Machine learning

Categories: IT
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Introduction of Machine Learning (in Points)

  • Machine Learning (ML) is a branch of Artificial Intelligence (AI).

  • It enables computers to learn from data without explicit programming.

  • ML systems identify patterns, trends, and relationships in data.

  • Algorithms and statistical models are used to make predictions or decisions.

  • Performance improves as more data is provided to the system.

  • Main types of machine learning:

    • Supervised Learning – uses labeled data.

    • Unsupervised Learning – works with unlabeled data.

    • Reinforcement Learning – learns through rewards and penalties.

  • Machine learning is widely used in daily applications like recommendations and spam filters.

  • It plays an important role in healthcare, finance, education, and marketing.

  • ML supports automation, accuracy, and data-driven decision-making.

  • It is a key technology shaping the future of intelligent systems.

 
 
 

 
ChatGPT can make mistakes. Check important info. See Cookie Preference
Show More

What Will You Learn?

  • Automation – It automates repetitive and routine tasks.

Course Content

. Introduction to Machine Learning
Machine Learning ka meaning aur scope AI vs Machine Learning vs Deep Learning Applications of Machine Learning Advantages aur limitations

  • Introduction to Machine Learning
  • Introduction of Machine learning

Student Ratings & Reviews

No Review Yet
No Review Yet