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Data Labelling

Towards Data Science

Advances in Financial Machine Learning by Marcos Prado. 7. Fractionally Differentiated Features is Chapter 5 about Fractionally Differentiated Features. 8. Data Labelling is Chapter 3 about The Triple...

📝 Guest post: Getting ML data labeling right*

TheSequence

What’s the best way to gather and label your data? There’s no trivial answer as every project is unique. But you can get some ideas from a similar case to yours. In this article, Toloka’s team shares ...

🏷 Data Labeling for ML

TheSequence

About 45% of the time in data science projects is consumed by processing and labeling data. It’s fair to say that data labeling is one of the most expensive tasks of any machine learning project. How ...

Introducing Label Studio, a swiss army knife of data labeling

Towards Data Science

I’ve experienced the lack of tools myself while working at one of the enterprises on a personal virtual assistant project, which was used by around 20 million people. Our team was continually looking…...

Top 5 Data Labeling Tools To Use In 2023

Towards Data Science

Speed up your data labeling and have better results with these tools. Continue reading on Towards Data Science

Decision Framework For Data Labeling Strategy

Towards Data Science

Last year, at the CVPR 2019, I had a brief encounter with Andrej Karpathy, the Senior Director of AI at Tesla. During our conversation I asked him a rather naïve question, “Andrej, how do you…

The Key to Creating a High-Quality Labeled Data Set

Towards Data Science

How to provide the best experience for the people annotating your data Continue reading on Towards Data Science

How To Set Up An ML Data Labeling System

Towards Data Science

Most production machine learning applications today are based on supervised learning. In this setup, a machine learning model trains on a set of labeled training data in order to learn how to do a…

Four Mistakes You Make When Labeling Data

Towards Data Science

Labeling Data for NLP, like flying a plane, is one something that looks easy at first glance but can go subtly wrong in strange and wonderful ways. Knowing what can go wrong and why are good first…

Data Annotation and Labeling

Analytics Vidhya

According to Appen, data annotation is the categorization and labeling of data for AI applications. This categorization and labeling is done to achieve a specific use case in relation to the business…...

🚀 The Emerging Market of Data Labeling

TheSequence

📝 Editorial Metadata management has historically been one of the most boring markets in enterprise software. And it really is, until machine learning comes along. Supervised learning models need labe...

Data Labeling Service: Automated Data Labeling VS Manual Data

Becoming Human: Artificial Intelligence Magazine

“The global data collection and labeling market size was valued at USD 1.0 billion in 2019 and is expected to witness a CAGR of 26.0% from 2020 to 2027,” quote from a market analysis report by grand…