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Introduction to Machine Learning

Art of the Possible

Nikki Gibson

The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currently or potentially involved in ML projects.

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What's inside

Syllabus

Introduction to Machine Learning: Art of the Possible
This course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currently or potentially involved in ML projects.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides best practices and recommendations for machine learning (ML) competency and integrates ML
Examines the roadmap for integrating machine learning into business processes
Focuses on business leaders and other decision-makers involved in ML projects

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Machine Learning: Art of the Possible with these activities:
Review basic statistics and probability
Ensure a solid foundation in statistics and probability, which are essential for machine learning.
Browse courses on Probability
Show steps
  • Review your notes or textbooks on basic statistics and probability
  • Take a practice quiz or exam to test your understanding
  • Identify areas where you need additional review
Read 'Machine Learning For Dummies'
Gain a foundational understanding of machine learning concepts.
View Data Analytics & Visualization All-in-One For... on Amazon
Show steps
  • Read Chapter 1: What is Machine Learning?
  • Read Chapter 2: Types of Machine Learning
  • Read Chapter 3: Machine Learning Algorithms
Join a machine learning study group
Collaborate with peers, discuss concepts, and learn from each other.
Show steps
  • Find a study group or create your own
  • Meet regularly to discuss machine learning topics
  • Work together on projects and assignments
Two other activities
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Show all five activities
Build a machine learning application
Create a practical application of machine learning concepts to reinforce your understanding.
Browse courses on Machine Learning Projects
Show steps
  • Identify a problem that can be solved with machine learning
  • Collect and prepare data
  • Choose and train a machine learning model
  • Deploy your model and evaluate its performance
Volunteer for a machine learning project
Gain practical experience and contribute to the machine learning community.
Show steps
  • Find a machine learning project or organization to volunteer with
  • Contact the organization and express your interest
  • Contribute to the project as directed by the organization

Career center

Learners who complete Introduction to Machine Learning: Art of the Possible will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Level
Introductory
Via
Coursera
Institution
Amazon Web Services
Instructor
Nikki Gibson
Session
August 26, 2024 - September 9, 2024
Language
English
Good to know
Provides best practices and recommendations for machine learning (ML) competency and integrates ML
Examines the roadmap for integrating machine learning into business processes
Focuses on business leaders and other decision-makers involved in ML projects
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