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How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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Five open-source AI tools to know

IBM Journey to AI blog

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. As of this writing, tech giants are divided in opinion on the topic (this link resides outside of IBM).

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Claypot AI CEO on why you should deploy models the hard way

Snorkel AI

Chip Huyen, co-founder and CEO of Claypot AI gave a presentation entitled “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. I’m a co-founder of Claypot AI, and I assist with machine learning AI systems designed at Stanford. So we write a SQL definition.

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Claypot AI CEO on why you should deploy models the hard way

Snorkel AI

Chip Huyen, co-founder and CEO of Claypot AI gave a presentation entitled “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. I’m a co-founder of Claypot AI, and I assist with machine learning AI systems designed at Stanford. So we write a SQL definition.

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How to Be a Data Science Instructor with an Engineering Degree?

Mlearning.ai

I figured, what better way to multiply my impact, than to write articles that can be accessed by people all around the world! To start off my journey in Medium, I will write a post on something which many students and even relatives have asked me: “ How did I end up teaching data science when I had majored in Engineering ?”

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

Moving across the typical machine learning lifecycle can be a nightmare. Machine learning platforms are increasingly looking to be the “fix” to successfully consolidate all the components of MLOps from development to production. What is a machine learning platform? That’s where this guide comes in!