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Ai/ML Development
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Machine Learning is one of the most popular subfields of Artificial Intelligence that focuses on the development of algorithms and statistical models that allow computers to learn from data and make predictions or decisions without being explicitly programmed to do so. This technology has already revolutionized industries and solved complex problems in ways that were previously not possible. It has opened a new gate for businesses and start-ups and they are leveraging it and gaining growth which companies aspire for.

Data Collection

We will help businesses collect and prepare data for machine learning models. This process involves collecting, cleaning, and refining data, finding out missing values and making it more comprehensible for business-related decisions.

Model Selection

At MEEFIC we will help businesses select the appropriate machine learning model for their problem. This may involve choosing between supervised and unsupervised learning, deciding on the appropriate algorithm, and tuning hyper parameters.

Training, Testing, and Validating the Model

Here At MEEFIC, we provide the model with a set of data that in the training phase allows them to see and learn and get accustomed to it. After that, the sample of data is used to provide an unbiased evaluation of a model fit on the training dataset while tuning model hyperparameters.

Deployment

We will deploy the machine learning model into production and along with that we will integrate it with existing systems so that it can predict and automate the processes. Performance monitoring, optimization, and system upgradation will also be done with newly available data.