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Machine Learning Introduction for Everyone
  • Level Foundation
  • Duration 7 hours
  • Course by IBM
  • Offered by

About

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency. After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. This Course Is Part of Multiple Programs You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning.

Modules

Machine Learning for Everyone

    • 6 Videos
    • 2 Readings
    • 2 Plugin
    • 1 Assignment
Show info about module content

1 Assignment

  • Graded Quiz

6 Videos

  • Introduction to Machine Learning for Everyone
  • Machine Learning History
  • Interesting Applications of Machine Learning
  • Machine Learning Model Lifecycle
  • A Day in the life of a Machine Learning Engineer
  • Tools for Machine Learning

2 Readings

  • Course Introduction
  • Module Summary

Machine Learning Topics

    • 8 Videos
    • 1 Readings
    • 3 Plugin
    • 1 Assignment
Show info about module content

1 Assignment

  • Graded Quiz

8 Videos

  • Supervised vs Unsupervised Learning
  • Classification
  • Regression
  • Evaluating Machine Learning Models
  • Introduction to Deep Learning
  • Reinforcement Learning
  • Generative AI Overview and Use Cases
  • Generative AI Applications

1 Readings

  • Module Summary

Course Wrap-Up

    • 3 Readings
Show info about module content

3 Readings

  • Course Summary
  • Congrats and Next Steps
  • Course Team and Acknowledgements

(Optional Honors) Final Project

    • 1 Readings
    • 1 PeerReview
    • 1 ExternalTool
    • 2 Plugin
Show info about module content

1 External Tool

  • Obtain IBM Cloud Feature Code and Activate Trial Account

1 Peer Review

  • Final Project Submission and Peer Evaluation

1 Readings

  • Final Project Overview

Auto Summary

Unlock the fascinating world of machine learning and data science with the "Machine Learning Introduction for Everyone" course. Designed for beginners, this foundational course spans three modules, guiding you through the essentials of machine learning models. You'll delve into the history, applications, and lifecycle of machine learning, while exploring key concepts like supervised and unsupervised learning, classification, regression, and model evaluation. Hands-on labs provide practical experience, allowing you to develop concrete skills and complete a final project that showcases your proficiency. By the end of this course, you will understand how to harness the power of machine learning algorithms and artificial intelligence to enhance business scenarios, predict outcomes, and explain behaviors. Additionally, you'll learn to evaluate models and apply best practices in your work. Offered by Coursera and part of the broader IBM Machine Learning Professional Certificate program, this course paves the way for a career in machine learning. With a total duration of 420 minutes, the course is available through a Starter subscription, making it accessible and affordable for all aspiring data scientists and AI enthusiasts. Join today and take your first step into the dynamic field of machine learning!

Aije Egwaikhide
Instructors

Aije Egwaikhide

Yasmine Hemmati
Instructors

Yasmine Hemmati