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Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You
☆☆☆☆☆
简体网页||繁体网页
Tony Ojeda 作者
Packt Publishing - ebooks Account
译者
2014-9-29 出版日期
448 页数
USD 29.99 价格
Paperback
丛书系列
9781783980246 图书编码

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 图书标签: 数据分析  R  数据  Python  机器学习  data  科普  数据科学家   

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发表于2024-11-05

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Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 用户评价

评分☆☆☆☆☆

利益相关，参与了后四分之一的翻译。优点例子很生动实践性很强，缺点理论部分偏弱，并且难度偏低，废话偏多。里面介绍了很多Python以及R相关工具和类库，可以帮助入门者迅速构建自己的工具链并找到实际应用的例子，这大概是这本书最大的贡献了吧

评分☆☆☆☆☆

利益相关，参与了后四分之一的翻译。优点例子很生动实践性很强，缺点理论部分偏弱，并且难度偏低，废话偏多。里面介绍了很多Python以及R相关工具和类库，可以帮助入门者迅速构建自己的工具链并找到实际应用的例子，这大概是这本书最大的贡献了吧

评分☆☆☆☆☆

案例教学，不太简单不太难，高年级本科生水平。

评分☆☆☆☆☆

非常适合数据科学入门，也是R和python入门的补充，跟随实际项目去了解数据分析方法和思路。

评分☆☆☆☆☆

案例太冗长，难度适中，适合认真型小白自学 @jessiejcjsjz

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 著者简介

Tony Ojeda

Tony Ojeda is an accomplished data scientist and entrepreneur, with expertise in business process optimization and over a decade of experience creating and implementing innovative data products and solutions. He has a Master's degree in Finance from Florida International University and an MBA with concentrations in Strategy and Entrepreneurship from DePaul University. He is the founder of District Data Labs, a cofounder of Data Community DC, and is actively involved in promoting data science education through both organizations.

Sean Patrick Murphy

Sean Patrick Murphy spent 15 years as a senior scientist at The Johns Hopkins University Applied Physics Laboratory, where he focused on machine learning, modeling and simulation, signal processing, and high performance computing in the Cloud. Now, he acts as an advisor and data consultant for companies in SF, NY, and DC. He completed his graduation from The Johns Hopkins University and his MBA from the University of Oxford. He currently co-organizes the Data Innovation DC meetup and cofounded the Data Science MD meetup. He is also a board member and cofounder of Data Community DC.

Benjamin Bengfort

Benjamin Bengfort is an experienced data scientist and Python developer who has worked in military, industry, and academia for the past 8 years. He is currently pursuing his PhD in Computer Science at the University of Maryland, College Park, doing research in Metacognition and Natural Language Processing. He holds a Master's degree in Computer Science from North Dakota State University, where he taught undergraduate Computer Science courses. He is also an adjunct faculty member at Georgetown University, where he teaches Data Science and Analytics. Benjamin has been involved in two data science start-ups in the DC region: leveraging large-scale machine learning and Big Data techniques across a variety of applications. He has a deep appreciation for the combination of models and data for entrepreneurial effect, and he is currently building one of these start-ups into a more mature organization.

Abhijit Dasgupta

Abhijit Dasgupta is a data consultant working in the greater DC-Maryland-Virginia area, with several years of experience in biomedical consulting, business analytics, bioinformatics, and bioengineering consulting. He has a PhD in Biostatistics from the University of Washington and over 40 collaborative peer-reviewed manuscripts, with strong interests in bridging the statistics/machine-learning divide. He is always on the lookout for interesting and challenging projects, and is an enthusiastic speaker and discussant on new and better ways to look at and analyze data. He is a member of Data Community DC and a founding member and co-organizer of Statistical Programming DC (formerly, R Users DC).

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 图书目录

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 图书描述

Data's value has grown exponentially in the past decade, with 'Big Data' today being one of the biggest buzzwords in business and IT, and data scientist hailed as 'the sexiest job of the 21st century'. Practical Data Science Cookbook helps you see beyond the hype and get past the theory by providing you with a hands-on exploration of data science. With a comprehensive range of recipes designed to help you learn fundamental data science tasks, you'll uncover practical steps to help you produce powerful insights into Big Data using R and Python.

Use this valuable data science book to discover tricks and techniques to get to grips with your data. Learn effective data visualization with an automobile fuel efficiency data project, analyze football statistics, learn how to create data simulations, and get to grips with stock market data to learn data modelling. Find out how to produce sharp insights into social media data by following data science tutorials that demonstrate the best ways to tackle Twitter data, and uncover recipes that will help you dive in and explore Big Data through movie recommendation databases.

Practical Data Science Cookbook is your essential companion to the real-world challenges of working with data, created to give you a deeper insight into a world of Big Data that promises to keep growing.

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 下载 mobi epub pdf txt 在线电子书下载
想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 读后感

评分☆☆☆☆☆

R语言方面：还可以，毕竟R语言作为数据科学的语言已经有很长的额历史了，各方面也都比较成熟了，而且我本身也有R语言基础所以读起来没什么问题，内容也还可以，不过当我转身开始学习Python的时候就出现问题了。 Python语言方面：首先全文都是2.X语言写的，如果你完全是从3.X开...  

评分☆☆☆☆☆

为啥第一个project里边很多数据图做出来跟书里做出来的趋势甚至相反，不知道是我弄错了还是数据本身改动过…… 书是不错，上手容易，但如果对代码增加一点注释会更易懂。 ***********************************

评分☆☆☆☆☆

为啥第一个project里边很多数据图做出来跟书里做出来的趋势甚至相反，不知道是我弄错了还是数据本身改动过…… 书是不错，上手容易，但如果对代码增加一点注释会更易懂。 ***********************************

评分☆☆☆☆☆

R语言方面：还可以，毕竟R语言作为数据科学的语言已经有很长的额历史了，各方面也都比较成熟了，而且我本身也有R语言基础所以读起来没什么问题，内容也还可以，不过当我转身开始学习Python的时候就出现问题了。 Python语言方面：首先全文都是2.X语言写的，如果你完全是从3.X开...  

评分☆☆☆☆☆

为啥第一个project里边很多数据图做出来跟书里做出来的趋势甚至相反，不知道是我弄错了还是数据本身改动过…… 书是不错，上手容易，但如果对代码增加一点注释会更易懂。 ***********************************

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Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On You 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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