Introduction to AI, Machine Learning and Data Science
Introductory Course for Beginners to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised ML
Description
Lets learn basics to transform your career.
I promise not to exhaust you with huge number of videos.
Artificial Intelligence, Machine Learning, Data Science are the most hot skills in the markets which has potential to help you earn highest salary. These skills has potential to turn your financial to better level which can provide you growth and prosperity.
Welcome to the most comprehensive Introduction to AI, Machine Learning and Data Science course!
An excellent choice for beginners and professionals looking to expand their knowledge on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised Learning.
This is an introductory course for beginners to boost your knowledge. This course gives introduction to to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised learning with real time examples where machine learning can be applied to solve or simplify real world business problems.
What you'll learn
Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.
Real time examples where Machine Learning can be used to solve real world business problems
Introduction to Supervised Learning and Unsupervised Learning
Introduction to Natural Language Processing
Why python is popular for Machine Learning
Prerequisite:
You just need computer or mobile phone with internet connection to access course material.
No prerequisites !
Happy Learning!
What You Will Learn!
- Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.
- Real time examples where Machine Learning can be used to solve real world business problems
- Introduction to Supervised Learning and Unsupervised Learning
- Introduction to Natural Language Processing
- Why python is popular for Machine Learning
Who Should Attend!
- Beginners to AI, Machine Learning and Data Science
- Students or Professionals
- Testers, Database Developers
- Managers
- Java Developers
- Full Stack Developers etc.