Artificial Intelligence and Machine Learning

Human intelligence exhibited by machines. AI as a branch of computer science deals with human mind simulation for machines but interesting natural intelligence plays a key role for same. In today’s time, AI is increasingly used as a wide term. It describes machines that can mimic human functions such as learning and problem-solving. In earlier times it was believed that human intelligence can be precisely described, and machines can simulate it with AI. Before the machine starts attempting simulation, it needs to do learning with lots of data..

Artificial Intelligence (AI) and Machine Learning (ML)

Artificial Intelligence (AI) and Machine Learning (ML) are new trendy in IT right now, and often seem to be used interchangeably.

Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider as “smart”.
Machine Learning is a application of AI based around the idea that we should really just be able to give machines access to data and let Machine learn for themselves..

Simply an approach to achieve artificial intelligence. It was carrying neural networks as an important ingredient for some time. Only recently it has become the focus of AI and deep learning.

Machine learning is one of the most active areas and a way to achieve AI. Why ML is so good today; for this, there are a couple of reasons like below but not limited to though.
  • The explosion of big data
  • Hunger for new business and revenue streams in this business shrinking times
  • Advancements in machine learning algorithms
  • Development of extremely powerful machine with high capacity & faster computing ability
  • Storage capacity

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