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Data science programming all-in-one / by John Paul Mueller and Luca Massaron.

By: Contributor(s): Material type: TextTextSeries: --For dummiesPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2020]Description: xviii, 748 pages : illustrations ; 24 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119626114
  • 1119626110
Other title:
  • Data science programming all-in-one for dummies
Subject(s):
Contents:
Book 1. Defining data science -- Book 2. Interacting with data storage -- Book 3. Manipulating data using basic algorithms -- Book 4. Performing advanced data manipulation -- Book 5. Performing data-related tasks -- Book 6. Diagnosing and fixing errors.
Summary: "A compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time"-- Provided by publisher.
List(s) this item appears in: Computer Science & Coding for Adults
Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode Item holds
Adult Book Adult Book Main Library NonFiction 006.312 M946 Checked out 05/22/2024 33111009582608
Total holds: 0

Enhanced descriptions from Syndetics:

Your logical, linear guide to the fundamentals of data science programming

Data science is exploding--in a good way--with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.

Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization

Whether you're a beginning student or already mid-career, get your copy now and add even more meaning to your life--and everyone else's!

"Learning made easy"--Cover.

"6 books in one"--Cover.

Includes index.

"A compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time"-- Provided by publisher.

Book 1. Defining data science -- Book 2. Interacting with data storage -- Book 3. Manipulating data using basic algorithms -- Book 4. Performing advanced data manipulation -- Book 5. Performing data-related tasks -- Book 6. Diagnosing and fixing errors.

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