5 Tips for Mastering Data Preparation for Machine Learning

5 Tips for Mastering Data Preparation for Machine Learning

Data preparation is the most time-consuming part of machine learning. Here are a few tips for getting it right.

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AI in Agriculture: How Scaling Data Labeling Keeps Agronomists in the Field

AI in Agriculture: How Scaling Data Labeling Keeps Agronomists in the Field

Agriculture data is complex. Annotating agtech data often requires help from agronomists. We help Hummingbird Tech overcome that AI product development hurdle.

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6 Key Features of Data Annotation Tools [Infographic]

6 Key Features of Data Annotation Tools [Infographic]

Some data annotation tools won't be a good fit for your AI and machine learning project. Keep these six important features in mind as you evaluate tool providers.

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Top Benefits and Limitations of Auto Labeling

Top Benefits and Limitations of Auto Labeling

The data annotation. One emerging feature is automation, also known as pre-annotation or auto labeling. This article will focus on some of its benefits and drawbacks.

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5 Strategic Steps for Choosing Your Data Labeling Tool

5 Strategic Steps for Choosing Your Data Labeling Tool

Your choices about tooling and workforce will be important factors in your success as you design, test, validate, and deploy any ML model.

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Lessons Learned: 3 Essentials for Your NLP Data Workforce

Lessons Learned: 3 Essentials for Your NLP Data Workforce

Natural language processing (NLP) is among the fastest growing AI technologies and one of the most difficult to develop. In this article, we'll share lessons learned over 10 years ...

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How CloudFactory Workers Help Train NLP Models

How CloudFactory Workers Help Train NLP Models

Natural language processing (NLP) is among the fastest growing AI technologies today. It’s also one of the most difficult to develop. This is the first in a two-article series ...

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Solving the Dirty Data Problem: Clean-Data Practices for Tech Innovators [Ebook]

Solving the Dirty Data Problem: Clean-Data Practices for Tech Innovators [Ebook]

Data can be gold for businesses, but there’s a catch: it must be uncovered, clean, and structured. Our latest ebook explores common data-quality issues and clean-data practices ...

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How to Strategically Apply Humans in the Loop for AI

How to Strategically Apply Humans in the Loop for AI

In our new white paper, we explore AI trends, the importance of choosing the right tools, and how to strategically deploy people in your tech-and-human stack.

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French Presidential Campaign Rolls to Victory Using Geospatial AI

French Presidential Campaign Rolls to Victory Using Geospatial AI

In the French presidential election, Macron’s campaign had the foresight to see how combining data, analytics, and human intelligence could give him a competitive advantage.

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AI, Machine Learning and Data: What Businesses Need to Know

AI, Machine Learning and Data: What Businesses Need to Know

AI is building technology that behaves like a human, whereas Machine learning is a subset of artificial intelligence that uses algorithms to learn from data sets.

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