Digital Image Processing Using Matlab for Beginners

Learn MATLAB Programming for Engineers | MATLAB Training

Learn MATLAB Programming for Engineers | MATLAB Training

Learn to use MATLAB for problem solving, run scripts, write code and do data analysis and visualization, solve equations, do math operations and manipulate matrices, and formulate your own logic and convert complex problems into MATLAB code and solve them using programming skills.

Description
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. In this course, we will start learning MATLAB from a beginner level, and will gradually move into more technical and advance topics. This course is designed to be general in scope which means that it will be beneficial to students in any major. Once, passed a certain learning thresholds, you will definitely enjoy MATLAB Programming. The key benefit of MATLAB is that it makes the programming available to everyone and is very fast to turn ideas into working products compared to some of the conventional programming languages such as Java, C, C++, visual basic and others.

Below is the detailed outline of this course.

Segment 1: Instructor and Course Introduction
Segment 2: Handling variables and Creating Scripts
Segment 3: Doing Basic Maths in MATLAB
Segment 4: Operations on Matrices
Segment 5: Advance Math Functions with Symbolic Data Type
Segment 6: Interacting with MATLAB and Graphics
Segment 7: Importing Data into MATLAB
Segment 8: File Handling and Text Processing
Segment 9: MATLAB Programming
Segment 10: Sharing Your MATLAB Results
Segment 11: Cell Data Type
Segment 12: Tables and Time Tables
Segment 13: Working with Structures and Map Container Data Type
Segment 14: Converting between Different Data Types
Your Benefits and Advantages:

If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
You will be sure of receiving quality contents since the instructors has already four courses in the MATLAB niche which are ranked in the top 10 courses in the MATLAB niche
You have lifetime access to the course
You have instant and free access to any updates i add to the course
You have access to all Questions and discussions initiated by other students
You will receive my support regarding any issues related to the course
Check out the curriculum and Freely available lectures for a quick insight
It's time to take Action!

Click the "Add to Cart" button at the top right now!

Time is limited and Every second of every day is valuable.

We are excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

More Benefits and Advantages:

You receive knowledge from an experienced instructor (Dr. Nouman Azam) who is the creator of five courses on Simpliv in the MATLAB niche.
The titles of these courses are
MATLAB from A to Z: From Programming to App Desiging
Data Analysis with MATLAB for EXCEL Users.
MATLAB App Desigining: The Ultimate Guide for MATLAB Apps
Create Apps in MATLAB with App Designer (Codes Included)
Advance MATLAB Data Types and Data Structures
You find majority of these courses on the first page in the MATLAB niche
Student Testimonials for Dr. Nouman Azam!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Who is the target audience?

Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators who wants to quickly create front ends for their users to run their code and projects
Basic knowledge
The students must install MATLAB on their computers
The course is self explainatory and do not need any prior knowledge of MATLAB
To continue:

MATLAB Numpy element wise multiplication issue

Please see the MATLAB code and equivalent Numpy code below. Question: How can I get the D variable same in Numpy as MATLAB's?

Please see the MATLAB code and equivalent Numpy code below. Question: How can I get the D variable same in Numpy as MATLAB's?

MATLAB Code

A = [1 2 3; 4 5 6; 7 8 9]

C = [100 1; 10 0.1; 1, 0.01]

C = reshape(C, 1,3,2)

D = bsxfun(@times, A, C)

D(:,:,1) =

   100    20     3
   400    50     6
   700    80     9

D(:,:,2) =

1.0000    0.2000    0.0300
4.0000    0.5000    0.0600
7.0000    0.8000    0.0900

Numpy Code

A = np.array([[1,2,3],[4,5,6],[7,8,9]])

C = np.array([[[100, 1], [10, 0.1], [1, 0.01]]]) # C.shape is (1, 3, 2)

D = A * C.T

D

array([[[100.  , 200.  , 300.  ],
        [ 40.  ,  50.  ,  60.  ],
        [  7.  ,   8.  ,   9.  ]],

       [[  1.  ,   2.  ,   3.  ],
        [  0.4 ,   0.5 ,   0.6 ],
        [  0.07,   0.08,   0.09]]])


Learn Machine Learning Classification Algorithms using MATLAB

Learn Machine Learning Classification Algorithms using MATLAB

Classification is a very interesting area of machine learning (ML). Learn the basics of MATLAB and understand how to use different machine learning algorithms using MATLAB, with emphasis on the MATLAB toolbox called statistic and machine learning toolbox. Learn the common classification algorithms.

Description
This course is for you If you are being fascinated by the field of Machine Learning?

Basic Course Description

This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB. Following that we will look into the details of how to use different machine learning algorithms using MATLAB. Specifically, we will be looking at the MATLAB toolbox called statistic and machine learning toolbox.We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Ouput Codes and Ensembles. Following that we will be looking at how to cross validate these models and how to evaluate their performances. Intuition into the classification algorithms is also included so that a person with no mathematical background can still comprehend the esesential ideas. The following are the course outlines.

Segment 1: Instructor and Course Introduction
Segment 2: MATLAB Crash Course
Segment 3: Grabbing and Importing Dataset
Segment 4: K-Nearest Neighbor
Segment 5: Naive Bayes
Segment 6: Decision Trees
Segment 7: Discriminant Analysis
Segment 8: Support Vector Machines
Segment 9: Error Correcting Ouput Codes
Segment 10: Classification with Ensembles
Segment 11: Validation Methods
Segment 12: Evaluating Performance
At the end of this course,

You can confidently implement machine learning algorithms using MATLAB
You can perform meaningful analysis on the data
Student Testimonials!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

This course is really good for a beginner. It will help you to start from ground up and move on to more complicated areas. Though it does not cover Matlab toolboxes etc, it is still a great basic introduction for the platform. I do recommend getting yourself enrolled for this course.Excellent course and instructor. You learn all the fundamentals of using MATLAB.

Lakmal Weerasinghe

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Your Benefits and Advantages:

You receive knowledge from a PhD. in Computer science (machine learning) with over 10 years of teaching and research experience, In addition to 15 years of programming experience and another decade of experience in using MATLAB
The instructor has 6 courses on Simpliv on MATLAB including a best seller course.
The overall rating in these courses are (4.5/5)
If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
You have lifetime access to the course
You have instant and free access to any updates i add to the course
You have access to all Questions and discussions initiated by other students
You will receive my support regarding any issues related to the course
Check out the curriculum and Freely available lectures for a quick insight.

It's time to take Action!

Click the "Take This Course" button at the top right now!

Time is limited and Every second of every day is valuable.

I am excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

Who is the target audience?

Researchers, Entrepreneurs, Instructors and Teachers, College Students, Engineers, Programmers and Simulators
Basic knowledge
Just basic high level math
What will you learn
Use machines learning algorithms confidently in MALTAB
Build classification learning models and customize them based on the datasets
Compare the performance of diffferent classification algorithms
Learn the intuition behind classification algorithms
Create automatically generated reports for sharing your analysis results with friends and colleague

To continue: