Hire Machine Learning Engineer and Data Scientist for AI Models Development

To develop the AI models machine learning engineers required with lots of training data sets. And to analyze the data for machine learning and AI, data scientists are required. Hiring the right data scientist and machine learning engineers are difficult for the AI companies. And if the project is on temporary or contract basis a suitable machine learning engineer is required for AI developments.

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Why Machine Learning Model Validation in Important for AI Models?

Validating the machine learning model outputs are important to ensure its accuracy. Basically, when machine learning model is trained, (visual perception model), there are huge amount of training data sets are used and the main motive of checking and validating the model validation provides an opportunity to machine learning engineers to improve the data quality and quantity. 

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Training Data for AI and Machine Learning in Insurance Claim

AI in insurance helping to detect the type and level of damage to vehicles. Actually, the AI-based computer vision technology is used to detect the area of damage and calculate the intensity providing an automatic detail for insurance claim processing. Cogito provides, training data for AI and machine learning in insurance with best level of accuracy for right predictions.

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What are the Features of AI Security Camera and How it Works?

AI-enabled cameras nowadays are highly in demand due to advance monitoring system. Compare to old-age security cameras, now thanks to AI technology, cameras are now equipped with more advanced features to provide the more comprehensive detail of surroundings with more clear scenarios.

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Search Relevance Service for Machine Learning Algorithms

Search relevance services to make the online searching more relevant and result-oriented. Making the each search results relevant with the algorithm that can find out the documents, files, images and other contents get listed on the top pages of search engines. Cogito is providing the search relevance services to determine how to show the results with best level of accuracy to ensure the maximum relevancy.

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What Does A Machine Learning Engineer Do: Role & Duties

Machine learning engineer do one of the toughest job to create a ML or AI-based model that can work properly with best performance. Practically a machine learning engineer’s job is close to data scientist, as both need huge amount of data and skills to interpret and analyze the data sets for model development.

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What is The Difference Between Data Scientist and ML Engineer?

Data scientists and machine learning engineers are two important professionals in AI filed who play a vital role in model development. And their role in AI development is not that much different but from technical skills perspective there is difference.

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ADAS Annotation and Data Labeling Services for Computer Vision

Cogito caters ADAS annotation and data labeling services to train the machines through computer vision. It is annotating the images for objects recognition of street and facial recognition of drivers by AI-enabled system to alert drivers for safe driving. Using the various types of image annotation technique to make the objects recognizable with best level of accuracy to take decision timely.

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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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