Python Machine Learning Blueprints下载

PIPI_333 2018-08-23 05:27:22
机器学习正在改变我们理解和与周围世界互动的方式。但是你到底了解多少呢?你与那些驱动它的工具和模型互动有多自信?



Python Machine.ingBlueprints测试您的技能和知识,指导您开发一些很棒的机器学习应用程序和算法,并提供一些实际示例,演示如何将概念付诸实践。



您将学习如何使用集群技术来发现便宜的机票,并应用线性回归来找到自己一套便宜的公寓——以及更多。你所学的一切都是由一个真实世界的例子支持的,无论是数据处理还是统计建模。



这样,你就不会在理论上陷入困境了——你只需要以一种产生真正影响的方式收集和分析数据。
相关下载链接://download.csdn.net/download/niexin_future/10622808?utm_source=bbsseo
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Key Features, Put machine learning principles into practice to solve real-world problemsGet to grips with Python's impressive range of Machine Learning libraries and frameworksFrom 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 ecosystemSuccessfully evaluate and apply the most effective models to problemsLearn the fundamentals of NLP - and put them into practiceVisualize data for maximum impact and clarityDeploy machine learning models using third party APIsGet 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, The Python Machine Learning EcosystemBuild an App to Find Underpriced ApartmentsBuild an App to Find Cheap AirfaresForecast the IPO Market using Logistic RegressionCreate a Custom NewsfeedPredict whether Your Content Will Go ViralForecast the Stock Market with Machine LearningBuild an Image Similarity EngineBuild a ChatbotBuild a Recommendation Engine

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