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A Quick Introduction to Machine Learning

BeginnerCourse

Machine Learning, a foundational component of Artificial Intelligence, is often shrouded in mystery. This short course will demystify and explain the subject of Machine Learning. In just a few hours, you will be able to understand the concepts and the processes behind this revolutionary technology. Let this course take you into the forefront of the Machine Learning revolution!

4.6 (3k+ Reviews)

Language

  • English

Topic

  • Machine Learning

Enrollment Count

  • 10.28K

Skills You Will Learn

  • Machine Learning, Artificial Intelligence, Python, Data Science

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 3 hours

Platform

  • SkillsNetwork

Last Update

  • September 18, 2025
About this Course
By actively engaging with the course content, including video lectures, quizzes, and a hands-on lab, you will develop the skills and confidence necessary to effectively apply your newfound knowledge in Machine Learning.

Please note this short course does not issue a course completion certificate.

Course Syllabus

Module 1
  • Introduction to Machine Learning for Everyone
  • Machine Learning Model Life-cycle
  • A Day in the life of a Machine Learning Engineer
  • Tools for Machine Learning
Module 2
  • Supervised vs Unsupervised Learning
  • Classification
  • Regression
  • Evaluating Machine Learning Models
  • Hands-on Lab: Machine Learning in Python

Recommended Skills Prior to Taking this Course

  • Basic knowledge of Python programming language is recommended but not required.

Instructors

Vicky Kuo

Data Scientist

I believe that success isn't just about individual milestones, but also about uplifting and encouraging others to reach their potential. This is why I'm passionate about combining my technical background with my eagerness to help people overcome technological hurdles and accelerate growth. When I’m not on the job, I love hiking with my two dogs or relaxing in a coffee shop. There's nothing better than having an insightful conversation over coffee, or even better, some volunteer work! Please feel free to reach out to me on LinkedIn.

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Aije Egwaikhide

Data Scientist at Meta (Facebook)

Senior Data Scientist, Applied Statistician, Machine Learning, and Educator.

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Yasmine Hemmati

Skills Network data scientist Intern

Math, Statistics and Computer Science Student at the University of Toronto

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Wojciech "Victor" Fulmyk

Data Scientist at IBM

I am a data scientist and economist with a strong background in econometrics, time series analysis, causal inference, and statistics. I stand out for my ability to combine technical expertise with clear communication, turning complex data findings into practical insights for stakeholders at every level. Follow my projects to learn about data science principles, machine learning algorithms, and artificial intelligence agents.

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