Python: Real World Machine Learning

Prateek Joshi, Luca Massaron, John Hearty

  • 出版商: Packt Publishing
  • 出版日期: 2017-06-16
  • 定價: $2,800
  • 售價: 8.0$2,240
  • 語言: 英文
  • 頁數: 956
  • 裝訂: Paperback
  • ISBN: 1787123219
  • ISBN-13: 9781787123212
  • 相關分類: Python程式語言Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand which algorithms to use in a given context with the help of this exciting recipe-based guide * This practical tutorial tackles real-world computing problems through a rigorous and effective approach * Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn * Use predictive modeling and apply it to real-world problems * Understand how to perform market segmentation using unsupervised learning * Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test * Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms * Increase predictive accuracy with deep learning and scalable data-handling techniques * Work with modern state-of-the-art large-scale machine learning techniques * Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and feature engineering. The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learning and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real world. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: * Python Machine Learning Cookbook by Prateek Joshi * Advanced Machine Learning with Python by John Hearty * Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron Style and approach This course is a smooth learning path that will teach you how to get started with Python machine learning for the real world, and develop solutions to real-world problems. Through this comprehensive course, you'll learn to create the most effective machine learning techniques from scratch and more!

商品描述(中文翻譯)

使用Python建立強大的機器學習模型,解決具有挑戰性的數據科學問題

關於本書
* 通過這本令人興奮的基於實例的指南,了解在特定情境下應該使用哪些算法
* 這本實用教程通過嚴謹而有效的方法解決現實世界的計算問題
* 構建最先進的模型,開發個性化推薦系統,實現大規模機器學習

本書適合對象
本學習路徑適合希望使用機器學習算法創建實際應用程序的Python程序員。對於希望處理大型和複雜數據集的Python專業人士,以及希望通過接觸數據科學中最強大的最新趨勢來增加現有技能的Python開發人員、分析師或數據科學家,本書都是理想選擇。預期讀者具備Python、Jupyter Notebooks和命令行執行的經驗,以及良好的數學知識水平以理解概念。同時,預期讀者具備機器學習的基礎知識。

你將學到什麼
* 使用預測建模解決實際問題
* 了解如何使用無監督學習進行市場分割
* 通過清晰解釋的代碼,應用你的新技能解決實際問題
* 通過深入理解最新的深度學習算法,與頂尖數據科學家競爭
* 通過深度學習和可擴展的數據處理技術提高預測準確性
* 使用現代最先進的大規模機器學習技術
* 學習使用Python代碼實現各種機器學習算法和技術

詳細內容
機器學習在現代數據驅動的世界中越來越普及。它在許多領域廣泛應用,如搜索引擎、機器人、自動駕駛汽車等。機器學習正在改變我們理解和與周圍世界互動的方式。在第一個模塊《Python機器學習食譜》,你將學習如何使用各種機器學習算法執行各種機器學習任務,以解決實際問題,並使用Python實現這些算法。第二個模塊《Python高級機器學習》旨在帶領你深入了解最相關和最強大的機器學習技術,並在特徵選擇和特徵工程領域獲得一系列強大的技能。本學習路徑的第三個模塊《Python大規模機器學習》深入探討可擴展的機器學習和三種可擴展性形式。它涵蓋了在Hadoop和Spark中使用映射減少框架的最有效的機器學習技術。本學習路徑將教你如何在實際應用中應用Python機器學習。本學習路徑涵蓋的機器學習技術處於商業實踐的前沿。本學習路徑將Packt的最佳內容結合在一個完整的、精選的包裹中。它包括以下Packt產品的內容:
* 《Python機器學習食譜》(Prateek Joshi著)
* 《Python高級機器學習》(John Hearty著)
* 《Python大規模機器學習》(Bastiaan Sjardin、Alberto Boschetti、Luca Massaron著)

風格和方法
本課程是一條平滑的學習路徑,將教你如何在實際應用中開始使用Python機器學習,並解決實際問題。通過這個全面的課程,你將學習從頭開始創建最有效的機器學習技術等等!