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AI & Machine Learning

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AI & Machine Learning
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AI & Machine Learning

A machine learning solution goes beyond the model when it comes to building a solution involving machine learning. It involves data structures, model training, model integration, and architecture.

Bringing product features to life with machine learning is our end-to-end service. There are many NLP APIs and services available today.APIs and services related to natural language processing are available today.

On generic data extraction tasks, some of these services could achieve 80% accuracy. It is necessary to use machine learning techniques along with traditional NLP algorithms to solve really hard problems in natural language understanding, especially with proprietary or small data sets.

Optimization of Algorithms
Computer vision and image processing solutions have benefited from deep learning techniques. It is difficult, however, to train models for proprietary and domain-specific data sets. In order to deliver practical solutions, we convert the domain-specific part of a problem into a generic computational problem.
Optimization algorithms are the foundation of modern-day machine learning. Algorithms for optimizing machine learning are the basis of the process. The history of the company dates back many decades, however. In addition to solving problems involving allocation, balancing, and routing, we strive to use these fundamental algorithms.