Machine Learning For Researchers
4.1 (34 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,565 students enrolled

Machine Learning For Researchers

Learn Research Methods & Machine Learning
New
4.1 (34 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,565 students enrolled
Last updated 6/2020
English
English [Auto]
Current price: $13.99 Original price: $19.99 Discount: 30% off
23 hours left at this price!
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This course includes
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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
Expand all 13 lectures 05:35:18
+ Introduction to Research
5 lectures 02:24:23
Finding a research problem
32:04
Finalzing your objectives
29:50
Positivism
31:22
Interpretivism
19:42
+ Introduction to Machine Learning
8 lectures 03:10:55
Introduction to Google Colabs
07:25
Support Vector Machines - Concept
15:39
Support Vector Machines - Hands - On with Google Collabs
48:38
Trees Concept
19:41
Trees Hands On....
25:48
Random Forest - Hands - On with Google Collabs
39:56
KERAS Tutorial : Developing an Artificial Neural Network in Python [Step by Step
29:35
Requirements
  • Internet connection & Basic python programming knowledge
Description

Indicative Module Content

Introduction to Research

Finding a research problem

Finalizing your objectives

Research Methodology

Positivism

Interpretivism

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]

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