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4 Key Steps in Preprocessing Data for Machine Learning

Aiiot Talk

Just as a strong foundation ensures the durability and safety of a home, effective preprocessing ensures the success of artificial intelligence (AI) projects. Each category gets its own column with one-hot encoding, and each category has a unique number with label encoding.

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Essay competition on the Automation of Wisdom and Philosophy — $25k in prizes

AI Impacts

Background AI is likely to automate more and more categories of thinking with time. A non-exhaustive set of questions of interest, in four broad categories: Automation of wisdom What is the nature of the sort of good thinking we want to be able to automate? What are traps in thinking that is smart but not wise? Nonprofits?

professionals

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning Blog

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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Ivan Crewkov CEO & Co-Founder of Buddy AI – Interview Series

Unite.AI

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. In 2014, you launched Cubic.ai, one of the first smart speakers and voice-assistant apps for smart homes.

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PRESTO – A multilingual dataset for parsing realistic task-oriented dialogues

Google Research AI blog

They can help with everything from setting alarms to giving map directions and can even assist people with disabilities to more easily manage their homes. Posted by Rahul Goel and Aditya Gupta, Software Engineers, Google Assistant Virtual assistants are increasingly integrated into our daily routines.

NLP 98
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AI2’s Hackathon 2023

Allen AI

In past years, Hackathon projects have led to hilarious digital versions of AI2 employees and dubious smart speaker apps, but they’ve also ended up in projects that went farther than the 2.5-day day hacking spree. For example, SUPP.AI started as a Hackathon project that became one of the most widely accessed demos from AI2.

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Designing Societally Beneficial Reinforcement Learning Systems

BAIR

To continue the thermostat example - a ‘smart home’ thermostat might analyze historical temperature measurements and adapt its control parameters in accordance with seasonal shifts in temperature, for instance to have a more aggressive control scheme during winter months. work together on real world RL deployments.

Robotics 147