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Machine Learning - Algorithms in the Real World Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

The Machine Learning - Algorithms in the Real World Specialization offered by Coursera in partnership with Alberta Machine Intelligence Institute is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. 

Overview

Whether finance, medicine, engineering, business or other domains, this Machine Learning - Algorithms in the Real World Specialization offered by Coursera in partnership with Alberta Machine Intelligence Institute will set you up to define, train, and maintain a successful machine learning application. 

After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.

What you will 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

Programme Structure

Courses include:

  • Machine Learning Problem Definition
  • Data Preparation for Machine Learning
  • Supervised Learning Techniques
  • Model Evaluation and Validation
  • Feature Engineering and Model Optimization
  • Machine Learning Project Deployment and Maintenance

Key information

Duration

  • Part-time
    • 1 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level
  • We recommend a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
  • This specialization is aimed at learners and professionals across domains who want to develop practical skills in building, training, and deploying machine learning models for real‑world applications.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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