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Course Description

Machine learning (ML) is the use and development of computer systems with the ability to learn and discover patterns in data. You even encounter some of these systems on a daily basis; for example, a computer program can determine whether an email is spam or not spam, and a computer program can find patterns among shoppers and recommend products tailored toward their needs and interests. Learning to analyze and visualize data in meaningful ways is a critical step in your study of ML.

In this course, you will start by exploring the role that machine learning plays in the industry for decision making and its impact on your role. The characteristics of a particular problem, the data you have to work with, and the questions you want to answer will dictate what type of ML approach, method, and algorithm needs to be used. Once you cover the basic role of machine learning and the process from start to finish, you will gain experience in industry-relevant tools such as Jupyter Notebooks, NumPy, and Pandas.

Faculty Author

Brian D'Alessandro

Benefits to the Learner

  • Identify which machine learning problem types are appropriate for a given problem specification
  • Articulate the complete ML development process end to end
  • Understand the responsibility of ML engineers in developing fair models
  • Become familiar with various tools and packages used in the industry

Target Audience

  • Data scientists and data analysts
  • Programmers, developers, and software engineers
  • Statisticians
  • Product managers
  • Entrepreneurs
  • Working professionals seeking to upskill or career change

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Jul 03, 2024 to Jul 16, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
Type
2 week
Dates
Sep 25, 2024 to Oct 08, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
Type
2 week
Dates
Dec 18, 2024 to Dec 31, 2024
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
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