To Learn machine learning , Be a learning Machine
Instructed by: Hazem Khaled Mohamed ABDELKAWY | Subject: Academics, Math & Science
Instructed by: Hazem Khaled Mohamed ABDELKAWY | Subject: Academics, Math & Science
Description
To provide students with an in-depth introduction to two main areas of Machine Learning: supervised and unsupervised. We will cover some of the main models and algorithms for regression, classification and clustering. . Topics will include linear and logistic regression, regularization, SVMs and kernel methods, ANNs, clustering, and dimensionality reduction. The module will use primarily the Python programming language.Outcome
- You'll be aware with Python syntax and you'll be able to program what you'll have learned in a final project you'll develop locally.
Course Info
- 66 Lectures
- 9.5 Hours
- Language: English
- Subject: Academics, Math & Science
- Instructed by: Hazem Khaled Mohamed ABDELKAWY
- Last updated on May 2017
- Platform: Udemy