  • Explore and use Python's impressive machine learning ecosystem
  • Successfully evaluate and apply the most effective models to problems
  • Learn the fundamentals of NLP - and put them into practice
  • Visualize data for maximum impact and clarity
  • Deploy machine learning models using third party APIs
  • Get to grips with feature engineering

About the Author

Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.

Table of Contents

  1. The Python Machine Learning Ecosystem
  2. Build an App to Find Underpriced Apartments
  3. Build an App to Find Cheap Airfares
  4. Forecast the IPO Market using Logistic Regression
  5. Create a Custom Newsfeed
  6. Predict whether Your Content Will Go Viral
  7. Forecast the Stock Market with Machine Learning
  8. Build an Image Similarity Engine
  9. Build a Chatbot
  10. Build a Recommendation Engine

商品描述(中文翻譯)

主要特點


  • 將機器學習原理應用於解決實際問題

  • 熟悉Python強大的機器學習庫和框架

  • 從從API擷取數據到數據清理和可視化,更自信地應對數據流程的每個階段

書籍描述

機器學習正在改變我們理解和與周圍世界互動的方式。但你對它了解多少呢?你對驅動它的工具和模型的互動有多自信呢?

《Python機器學習藍圖》將考驗你的技能和知識,通過開發一些令人驚嘆的機器學習應用和算法,並通過實際示例演示如何將概念付諸實踐。

你將學習如何使用聚類技術來發現便宜的機票,並應用線性回歸找到一個便宜的公寓 - 還有更多。你所學的一切都有真實世界的例子作為支持,無論是數據操作還是統計建模。

這樣你就不會在理論中迷失 - 你將簡單地收集和分析數據,產生真正的影響。

你將學到什麼


  • 探索並使用Python強大的機器學習生態系統

  • 成功評估並應用最有效的模型解決問題

  • 學習自然語言處理的基礎知識 - 並付諸實踐

  • 最大程度地影響和清晰地視覺化數據

  • 使用第三方API部署機器學習模型

  • 熟悉特徵工程

關於作者

Alexander T. Combs 是一位經驗豐富的數據科學家、策略師和開發人員,擁有金融數據提取、自然語言處理和生成、以及定量和統計建模的背景。他目前是紐約市一個數據科學沉浸式課程的全職首席講師。

目錄


  1. Python機器學習生態系統

  2. 構建一個尋找低價公寓的應用程式

  3. 構建一個尋找便宜機票的應用程式

  4. 使用邏輯回歸預測IPO市場

  5. 創建自定義新聞提要

  6. 預測你的內容是否會爆紅

  7. 使用機器學習預測股市

  8. 構建圖像相似度引擎

  9. 構建一個聊天機器人

  10. 構建一個推薦引擎