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Machine Learning - Algorithms in the Real World Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
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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:

  • Applied Machine Learning
  • Machine Learning Algorithms: Supervised Learning Tip to Tail
  • Data for Machine Learning
  • Optimizing Machine Learning Performance

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.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Audit: free access to course materials except graded items
  • Certificate: a trusted way to showcase your skills
  • A year of unlimited access with Coursera Plus $199

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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