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Machine Learning For Researchers
Rating: 4.3 out of 5(134 ratings)
17,121 students

Machine Learning For Researchers

Learn Research Methods & Machine Learning
Last updated 6/2020
English

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

Course content

2 sections13 lectures5h 35m total length
  • Getting Ready31:25
  • Finding a research problem32:04
  • Finalzing your objectives29:50
  • Positivism31:22
  • Interpretivism19:42

Requirements

  • Internet connection & Basic python programming knowledge

Description

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,



Who this course is for:

  • Beginners for Machine Learning & Research