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