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Matlab Tutorial

Home » Data Science » Data Science Tutorials » Matlab Tutorial

Basic

Introduction to Matlab

What is Matlab?

Advantages of Matlab

Matlab Features

Career in MATLAB

Uses of Matlab

Is Matlab Free?

How to Install MATLAB

How to Use Matlab?

MATLAB Version

Matlab Compiler

Matlab Commands

Data Types in MATLAB

Matlab Integral

Matlab Double Integral

Matlab Object

Matlab Annotation

Matlab Variables

Matlab Global Variables

Matlab Operators

Matlab Logical Operators

Matlab AND Operator

Matlab OR Operator

Vectors in Matlab

What is Simulink in Matlab?

MATLAB Interpolation

Control Statements

IF-Else Statement in Matlab

If Statement in Matlab

for loop in PowerShell

For Loop in Matlab

While Loop in Matlab

do while loop in Matlab

Nested Loop in Matlab

Switch Statement in Matlab

Break in MATLAB

Functions

MATLAB Functions

Transfer Functions in Matlab

Anonymous Functions in Matlab

Inline Functions in Matlab

Bessel Functions in MATLAB

Mean Function in Matlab

Find Function Matlab

Filter Function in Matlab

Piecewise Function in Matlab

Sum Function in Matlab

Simulink Matlab Function

Matlab Create Function

Matlab Inverse Function

Matlab Count

Step Function Matlab

Matlab limit

fminsearch in Matlab

Covariance in Matlab

Summation in Matlab

Linear Fit Matlab

MATLAB Derivative

MATLAB Derivative of Function

Matlab Comet()

Fzero Matlab

xlabel Matlab

Matplotlib Legend

Matplotlib Subplots

Plot graph Matlab

MATLAB Indexing

Ceil Matlab

Curve Fitting Matlab

Matlab trapz()

MATLAB Normalize

Matlab sym()

Matlab Syms

Absolute Value Matlab

MATLAB Exponential

Low Pass Filter Matlab

Bandpass Filter Matlab

MATLAB Unique

Trapezoidal Rule Matlab

Matlab Root Finding

Matlab stem()

Matlab loglog()

Matlab Autocorrelation

Matlab Sort

Simplify Matlab

Cumsum MATLAB

Eval Function MATLAB

Polyval MATLAB

MATLAB Colon

MATLAB Eigenvalues

Matlab fit

Delta Function Matlab

Matlab Remainder

Differentiation in Matlab

Permute Matlab

isempty MATLAB

MATLAB text()

Varargin in Matlab

Matlab gca

Matlab min

Matlab xcorr

feval Matlab

num2str in Matlab

Matlab Images

Matlab Image Resize

Matlab Flag

Matlab fopen

Strcmp Matlab

Matlab fwrite

Matlab fft()

Matlab zeros()

Matlab textread

Arctan Matlab

Matlab Scripts

Butterworth filter Matlab

Matlab Findpeaks

Matlab Cell

Matrix

Matrix in Matlab

3D Matrix in MATLAB

Transpose Matrix Matlab

Sparse Matrix in MATLAB

Matrix Multiplication in Matlab

Identity Matrix in Matlab

Advanced

Matlab Class

Arrays in Matlab

String Array in Matlab

MATLAB Plot Function

2D Plots in Matlab

3D Plots in Matlab

Scatter Plots in Matlab

Bar Graph in Matlab

Bar Plot Matlab

Log Plot Matlab

Polar Plot in Matlab

Surface Plot in Matlab

Matlab Plot Circle

Boxplot in Matlab

Matlab Plot Multiple Lines

Linspace MATLAB

Histogram in Matlab

Plot Vector Matlab

Matlab Plot Legend

Matlab ezplots

Column Vector Matlab

Matlab Plot Marker

Matlab LineWidth

Matlab Line Style

Contour plot in Matlab

Matlab Sine Wave

Reshape in Matlab

Natural Log in Matlab

Random Number Generator in Matlab

Complex Numbers in MATLAB

Matlab Figure

Heatmap in MATLAB

MATLAB Technical Computing

Colors in Matlab

Colormap in Matlab

Matlab Plot Colors

Matlab fplot()

