Machine learning is a subset of artificial intelligence, is a science of getting computers to act without being explicitly programmed. The global machine learning market is expected to grow from $7.3 billion in 2020 to $30.68 billion in 2024, which is CAGR of 43%.

It is based on the idea that machines can learn from the past information, identify patterns and make decisions using algorithms. There are three types of machine learning algorithms that are supervised learning, un-supervised learning and reinforcement learning.

We at smartData have professionals equipped with supervised learning capabilities to work with classification and regression problems. This includes speech recognition, drugs classification, biometric identification, image classification, face detection, sentiment analysis, classifying articles, medical data classifications, real-time predictions, etc. We are proficient in tools and libraries like TensorFlow, PyTorch, scikit-learn, regression models, classifier models, SVC, SVM, YOLO, Keras, etc.

Connect with us to know more about how we can transform your business through machine learning!

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Application of Federated learning and Edge in Healthcare

Federated learning is a machine learning technique that involves training an algorithm using numerous decentralized edge devices or servers that contain local data samples but do not share them. This strategy contrasts with traditional centralized machine learning methods, which necessitate the transfer of all local datasets to a single server. It can be employed in a variety of industries, including...

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