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You're reading from  MATLAB for Machine Learning - Second Edition

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781835087695
Edition2nd Edition
Languages
MATLAB
Tools
MATLAB
Concepts
Machine Learning
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Author (1)
Giuseppe Ciaburro
Giuseppe Ciaburro
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Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro

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Importing data into MATLAB

The exchange of data between the analysis environment and external devices plays a pivotal role in data analysis. Importing data refers to the process of bringing external data into a software or platform for further analysis, processing, or storage. This flow of operation can be developed in MATLAB through the following steps:

  1. Prepare your data: Ensure that your data is in a compatible format such as a text file, spreadsheet (CSV or Excel), or a supported file format (MAT or HDF). Make sure the data is organized and structured properly.
  2. Navigate to the Import Tool: MATLAB provides an interactive tool called the Import Tool that simplifies the data import process. To access it, you can either click on the Import Data button on the MATLAB toolbar or use the importdata() function in the MATLAB command window and press Enter. This function loads data from a file:
Figure 2.1 – Import Data procedure

Figure 2.1 – Import Data procedure

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MATLAB for Machine Learning - Second Edition
Published in: Jan 2024Publisher: PacktISBN-13: 9781835087695
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro

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