Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners - E-book - ePub

Edition en anglais

Note moyenne 
 Herbert Jones - Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners.
Do you want to learn about data science but aren't in the mood to read a boring textbook?This data science book could be the answer you're looking for...... Lire la suite
2,99 € E-book - ePub
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Résumé

Do you want to learn about data science but aren't in the mood to read a boring textbook?This data science book could be the answer you're looking for... Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
And it is all done by collecting and sorting through a large amount of information, so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field. This book will discuss the following topics: What is data science? How Big Data works and why it is so important How to do an explorative data analysis Working with data mining How to mine text to get the data Some amazing machine learning algorithms to help with data science How to do data modeling Data visualization How to use data science to help your business grow Tips to help you get started with data science And much, much more! So if you are ready to get started with data science, click "buy now"!

Caractéristiques

  • Date de parution
    08/07/2020
  • Editeur
  • ISBN
    978-1-393-58527-5
  • EAN
    9781393585275
  • Format
    ePub
  • Caractéristiques du format ePub
    • Protection num.
      pas de protection

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