Basic idea
Understanding image processing
Image features
Image analysis
Solving problems
Idea generation
Research methodologies
Image Processing to Machine Learning
At Least 3 Real Life Applicable Projects
Resources
Basics of Machine Learning
Mathematics behind Machine Learning
Application Overview
Differences and similarities among data science, machine and predictive modeling
Various Techniques of Machine Learning
Formulating a Machine Learning Problem
Solving Algorithms
At Least 3 Real Life Applicable Projects
Resources
Basics of Data Science
Applications
Where to Apply
Differences and similarities among data science, machine and predictive modeling
Mathematics behind Machine Learning
Application Overview
Various ideas of Data Science
Using data science in real life
Solving Algorithms
Knowledge extraction
Pattern Recognition
At Least 3 Real Life Applicable Projects
Resources
Basics of Predictive Modeling
Mathematics behind Predictive Modeling
Application Overview
Differences and similarities among data science, machine and predictive modeling
Various Techniques of Predictive Modeling
Formulating a Predictive Model
Feature Engineering
Data Pre-processing
Modeling Data for building and solving a Predictive Model
Solving Algorithms
At Least 3 Real Life Applicable Projects
Resources
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Researching on Mathematical Modeling, Simulation, System Theory, Hydrodynamics, Signal Processing, and Control Theory.
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Lecturer
Department of Mathematics
American International University-Bangladesh
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Ex Student
Mathematics Discipline
Science, Engineering and Technology School
Khulna University, Khulna
Bangladesh
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President
Student Chapter
Khulna University
Researching on Mathematical Modeling, Optimal Control, Simulation, Data Modeling, Image Processing , Machine Learning and Deep Learning.
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BACHELOR OF SCIENCE
Major in Mathematics
Khulna University
Science, Engineering and Technology School
Khulna University, Khulna, Bangladesh
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Director of Social Welfare and Communication
Student Chapter, Khulna University
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Basic of Mathematical Modeling
Applications of Mathematical Modeling
System Theory and Modeling
Differential Equations
Statistics and Probability
Markov Process
Bayes Theorem and Applications
Analysis of A Model
Validation of a Model
Solving a Model( Analytically and Numerically)
Solving Algorithms
At Least 3 Real Life Applicable Projects
Resources