Machine Learning For Researchers
Offered By: Udemy
Course Description
Overview
What you'll learn:
- Introduction to Research
- Finding a research problem
- Finalzing your objectives
- Research Methodology
- Introduction to Machine Learning:- What is Machine Learning ?,
- Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs
- Artificial Neural networks [Theory and practical sessions - hands-on sessions]
- Support Vector Machines
Indicative Module Content
Introduction to Research - This session will help you to start the wonderful journey of research. Research is useful for finding new opportunities , new discoveries and higher studies
Finding a research problem - Finding a research problem is the most important aspect of any research project . (Undergraduate, Postgraduate etc..)
Finalizing your objectives-
Research Methodology
Positivism
Interpretivism
Introduction to Machine Learning:- What is Machine Learning ?,-> in this session we will get an overview of machine learning
Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs -
(All the instructions will be provided to setup the environment successfully.)
Artificial Neural networks [Theory and practical sessions - hands-on sessions] - This practical hands-on session will guide you to create a comprehensive ANN project
Machine Learning Techniques : Support Vector Machines - Lecture &Hands - On with Google Collabs ,
Trees and Random Forest - Lecture &Hands-On with Google Collabs,
Taught by
Academy of Computing & Artificial Intelligence and Kaneeka Vidanage
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