University of Washington
Practical Predictive Analytics: Models and Methods
University of Washington

Practical Predictive Analytics: Models and Methods

This course is part of Data Science at Scale Specialization

Taught in English

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Bill Howe

Instructor: Bill Howe

36,454 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.1

(314 reviews)

6 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Add to your LinkedIn profile

Assessments

1 quiz

Course

Gain insight into a topic and learn the fundamentals

4.1

(314 reviews)

6 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Data Science at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

Learn the basics of statistical inference, comparing classical methods with resampling methods that allow you to use a simple program to make a rigorous statistical argument. Motivate your study with current topics at the foundations of science: publication bias and reproducibility.

What's included

28 videos

Follow a tour through the important methods, algorithms, and techniques in machine learning. You will learn how these methods build upon each other and can be combined into practical algorithms that perform well on a variety of tasks. Learn how to evaluate machine learning methods and the pitfalls to avoid.

What's included

26 videos1 reading1 quiz

You will learn how to optimize a cost function using gradient descent, including popular variants that use randomization and parallelization to improve performance. You will gain an intuition for popular methods used in practice and see how similar they are fundamentally.

What's included

11 videos

A brief tour of selected unsupervised learning methods and an opportunity to apply techniques in practice on a real world problem.

What's included

4 videos1 peer review

Instructor

Bill Howe
University of Washington
4 Courses87,267 learners

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Recommended if you're interested in Data Analysis

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Showing 3 of 314

4.1

314 reviews

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    5.73%

WE
4

Reviewed on Feb 3, 2017

NE
4

Reviewed on Jun 7, 2017

WL
5

Reviewed on Jun 5, 2016

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