Practical decision making using no-code ML on AWS-Artificial Intelligence for everyone
Artificial Intelligence for everyone
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Practical decision making using no-code ML on AWS-The stages of analytics and its value
The stages of analytics and its value
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Practical decision making using no-code ML on AWS-AI, ML, and AutoML - what are they?
AI, ML, and AutoML - what are they?
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Practical decision making using no-code ML on AWS-Examples of AutoML, common business use cases, and business problem questions
Examples of AutoML, common business use cases, and business problem questions
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Common use cases & the art of the possible with AI and ML
Practical decision making using no-code ML on AWS-Forming a question around the most common ML problem types
Forming a question around the most common ML problem types
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Practical decision making using no-code ML on AWS-Exploring ways to better frame your business problem for ML
Exploring ways to better frame your business problem for ML
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Practical decision making using no-code ML on AWS-Time in data—being more explicit in your questions
Time in data—being more explicit in your questions
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Practical decision making using no-code ML on AWS-How to set up your data for each problem type
How to set up your data for each problem type
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Data preparation fundamentals and tips
Practical decision making using no-code ML on AWS-How to turn your business problem into a ML problem
How to turn your business problem into a ML problem
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Practical decision making using no-code ML on AWS-Building a model in theory
Building a model in theory
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Access no-code ML
Practical decision making using no-code ML on AWS-Building a model in practice
Building a model in practice
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Practical decision making using no-code ML on AWS-Overview of model results
Overview of model results
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Strengths and weaknesses of your model
Practical decision making using no-code ML on AWS-Gotchas
Gotchas
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More gotchas and types of bias
Practical decision making using no-code ML on AWS-Iterating on the model
Iterating on the model
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How often to retrain your model
Practical decision making using no-code ML on AWS-How to generate and read predictions
How to generate and read predictions
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Making practical decisions with ML predictions
Practical decision making using no-code ML on AWS-Sharing insights and predictions
Sharing insights and predictions
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Practical decision making using no-code ML on AWS-How to collaborate with the data science team
How to collaborate with the data science team
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How business analysts and data scientists achieve faster time-to-market using no-code ML and Amazon SageMaker Canvas
Practical decision making using no-code ML on AWS-Recap
Recap
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Final Assessment - expectations and getting started
Amazon SageMaker Canvas resource guide