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Importance_of_Data_Labeling_Services_&_its_role_in_Machine_Learning-02

Importance of Data Labeling Services & Its Role in Machine Learning

  • April 26, 2022
DATA LABELING SERVICES Basically, Data labeling is the process of detecting and tagging unstructured data to structured datasets for Machine Learning algorithms. So, Data labeling services are used when constructing Machine learning algorithms for major industries like autonomous vehicles, healthcare, finance, entertainment, e-commerce space, cybersecurity, agriculture etc.  Data labeling...
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IMPORTANCE OF MACHINE LEARNING?

  • February 5, 2022
What is MACHINE LEARNING? Machine learning is basically about the science of giving computers the ability to learn & understand. AI & ML algorithms are being used daily in our lives through various significant applications such as self-driving cars, speech recognition, searches, and recommendations. And, also Machine learning is...
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data_labeling

Data Labeling & Its Role in Machine Learning

  • July 1, 2021
DATA LABELING  Data labeling helps machines to gain an accurate understanding of real-world conditions and opens up many opportunities for a wide variety of businesses and industries. Data labeling is also used when constructing Machine learning algorithms for major industries like autonomous vehicles, healthcare, e-commerce, cybersecurity, entertainment, real estate, and...
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Data Annotation

Important facts about Data Annotation and Machine Learning

  • June 17, 2021
DATA ANNOTATION  Under Machine Learning and Artificial Intelligence Data Annotation is one of the most important tasks if you have accurately annotated data, which means your data is properly structured or labeled, to teach your machine learning model to learn, predict, understand, and make decisions according to situations.  Meaning: Basically,...
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Data Labeling

Human-in-the-Loop for Machine Learning

  • July 24, 2020
Human-in-the-loop or HITL is defined as a model that requires human interaction. Basically, Human-in-the-loop is the branch of artificial intelligence that combines both human and machine intelligence to create machine learning models. The HITL approach combines the best of human intelligence with the best of machine intelligence. Machines can...
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