Alberta Machine Intelligence Institute
Machine Learning: Algorithms in the Real World Specialization
Alberta Machine Intelligence Institute

Machine Learning: Algorithms in the Real World Specialization

Machine Learning Real World Applications. Master techniques for implementing a machine learning project

Anna Koop

Instructor: Anna Koop

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(605 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(605 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Clearly define an ML problem

  • Survey available data resources and identify potential ML applications

  • Prepare data for effective ML applications

  • Take a business need and turn it into a machine learning application

Details to know

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Taught in English
54 practice exercises

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Alberta Machine Intelligence Institute

Specialization - 4 course series

What you'll learn

Skills you'll gain

Applied Machine Learning, Machine Learning, Supervised Learning, Data Ethics, Artificial Intelligence, Unsupervised Learning, Machine Learning Algorithms, Business Analysis, Product Lifecycle Management, Business Requirements, Performance Metric, Data Processing, and Data Quality

What you'll learn

Skills you'll gain

Supervised Learning, Machine Learning Algorithms, Regression Analysis, Performance Metric, Classification And Regression Tree (CART), Business Solutions, Python Programming, Machine Learning, Data Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Performance Analysis, Jupyter, and Applied Machine Learning
Data for Machine Learning

Data for Machine Learning

Course 311 hours

What you'll learn

Skills you'll gain

Data Transformation, Machine Learning, Data Quality, Test Data, Machine Learning Algorithms, Supervised Learning, Data Processing, Feature Engineering, Verification And Validation, Linear Algebra, Computer Programming, Applied Machine Learning, Data Cleansing, Unsupervised Learning, Data Validation, Python Programming, Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, and Statistical Analysis

What you'll learn

Skills you'll gain

Responsible AI, Ethical Standards And Conduct, Systems Integration, Machine Learning, Business Operations, MLOps (Machine Learning Operations), Risk Mitigation, Performance Metric, Business Strategy, Data Maintenance, Applied Machine Learning, and Stakeholder Communications

Earn a career certificate

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Instructor

Anna Koop
Alberta Machine Intelligence Institute
5 Courses39,889 learners

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