Machine Learning For Researchers

Machine Learning For Researchers, available at $54.99, has an average rating of 4.6, with 13 lectures, based on 109 reviews, and has 16928 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginners for Machine Learning & Research It is particularly useful for Beginners for Machine Learning & Research.

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Summary

Title: Machine Learning For Researchers

Price: $54.99

Average Rating: 4.6

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Beginners for Machine Learning & Research

Target Audiences

Beginners for Machine Learning & Research

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,

Course Curriculum

Chapter 1: Introduction to Research

Lecture 1: Getting Ready

Lecture 2: Finding a research problem

Lecture 3: Finalzing your objectives

Lecture 4: Positivism

Lecture 5: Interpretivism

Chapter 2: Introduction to Machine Learning

Lecture 1: Downloading and Setting up Anaconda for Machine Learning

Lecture 2: Introduction to Google Colabs

Lecture 3: Support Vector Machines – Concept

Lecture 4: Support Vector Machines – Hands – On with Google Collabs

Lecture 5: Trees Concept

Lecture 6: Trees Hands On….

Lecture 7: Random Forest – Hands – On with Google Collabs

Lecture 8: KERAS Tutorial : Developing an Artificial Neural Network in Python [Step by Step

Instructors

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant
Kaneeka Vidanage
Senior Lecturer and Researcher in AI and Semantic Web

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 17 votes
4 stars: 38 votes
5 stars: 49 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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