Articles by "Courses"

Showing posts with label Courses. Show all posts

Monday, August 28, 2023 , ,
Teacher: Sanjay Singh and Yogita Aggarwal - Language: English - Videos: 396 - Duration: 30 hours and 41 minutes.

SPSS Masterclass: Learn SPSS From Scratch to Advanced is one of the top courses in the footsteps software SPSS statistical analysis to teach you. If you look from day to day increasing value of data and its analysis. Harvard University had predicted in a report in 2012. It was in the same report notes that researchers and statistical analysts will have a special place in the future. Today really happened.

Size is a lot more companies and businesses need to analyze this data to improve their businesses. This course interested in statistics for deep and accurate data analysis software SPSS will become familiar with the discussions. Understanding the different parts of the SPSS statistical applications requires familiarity with and without the knowledge of the sectors that can not be done useful work in the program. In this course topics such as how to understand and gain insight into the business, understanding consumer behavior, brand and even documentation of statistical journals and dissertations are well trained. This course is not specific to a particular class. The students, like students and researchers who have a good understanding of statistics and data analysis to achieve their personal projects can benefit from the concepts discussed in the course.

What you’ll learn: Analysis of numerical data in SPSS + Understand how to design research results for publication in scientific journals + Educational program of basic research + Detailed analysis of data in a standard format
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Friday, August 25, 2023 , , ,
Teacher: Nastaran Reza Nazar Zadeh - Language: English - Videos: 50 - Duration: 4 hours and 11 minutes.

Artificial Neural Network and Machine Learning using MATLAB This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don’t understand machine learning and Artificial Neural Network from the ground up. In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered. MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. At the end of this course, you’ll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

What you’ll learn: Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox + Apply Artificial Neural Networks in practiceBuilding Artificial Neural Network Model + Knowledge on Fundamentals of Machine Learning and Artificial Neural Network + Understand Optimization methods + Understand the Mathematical Model of a Neural Network + Understand Function approximation methodology + Make powerful analysis + Knowledge on Performance Functions + Knowledge on Training Methods for Machine Learning.
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Friday, August 25, 2023 , , ,
Teachers: Dr. H. T. Jadhav, Mayank Dadge - Language: English - Videos: 26 - Duration: 3 hours and 16 minutes.

This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Especially the students of Mechanical, Electrical, Automobile, Chemical, Aeronautical, Electronics, Computer science, Instrumentation, Mechatronics, Manufacturing, Robotics and Civil Engineering can learn MATLAB basics and solve Engineering Optimization problems in their area as part of mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches.

The course is designed in such a way that the student who is not well versed with MATLAB programing can learn the basics of MATLAB in the first part so that it is easy for him/her to understand MATLAB implementation of Artificial bee colony Algorithm to solve simple and advanced Engineering problems. The content is so organized that the learner should be able to understand Engineering optimization from scratch and solve research problems leading to publication in an international journal of high repute. It should be useful to students of all universities around the world.

What you’ll learn: Write MATLAB program to solve Engineering problems + Understand Artificial bee colony Optimization Algorithm (ABC) + Implement ABC Algorithm to solve benchmark problems + Implement ABC Algorithm to solve Mechanical Engineering problems + Design and develop MATLAB program using ABC Algorithm for Mechanical Engineering Optimization problem + Work on research problem leading to publication in international journals of high repute.
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