Udemy

Genetic Algorithm for Machine Learning

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Free tutorial
Rating: 4.4 out of 5 (48 ratings)
2,802 students
1hr 32min of on-demand video
English

Working Principle of Genetics Algorithms
Natural Selection
Implementation of Natural Selection through Roulette Wheel
Crossover or Recombination
Concept of Probability of Crossover and Its usage in generation of Population
Mutation
Concept of Probability of Mutation and Its usage in generation of new features
Concept and Implementation of Elitism

Requirements

  • No

Description

This course covers the working Principle of Genetics Algorithms and its various components like Natural Selection, Crossover or Recombination, Mutation and Elitism in a a very simplified way.

GA are inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection.

Who this course is for:

  • Students taking Genetics Algorithm or Machine Learning or Artificial Intelligence Course
  • Machine Learning Enthusiast
  • Students preparing for placement tests and interviews

Instructor

Professor, CSED, TIET, Patiala, India
Parteek Bhatia
  • 4.3 Instructor Rating
  • 1,956 Reviews
  • 38,863 Students
  • 8 Courses

Parteek Bhatia is a Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala. Currently acting as Visiting Professor at the Department of Computer Science, Whitman College, Walla Walla, WA, USA. He is the recipient of the Young Faculty Research Fellowship from the Ministry of Electronics & Information Technology, Govt. of India. 

He is a Postdoctorate from Tel Aviv University, Israel, and a former Visting Professor at LAMBDA Lab, Tel Aviv University, Israel.

He has earned his BTech from SLIET and MS from BITS Pilani. He is a doctorate in the field of NLP from Thapar University and a post-doctorate from Tel Aviv University, Israel.

He has published more than 100 research papers and articles in Journals, Conferences, and Magazines of repute. He is a winner of the Gold Medal at the International competition UNL Olympiad II, UNL Olympiad III, and UNL Olympiad IV conducted by the UNDL Foundation in the years 2013 and 2014.

He is a well-known author and published textbooks in Databases and Data Mining. His latest book, “Data Mining and Data Warehousing: Principles and Practical Techniques,” was Published by Cambridge University Press in 2019. He is the author of popular books like “Simplified Approach to DBMS”, “Simplified Approach to Visual Basic” and “Simplified Approach to Oracle,” and “NoSQL in a Day”.

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