- From www.coursera.org
Machine Learning: Classification
Course
en
English
Subtitles available
35 h
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- Self-paced
- Free Access
- Fee-based Certificate
- 7 Sequences
- Introductive Level
- Subtitles in Arabic
Course details
Syllabus
- Week 1 - Welcome!
Classification is one of the most widely used techniques in machine learning, with a broad array of applications, including sentiment analysis, ad targeting, spam detection, risk assessment, medical diagnosis and image classification. The core goal of classifi... - Week 1 - Linear Classifiers & Logistic Regression
Linear classifiers are amongst the most practical classification methods. For example, in our sentiment analysis case-study, a linear classifier associates a coefficient with the counts of each word in the sentence. In this module, you will become proficient i... - Week 2 - Learning Linear Classifiers
Once familiar with linear classifiers and logistic regression, you can now dive in and write your first learning algorithm for classification. In particular, you will use gradient ascent to learn the coefficients of your classifier from data. You first will ne... - Week 2 - Overfitting & Regularization in Logistic Regression
As we saw in the regression course, overfitting is perhaps the most significant challenge you will face as you apply machine learning approaches in practice. This challenge can be particularly significant for logistic regression, as you will discover in this m... - Week 3 - Decision Trees
Along with linear classifiers, decision trees are amongst the most widely used classification techniques in the real world. This method is extremely intuitive, simple to implement and provides interpretable predictions. In this module, you will become familiar... - Week 4 - Preventing Overfitting in Decision Trees
Out of all machine learning techniques, decision trees are amongst the most prone to overfitting. No practical implementation is possible without including approaches that mitigate this challenge. In this module, through various visualizations and investigatio... - Week 4 - Handling Missing Data
Real-world machine learning problems are fraught with missing data. That is, very often, some of the inputs are not observed for all data points. This challenge is very significant, happens in most cases, and needs to be addressed carefully to obtain great per... - Week 5 - Boosting
One of the most exciting theoretical questions that have been asked about machine learning is whether simple classifiers can be combined into a highly accurate ensemble. This question lead to the developing of boosting, one of the most important and practical ... - Week 6 - Precision-Recall
In many real-world settings, accuracy or error are not the best quality metrics for classification. You will explore a case-study that significantly highlights this issue: using sentiment analysis to display positive reviews on a restaurant website. Instead of... - Week 7 - Scaling to Huge Datasets & Online Learning
With the advent of the internet, the growth of social media, and the embedding of sensors in the world, the magnitudes of data that our machine learning algorithms must handle have grown tremendously over the last decade. This effect is sometimes called "Big D...
Prerequisite
None.
Instructors
Carlos Guestrin
Amazon Professor of Machine Learning
Computer Science and Engineering
Emily Fox
Amazon Professor of Machine Learning
Statistics
Editor
The University of Washington is a public research university in Seattle, Washington. Founded on November 4, 1861 as Territorial University, Washington is one of the oldest universities on the West Coast and was established in Seattle about a decade after the city's founding.
The university has a 703-acre main campus located in the city's University District, as well as campuses in Tacoma and Bothell. Overall, UW comprises more than 500 buildings and more than 20 million gross square feet of space, including one of the world's largest library systems with more than 26 academic libraries, art centres, museums, laboratories, lecture halls and stadiums.
Washington is the flagship institution of Washington State's six public universities. It is renowned for its medical, technical and scientific research.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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