Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Mindfulness Personal Development Personal Transformation Meditation Life Purpose Emotional Intelligence Neuroscience
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development Kotlin SwiftUI
Digital Marketing Google Ads (Adwords) Social Media Marketing Google Ads (AdWords) Certification Marketing Strategy Internet Marketing YouTube Marketing Email Marketing Retargeting
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Modeling Data Analysis Big Data
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Startup Business Plan Freelancing Blogging Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
30-Day Money-Back Guarantee
Development Data Science Neural Networks

Artificial Neural Networks tutorial - theory & applications

Machine learning algorithm (ANN) - simplified. See the use cases with R to understand the application
Rating: 4.2 out of 54.2 (25 ratings)
116 students
Created by Gopal Prasad Malakar
Last updated 8/2017
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Basics of Artificial Neural Network (ANN)
  • Terms and defintions associated with ANN
  • How does ANN work
  • How to solve binary classification problem using artificial neural network in R
  • How to solve multi level classification problem using artificial neural network in R
  • Data treatment guideline for using ANN
  • Pros and Cons of Neural Network

Course content

2 sections • 13 lectures • 1h 9m total length

  • Preview01:15
  • How to study this course?
    01:23
  • What is neural network? Motivation behind neural network
    07:03
  • Terms Associated with Neural Network
    07:12
  • Preview09:58
  • Data Preprocessing required to apply ANN
    05:24

  • Demo of neural network application on cheese data - can it predict the outcome?
    07:57
  • Demo of neural network application on multi class dependent variable?
    11:42
  • Pros n Cons of Neural Network Models
    03:57
  • Check your learning of ANN
    10 questions
  • Preview01:30
  • Assignment tasks
    02:03
  • Sample solution of assignment
    08:43
  • Closing Note
    01:30

Requirements

  • Should know basic R programming
  • Basic computer skills
  • Ability to locate resource supplied with this course on Udemy platform

Description

This course aims to simplify concepts of Artificial Neural Network (ANN). ANN mimics the process of thinking. Using it's inherent structure, ANN can solve multitude of problem like binary classifications problem, multi level classification problem etc.

The course is unique in terms of simplicity and it's step by step approach of presenting the concepts and application of neural network.

The course has two section

-------------------------------------------------------

Section 1 : Theory of artificial neural network

--------------------------------------------------------

  1. what is neural network
  2. Terms associated with neural network
    1. What is node
    2. What is bias
    3. What is hidden layer / input layer / output layer 
    4. What is activation function
    5. What is a feed forward model
  3. How does a Neural Network algorithm work?
    1. What is case / batch updating
    2. What is weight and bias updation 
    3. Intuitive understanding of functioning of neural network 
    4. Stopping criteria 
    5. What decisions an analyst need to take to optimize the neural network?
  4. Data Pre processing required to apply ANN

-------------------------------------------------------

Section 2 : Application of artificial neural network

--------------------------------------------------------

  1. Application of ANN for binary outcome
  2. Application of ANN for multi level outcome
  3. Assignment of ANN - learn by doing

Who this course is for:

  • Analytics professionals, who are trying to learn artificial neural network
  • Students, who are trying to make their career into analytics domain
  • Finance professionals, who want to get first hand exposure of artificial neural network concepts

Instructor

Gopal Prasad Malakar
Trains Industry Practices on data science / machine learning
Gopal Prasad Malakar
  • 4.1 Instructor Rating
  • 9,346 Reviews
  • 105,165 Students
  • 16 Courses

       I am a seasoned Analytics professional with 18+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy. 

I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. 

My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development,  Enterprise wide big data framework and streaming analysis. 

Please refer to my course for 

- SAS / R program details (syntax and options)

- SAS / R output deep dive

- Practical usage in Industrial situation

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Impressum Kontakt
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.