Deep Learning, Machine Learning and Artificial Intelligence
Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. AI is the focal point in the “Industry 4.0” era for manufacturing. AI is currently used in manufacturing plants all over the world to reduce critical errors, drastically improve production times and boost safety measures.
Machine learning is a subset of artificial intelligence that uses techniques that enable machines to use experience to improve at tasks. The learning process includes imputing data into an algorithm, use the data to train the model, test and deploy a model and consume the deployed model to do an automated predictive task.
Deep learning is a subset of machine learning that’s based on artificial neural networks. The learning process is considered deep because the structure of artificial neural networks consists of multiple input, output, and hidden layers. Each layer contains units that transform the input data into information that the next layer can use for a certain predictive task. A machine can learn through its own data processing due to this structure.
Machine learning is a way to achieve artificial intelligence. Machine learning and deep learning techniques allow you to build computer systems and applications that do tasks associated with human intelligence such as image recognition, speech recognition, and language translation.
Microsoft Azure is one of the world’s largest cloud infrastructure platform and artificial intelligence is a huge part of its success. To accomplish the most with Azure Cloud, you must understand AI, machine learning and deep learning and how they work together 2W Tech is a Microsoft Gold Partner and has been working with the Azure platform since its induction. Give us a call today to get started with Microsoft Azure and AI.
Read More:
Manufacturer’s Need Big Data on Their Side