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DevelopmentData ScienceMachine Learning

Understanding Artificial Intelligence and Machine Learning

Comprehend Theory and Mathematics behind AI and ML Models
Rating: 3.9 out of 53.9 (5 ratings)
3,557 students
Created by Vinay Chaturvedi
Last updated 3/2021
English
English [Auto]

What you'll learn

  • Theory behind Artificial Intelligence and Machine Learning
  • Be able to correlate the Machine Learning models with the theory and concepts involved
  • Use Artificial Intelligence and Machine Learning to solve wide range of problems

Requirements

  • High school math

Description

Learn the theory and mathematics behind the most compelling science of Artificial Intelligence and Machine Learning!

What this course covers:

  1. Introduction to Artificial Intelligence and Machine Learning

  2. Python essentials with Python libraries used in Machine Learning

  3. Problem solving in Artificial Intelligence

  4. Knowledge Representation and Reasoning in context to Artificial Intelligence

  5. Types of Learning in AI and ML

  6. Mathematical and Statistical Preliminaries for Machine Learning

  7. Artificial Neural Networks

  8. Competitive Learning and Self Organizing Maps

  9. Fuzzy Neural Networks

  10. Linear and Logistic Regression

  11. Support Vector Machines (SVMs)

  12. Clustering algorithms

  13. Principle Component Analysis

  14. Brief Introduction about Deep Learning and Model Optimization Techniques

The field of Artificial Intelligence and Machine Learning requires thorough understanding of the concepts involved when you build, train, test and deploy your model, so that you can fine tune the model as per your needs. But that requires understanding of the core concepts and theory behind those models, and this course covers exactly that!

This course covers the Theory and Mathematics behind Artificial Intelligence and Machine Learning and touches upon various concepts such as Learning, Machine Learning algorithms and Artificial Neural Networks, thereby detailing each topic with elaborate theory involved.


What you will be able to achieve with this course:

1. Understand the concepts behind AI and ML

2. Make your own Machine Learning models and excel at work


So, go ahead and enroll for this course and demonstrate your knowledge to your peers at work or at college!

Who this course is for:

  • Beginner Machine Learning Engineers who want to understand the theory and concepts behind AI and ML
  • Students who want to pursue Artificial Intelligence and Machine Learning and want to learn the theory behind same

Instructor

Vinay Chaturvedi
Tech Tutor
Vinay Chaturvedi
  • 3.9 Instructor Rating
  • 5 Reviews
  • 3,557 Students
  • 1 Course

I am teaching AI and ML and other Software Development Courses as full time since past 7 years and have experience as a developer as well. I am assiduous and strive to help others to be a more productive self. I believe that teaching the appropriate subject to any student should be in as much detail as it can be, so that the student can utilize that knowledge in his/her field of work.

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