Deep learning and Machine Learning can be confused, but there is a difference. Do you know it? Keep reading to get the answer!

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless ca...

Artificial neural networks (ANNs) are the cornerstone of Deep Learning algorithms. The name and the architecture are adopted from the human brain's neural network. ANNs are designed to simulate human reasoning based on how neurons communicate. ANNs contain a set of artificial neurons connected.

With the acquisition of DeepMind, Google will acquire a whole new set of technologies related to artificial intelligence. But what will it use them for, and should we be concerned?

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Despite successful research and developments in lab settings, deep learning has yet to reach its potential in real-world deployments.

Today, we will have a detailed Introduction to Deep Learning, where we will study basic concepts i.e. working with deep learning using neural networks etc.

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Data science organizations face three common challenges as they operationalize and scale their machine learning models.

In the light of India facing double whammy of communicable and non-communicable diseases, Artificial Intelligence (AI), an emerging technology, is being hailed for its immense transformational possibilities in providing an enriched healthcare experience to people at large.