How to Evaluate Machine Learning Model Performance Without Labeled Data?

Evaluating the machine learning model is very important to check the accuracy level and make sure this model will work well in real-life use. Evaluation means, checking the prediction of model after giving a raw data to recognize the data or object learn from previous machine learning training process.

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AI and Machine Learning in Healthcare

Healthcare training data for AI and ML development is available right here at Cogito with best level of accuracy to make sure the model is developed with right prediction. The healthcare training data for AI and ML available here in the form of annotated medical images like X-rays, MRI, CT Scan and Ultrasound to make the malady recognizable to machines through computer vision helping doctors for better treatment.

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Why ML Model Validation Service is Important?

Validating the AI or ML model is important to make it accurate for right prediction. Evaluating the output given by the running model compared with outputs, if not found satisfying, given with more improved training data. Cogito data annotation team check and evaluate the ML model outputs and validate if its is giving the acceptable results.

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Sentiment Analysis Services for Machine Learning API and Tools

Understanding the feeling and opinions of the people are important to serve them better. Sentiments analysis us the right way to find out what and how people are thinking about an action, social issues, news, events, new products or services launched by the companies and business organizations or its existing services etc. API and Tools developed on AI or Machine Learning principles can get datasets with best level of accuracy.

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Deepfake Detection Company and Services

What is Deepfake Technology?

AI powered Deepfake detection is possible with human eyes, and combination of such high-end technology, that is now offered by Cogito. All types of fake videos, images or manipulated audios all can ruin the personality of well-known individuals. Politicians, actors and popular celebrities are the prime victims of Deepfake technology, that allows to swap their faces and voice on other erotic individuals to gain a popularity in the market place.

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What is Classification in Machine Learning; Types and Objectives of Classification in ML

Classification is a kind of technique to categorize any data into a desired and distinct number of classes where we can assign label to each class.

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What is Cross Validation in Machine Learning and its Techniques?

Machine Learning (ML) model development is not complete until the model is validated to give an accurate prediction. The stability of the model is important, and it is important to rely on its decisions to be correct and unbiased, allowing trust in the model.

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Improve the Search Relevance Metrics with Cogito

Improve the search relevance metrics with Cogito for best results on your search query box. It is providing the right solution for online search engines and website search engine to integrate the searching for getting the more precise results while checking the certain queries. Cogito is actually involved in providing the training datasets for developing the search relevance system that can give users a best result for various queries.

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What is The Future of Machine Learning in Healthcare?

Machine Learning (ML) is already helping healthcare industry to diagnosis the various types of crucial disease with accuracy and provide the timely treatment to patients at affordable cost. Further with the more research and development into this technology, the future of ML seems very bright in various fields including healthcare.

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Virtual Contact Center Service for Seamless Customer Experience

Virtual Contact Center Service is offered here by Cogito for inbound and outbound calling with voice and text based chat customer support service for all types of companies operating into different fields. It is is also providing the back-office facility to all such companies to make their customer support service fully interactive and supportive.

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