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What is the Difference Between CNN and RNN?

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Computer Vision

What’s the difference between CNN and RNN?

Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.

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Data Collection

How much AI training data do you need?

It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.

A Beginner's Guide to Sentiment Analysis

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Linguistic Annotation

A beginner's guide to sentiment analysis

Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.

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Data Annotation Retail & Ecommerce

What is product categorization?

Learn about product categorization (also known as product classification) and how it’s crucial to the eCommerce industry.

Machine Learning in Medicine: Learning to Trust

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AI Use Cases Healthcare

Machine learning in medicine: Learning to trust

Trust is fundamental to any use of machine learning — healthcare is no exception. Read on as we look at trust and machine learning in medicine.

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AI Best Practices

How humans-in-the-loop improve map and navigation software

Discover three critical ways human-annotated data improves map and navigation software.

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Data Collection

The 50 best free datasets for machine learning

Are you looking for open datasets for machine learning? View our ultimate cheat sheet for high-quality datasets.

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Data Annotation

Understanding text analysis tools

Text analysis tools offer a multitude of benefits, but how do they work? We look at types of AI text analysis, their use cases and how to get started.

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Computer Vision

Computer Vision Annotation: Tools, Types, and Resources

Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.

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AI Use Cases Retail & Ecommerce

Five strategic uses for AI in ecommerce

Get an inside look at the most popular uses for AI in ecommerce: what it does, how it is used and practical first steps for your business.

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Data Annotation

How to get annotated data for machine learning

Capturing enough accurate, quality data at scale is a common challenge. Discover four ways to source raw data for machine learning, and how to go about annotation process.