- Learn the cutting-edge Algorithms in the field of Machine Learning, Deep Learning, Artificial Intelligence, and more!
- Free tutorial
- Rating: 4.1 out of 54.1 (149 ratings)
- 13,991 students
- 40min of on-demand video
- Created by Taimur Zahid
- English
What you’ll learn
- Machine Learning algorithms
- Artificial Intelligence algorithms
- Information Retrieval algorithms
- Deep Learning algorithms
- Quantum Computing algorithms
- Computer Vision algorithms
- Natural Language Processing algorithms
Requirements
- Understanding of Calculus and Linear Algebra will help better understand most of the concepts discussed here. But you can look for helpful resources alongside studying this course.
Description
This course focuses on the theoretical aspects of the field of Data Science and Machine Learning. It helps the students to quickly gain an in-depth overview of different algorithmic techniques used in various domains and applications. This course features external links to further enhance the experience and reinforce the concepts acquired. It also provides easy explanations of popular and useful research papers that are driving this field forward.
Who this course is for:
- Aspiring and Professional Data Scientists and Machine Learning Engineers.
- Students pursuing their PhD and looking for a refresher course.
Course content
2 sections • 10 lectures • 40m total lengthCollapse all sections
Survival Analysis5 lectures • 19min
- Introduction to Survival Analysis02:38
- Censorship03:49
- The Survival Function and the Hazard Function02:36
- Kaplan-Meier Estimate and Nelson Aalen Fitter03:09
- Survival Regression – Cox Proportional Hazard Regression Model06:39
Information Retrieval5 lectures • 21min
- Introduction to Information Retrieval02:27
- Text Preprocessing04:31
- Term-Document Incidence Matrix01:55
- Inverted Index05:30
- Retrieval Vector Space Model06:54
