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Machine Learning and Deep Learning - Know the Difference

Machine learning is a subset of AI that focuses on the design of a system. It can learn and make decisions or predictions based on the experience which is data in case of machines. It enables a computer to act and make data-driven decisions rather than being explicitly programmed to carry out a specific task. These programs are designed to learn and improve over time when exposed to new data.
For example, while shopping online and checking for a product, you must have come across or would have noticed a line saying “the people who bought this, also bought…” giving you recommendations. Moreover, have you ever noticed that it also suggests for a product similar to what you’re looking for? How are they able to do this? The answer is Machine Learning.

Deep learning is a subset or an exciting branch of machine learning (ML) which uses similar ML algorithms and uses lots of data to educate deep neural networks so, as to attain better accuracy. Deep learning, with Artificial Intelligence, is uncovering hidden techniques and opportunities in the field of healthcare, helps doctors in surgical complications, drug development, patients and record mining. It furthermore gives better assistance in voice search and image recognition.
Nowadays, Voice search tool is in nearly every smartphone. Google Now, Apple’s Siri, Microsoft Cortana are some applications of voice-activated assistance which runs on deep learning.
Let’s review the differences between the two:
Machine learning uses algorithms to analyse data, then they learn from that data and make informed decisions on the basis of what it has learned.
Whereas, deep learning learns through an artificial neural network which is why it is considered as more human-like. It doesn’t require a human programmer to tell them what to do, they learn and make confident decisions on its own.
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