Research Methods
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How to Get a PhD, Finding the Right Research Topic, Advisor, University, and Funding Options for Your PhD.
Description
How do you discover the right topic for your PhD thesis, choose the ...
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Research Methods with shortcuts, 100% Practical.
Hello and welcome to our course. This course is structured in way so that anyone can easily understand how to write research paper no prior ...
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Systematic Literature Review : A Practical Guide
Systematic Literature Review, Meta Analysis, PICO, PEO, GRADE Framework
Description
The core purpose of this course is to introduce ...
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The Literature Review : A Comprehensive Six Step Guide, The step-by-step process using an applied critical-thinking model needed to produce a quality literature review.
This course serves as a ...
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How to do Research for Products Design Master Class TM, With Real Time Case Study and Case Method.
About the master class:
This project talks about the system level understanding of product ...
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Research Methodology for New Design TM, Awareness of Sexual Education With Case Study.
About the Master Class:
This course teaches how to do a design research methodology effectively ...
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Professional Development as a Researcher, An Overview of the Research Process.
This module is aimed at any student who had completed an undergraduate qualification and will prepare you to ...
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Literature Searching Made Easy - Ace Your Research Paper! Providing you the exact formula to create a highly efficient and successful literature search in 2022.
Learn the secrets of finding ...
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Genetic, Generative to Variational: Emerging AI Algorithms, Variational, Generative, Adversarial, Genetic Algorithm & Bayesian Inferences: Beginners Course on Machine Algorithms.
This course ...
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Deep Learning Algorithms: GA, VAE & GANs & RBM- Fundamentals, Deep Learning Algorithms- Variational AutoEncoders, RL, Generative Adversarial Networks, Genetic & Bayesian Inferences.
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Genetic Algorithms, VAE & GANs, RBM in DNNs- An Introduction, Genetic Algorithms, Variational AutoEncoders, RL, Generative Adversarial Networks & Bayesian Statistics in Deep Learning.
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