Getting Started with MATLAB Machine Learning

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Easily extract patterns and knowledge from your data using MATLABMATLAB is the language of choice for many researchers and mathematics experts when it comes to machine learning. This video will help beginners build a foundation in machine learning using MATLAB. You'll start by getting your system ready with the MATLAB environment for machine learning and you'll see how to easily interact with the MATLAB workspace. You'll then move on to data cleansing, mining, and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll learn about the different types of regression technique and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction to improve performance. By the end of the video, you'll have learned to put it all together via real-world use cases covering the major machine learning algorithms and will be comfortable in performing machine learning with MATLAB.About the AuthorGiuseppe Ciaburro holds a Master's degree in chemical engineering from Università degli Studi di Napoli Federico II, and a Master's degree in acoustic and noise control from Seconda Università degli Studi di Napoli. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli.".
He has over 15 years' work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in Python and R, and he has extensive experience of working with MATLAB. An expert in acoustics and noise control, Giuseppe has wide experience in teaching professional computer courses (about 15 years), working with e-learning as an author

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About this course

Learn the introductory concepts of machine learning
Explore the different types of regression technique such as simple and multiple linear regression, ordinary least squares estimation, correlations, and how to apply them to your data
Discover the basics of classification methods and how to implement the Naive Bayes algorithm and Decision Trees in the MATLAB environment
Perform data fitting, pattern recognition, and clustering analysis with the help of the MATLAB neural network toolbox

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2021

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Subjects

  • Construction Training
  • Programming
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Course programme

Importing and Organizing Data in MATLAB 5 lectures 53:14 The Course Overview This video will give you an overview about the course. Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Importing and Organizing Data in MATLAB - Quiz Now that you are done with the videos of section 1, let’s assess your learning. Here, are a few questions, followed by 4 options, outof which 1 is the correct option. Select the right option and validate your learning!The answers are provided in a separate sheet Importing and Organizing Data in MATLAB. 5 lectures 53:14 The Course Overview This video will give you an overview about the course. Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Importing and Organizing Data in MATLAB - Quiz Now that you are done with the videos of section 1, let’s assess your learning. Here, are a few questions, followed by 4 options, outof which 1 is the correct option. Select the right option and validate your learning!The answers are provided in a separate sheet The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Familiarizing Yourself with the MATLAB Desktop MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
MATLAB will show us a desk of contents with all the necessary items for its proper and smooth operation.
  • Perform the math task and assigns the result to the ans variable
  • Create two variables and save the result in a third variable
  • Specify row and column to select the element in the first row and second column
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Importing Data into MATLAB In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
In this video, we will start from data collection and import in MATLAB for whatever analysis we are going to do. As well, we will finish our activities by exporting the results.
  • Import data programmatically
  • Read mixed strings and numbers
  • Examine the individual entries
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Exporting Data from MATLAB Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Many of the functions we have used to import data into MATLAB have a corresponding function that allows us to export data. In this video, we will see those functions.
  • Export data from MATLAB in .csv files
  • Use the imwrite() function to import an image in MATLAB
  • Use the audioread() function to import audio files
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Data Organization So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
So far, for data organization, we have mostly used standard arrays that represent useful data structures for storing a large number of objects, but all of the same type, such as a matrix of numbers or characters. However, such arrays cannot be used if you want to memorize both numbers and strings in the same object. This is a problem that can be solved by so-called cell arrays, structure arrays, and more generally all those structures that the MATLAB programming environment provides us.
  • Use the cell array construction operator to create a cell array
  • Create a bar graph of the first customer data
  • Create a table from variables in the MATLAB workspace
Importing and Organizing Data in MATLAB - Quiz Now that you are done with the videos of section 1, let’s assess your learning. Here, are a few questions, followed by 4 options, outof which 1 is the correct option calculate kurtosis Exploratory Visualization We will begin our visual analysis with an example in which we will draw a simple diagram to extract statistical...

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A mathematical and statistical background will really make this video easier to follow

Getting Started with MATLAB Machine Learning

£ 150 VAT inc.