About This Course
Skills you'll learn from this course
- done_all Basics of Machine Learning as a subcategory of AI
- done_all Applications of Machine Learning
- done_all Classification of Machine Learning Methodologies
Join "Introduction to Machine Learning", the first and most fundamental course of the Artificial Intelligence course path, to get introduced to the fast growing world of Machine Learning, its different methodologies and applications. Firstly, students will discover basic key concepts about Machine Learning (ML) and the evolution of the field through time. Then, different applications of ML are presented, in order to show the broad spectrum of fields it can be used in. Finally, the main classification of different sub-categories of ML is explained, including supervised, unsupervised and semi-supervised learning, along with its connections to Data Mining.
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Course Features
- check_circle Programming Environment
- check_circle Jupyter Notebook
- check_circle Forum & Support
Course Chapters
Course Content
Course Objectives- Machine Learning Basics
- Evolution of ML
- ML KEY CONCEPTS I
- ML KEY CONCEPTS II
- ML Applications I
- ML Applications II
- ML Classification
- ML: Supervised I
- ML: Supervised II
- ML: Unsupervised
- DATA MINING
- Mini Challenge
- Upload Your Video
- Session Summary
- Course Completion
