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Data Analytics with Hadoop
  • Language: en
  • Pages: 288

Data Analytics with Hadoop

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical pr...

Applied Text Analysis with Python
  • Language: en
  • Pages: 332

Applied Text Analysis with Python

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, ...

Practical Data Science Cookbook
  • Language: en
  • Pages: 434

Practical Data Science Cookbook

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Python Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning ...

Interactive Spark Using PySpark
  • Language: en
  • Pages: 20

Interactive Spark Using PySpark

  • Type: Book
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  • Published: 2016
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  • Publisher: Unknown

Apache Spark is an in-memory framework that allows data scientists to explore and interact with big data much more quickly than with Hadoop. Python users can work with Spark using an interactive shell called PySpark. Why is it important? PySpark makes the large-scale data processing capabilities of Apache Spark accessible to data scientists who are more familiar with Python than Scala or Java. This also allows for reuse of a wide variety of Python libraries for machine learning, data visualization, numerical analysis, etc. What you'll learn—and how you can apply it Compare the different components provided by Spark, and what use cases they fit. Learn how to use RDDs (resilient distributed ...

Practical Data Science Cookbook - Second Edition
  • Language: en
  • Pages: 458

Practical Data Science Cookbook - Second Edition

  • Type: Book
  • -
  • Published: 2017-04-28
  • -
  • Publisher: Unknown

89 hands-on recipes to help you complete real-world data science projects in R and PythonAbout This Book* Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data* Get beyond the theory and implement real-world projects in data science using R and Python* Easy-to-follow recipes will help you understand and implement the numerical computing conceptsWho This Book Is ForIf you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learn...

Data Analytics with Hadoop
  • Language: en

Data Analytics with Hadoop

  • Type: Book
  • -
  • Published: 2016
  • -
  • Publisher: Unknown

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Python Data Analysis Cookbook
  • Language: en
  • Pages: 462

Python Data Analysis Cookbook

Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn Set up reproducible data analy...

Python: End-to-end Data Analysis
  • Language: en
  • Pages: 931

Python: End-to-end Data Analysis

Leverage the power of Python to clean, scrape, analyze, and visualize your data About This Book Clean, format, and explore your data using the popular Python libraries and get valuable insights from it Analyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and more Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working k...

Mastering Hadoop
  • Language: en
  • Pages: 374

Mastering Hadoop

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.

Analítica de dados com Hadoop
  • Language: pt
  • Pages: 352

Analítica de dados com Hadoop

Pronto para usar técnicas estatísticas e de aprendizado de máquina (machine learning) em grandes conjuntos de dados? Este guia prático mostra por que o ecossistema do Hadoop é perfeito para essa tarefa. Em vez de ter como foco a implantação, as operações ou o desenvolvimento de softwares geralmente associados à computação distribuída, você se concentrará nas análises particulares que poderá fazer, nas técnicas de armazém de dados (data warehousing) oferecidas pelo Hadoop e em fluxos de trabalho de alta ordem que esse framework é capaz de gerar. Os cientistas e os analistas de dados aprenderão a usar diversas técnicas que variam da escrita de aplicações MapReduce e Spa...