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Machine Learning Terminology and Process

Discover the core terminology and processes behind machine learning, from data preparation to model development.

  • Duration

    1 week
  • Weekly study

    1 hour
  • 100% online

    How it works
  • Digital upgrade

    Free

Discover the terminology and process behind machine learning

Explore the core terminology and machine learning process by examining each stage of the machine learning lifecycle, common techniques, workflows, and data processing steps that support effective model development.

Apply machine learning concepts with confidence

Discover how key machine learning terminology, project stages, and common techniques support effective project planning, data preparation, and model development throughout the machine learning lifecycle.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

Syllabus

  • Week 1

    Machine Learning Terminology and Process

    • Machine Learning Terminology and Process

      In this activity, you will review core machine learning terminology and walk through each phase of the ML process, while examining key tools like Amazon Redshift and Amazon S3 for data collection and integration.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Discuss the machine learning process
  • Highlight the basic ML terms used in a ML project
  • Describe each ML step in detail
  • Describe common techniques used in each step of a ML process

Who is the course for?

This course is ideal for Developers who want to understand the components in a ML process

Who developed the course?

Amazon Web Services (AWS)

AWS is the world’s most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently.

What's included?

Amazon Web Services (AWS) are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get:

  • Unlimited access to this course
  • Includes any articles, videos, peer reviews and quizzes
  • A PDF Certificate of Achievement to prove your success when you’re eligible
  • Learning on FutureLearn

    Your learning, your rules

    • Courses are split into weeks, activities, and steps to help you keep track of your learning
    • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
    • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

    Join a global classroom

    • Experience the power of social learning, and get inspired by an international network of learners
    • Share ideas with your peers and course educators on every step of the course
    • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

    Map your progress

    • As you work through the course, use notifications and the Progress page to guide your learning
    • Whenever you’re ready, mark each step as complete, you’re in control
    • Complete 90% of course steps and all of the assessments to earn your certificate

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