Summary : ML for Business Professionals

A Must-Have Mindset to Successfully use Machine Learning by Google

Pisit J.
Sum up As A Service

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Key message

The great benefit of ML is not only high accuracy, but also Data-Driven & Automatic Action.

What is Machine Learning ?

ML is a way to use algorithm to derive insights from data and make repeated decisions.

How to build Machine Learning ?

- Define your business goal

- Define what kinds of Machine Learning that help

- Collect relevant data

- Train your ML

- Deploy your ML to real-world application

- Evaluate & Improve your ML

What Machine Learning can do ?

Why Machine Learning, not Manual Rule-based ?

Few Feature

— Manual Rule-based maybe enough.

small & simple rule

Many Feature

— Manual Rule-based is hard to maintain & scale.

huge & complex rule

With ML, it can learn by your data and generate these complex rules for you !

ML & Personalization

Statistics — cover your major customers.

Machine Learning — give possibility to access all type of your customers.

ML & Recommendation

Best Practices for applying Machine Learning

Start Simple !

Successful ML is not built in one night !

Be careful of Bias !

- Race, Gender, Religion, Country

- Unfair bias can make your ML impractical

Bias can be in any step of building ML

Last Takeaway

Even ML is convenient to use, you have to be responsible of impact from ML to your customers.

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