Machine Learning Foundations: A Case Study Approach
Learn Machine Learning Foundations: A Case Study Approach from University of Washington. Do you have data and wonder what it can tell you?
24 h
Machine Learning: Regression
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms).
22 h
Machine Learning: Classification
In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.
21 h
Business English: Networking
This course begins with a welcome message and an overview of the Specialization.
28 h
Introduction to Public Speaking
Learn Introduction to Public Speaking from University of Washington. This course gives you a reliable model for preparing and delivering effective presentations. In business, in school, and in public life, we are often called upon to “make a ...
17 h
Machine Learning: Clustering & Retrieval
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend.
17 h
Practical Predictive Analytics: Models and Methods
Statistical experiment design and analytics are at the heart of data science.
7 h
Business English: Making Presentations
This course teaches you language and techniques that will help you make effective presentations in English.
19 h
Practical Predictive Analytics: Models and Methods
Statistical experiment design and analytics are at the heart of data science.
8 h
Business English: Planning & Negotiating
In this course, the context is hosting an event and finding an appropriate venue for it.
36 h
Speaking to persuade: Motivating audiences with solid arguments and moving language
Learn Speaking to persuade: Motivating audiences with solid arguments and moving language from University of Washington.
18 h
Programming Languages, Part B
Programming Languages, Part B from University of Washington. [As described below, this is Part B of a 3-part course. Participants should complete Part A first -- Part B ""dives right in"" and refers often to material from Part A.]
17 h
Communicating Data Science Results
Learn Communicating Data Science Results from University of Washington.
9 h
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