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SkillsCast

From input to information – ML to the rescue!

21st March 2019 in London at CodeNode

There are 26 other SkillsCasts available from iOSCon 2019 - The conference for iOS and Swift Developers

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Inputting information can be a tedious process, so how can you use machine learning to solve this problem? One smart approach is to input in a natural language and using machine learning to parse it into classified information. If you've ever used features like Quick Add in Todoist you'll have seen this in action – machine learning can work so well it almost looks like it’s magic. Even if you don’t know anything about machine learning, come and learn how you can use Apple’s Natural Language framework in combination with other tools to recognise information in a smart, simple way.

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Thanks to our sponsors

From input to information – ML to the rescue!

Mukesh Thawani

Mukesh is an iOS Developer who is currently leading the mobile team at Applozic. He is mostly working on messaging SDKs which are used by millions of users. Interested in machine learning specifically natural language processing.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

Inputting information can be a tedious process, so how can you use machine learning to solve this problem? One smart approach is to input in a natural language and using machine learning to parse it into classified information. If you've ever used features like Quick Add in Todoist you'll have seen this in action – machine learning can work so well it almost looks like it’s magic. Even if you don’t know anything about machine learning, come and learn how you can use Apple’s Natural Language framework in combination with other tools to recognise information in a smart, simple way.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

From input to information – ML to the rescue!

Mukesh Thawani

Mukesh is an iOS Developer who is currently leading the mobile team at Applozic. He is mostly working on messaging SDKs which are used by millions of users. Interested in machine learning specifically natural language processing.

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