Matlab Stacked Bar

Matlab sphere()

MATLAB cylinder()

Matlab mesh()

Pie Chart in MATLAB

Matlab Gradient

Grid on Matlab

Repmat in Matlab

dlmread in Matlab

Meshgrid in Matlab

Matlab Struct

Matlab Cross Product

Matlab colorbar Label

Matlab Save Variable

Matlab Saveas

Matlab Cell Array

Polynomial in Matlab

ismember MATLAB

Heaviside MATLAB

Matlab rref

Mat2cell Matlab

Magnitude Matlab

format long Matlab

Dot Product MATLAB

Jacobian Matlab

Convolution Matlab

Moving Average Matlab

Fourier Series Matlab

Gaussian Fit Matlab

Bisection Method Matlab

Laplace Transform MATLAB

Signal Processing Matlab

Matlab Forms

Complex Conjugate Matlab

uigetfile Matlab

MATLAB Toolbox

Matlab Errorbar

Matlab Index Exceeds Matrix Dimensions

Nyquist Matlab

Impulse Response Matlab

xlsread Matlab

Matplotlib Scatter

Matlab Import Data

Programs

Square Root in Matlab

Factorial in Matlab

Cell to String MATLAB

Interview Questions

MATLAB Interview Questions

Matlab Tutorial

MATLAB acronym as a matrix laboratory. It is a fourth-age high-level programming language and intuitive condition for numerical calculation, representation, and programming. It permits network matrix manipulations; plotting of capacities and information; execution of calculations; making of UIs it is created by MathWorks. It began as a grid(matrix) programming language where linear algebra math writing computer programs was basic. This tutorial exercise gives a delicate presentation of MATLAB programming language. The fundamental information component of MATLAB as the name proposes is the Matrix or an exhibit.

Why do we need to learn Matlab?

  • MATLAB can be totally awesome for perceptions, a quick option to cooking up your own algorithms.
  • Matlab is versatile to data science and is generally applied in a scope of enterprises from fund, vitality and medical gadgets to modern robotization, car, and aviation in different capacities for business-basic applications.
  • Best for Matrix Computation.
  • Fast Prototyping (means fast coding).
  • Best Plotting tool.

Applications of Matlab

MATLAB is broadly utilized as a computational apparatus in science and designing incorporating the fields of material science, science, math, and all building streams. It is utilized in a scope of applications including:

  • Machine Learning(ML) - Measurable strategies, for example, illustrative or inferential can be effectively implemented.
  • Curve fitting - The bend fitting tool helps to analyze data occurrence patterns.
  • Deep Learning - It’s a subclass of AI which can be utilized for speech recognition, financial fraud detection, medical image analysis.
  • Image processing - The advanced image processing additionally assumes a serious significant job in transmitting information from distant satellites and accepting and decoding it similarly.
  • Drawing Bar Charts- For educational point of view drawing bar graphs is very important in analyzing the data.

There is much more application of Matlab which can be found in day to day life. The above discussed is the important application so far considered in this article.

Example

Let us have a fanciful study hall with 10 students. We know the percent of marks acquired by these students are 10,20,30,40, and 50. We will draw the bar diagram for this information.

x = [1:5];

y = [10,20,30,40,50];

bar(x,y),xlabel('Student'),ylabel('Score'),

title('Exam Score:')

print -deps graph.eps.

When we run the file, the below chart is displayed in MATLAB.

chart is displayed in MATLAB

Prerequisites

We accept you have a little information on any PC programming and comprehend ideas like variables, constants, expression, statements, etc. In the event that you have done programming in some other significant-level programming language like C, C++ or Java, at that point it will be particularly valuable and learning MATLAB will resemble a diversion for you.

Target Audience

This tutorial has been set up for the novices to assist them with understanding fundamental to cutting edge usefulness of MATLAB. In the wake of finishing this instructional exercise, you will end up at a moderate degree of skill in utilizing MATLAB from where you can take yourself to next levels.

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