Machine Learning and Artificial Intelligence

In today’s era, people want all the things to be done with some innovative ideas. The upcoming requirement of the people is that they want everything on their hand gesture, so the technology like Artificial Intelligence and Machine Learning will be a much more important part of human life. Most of us get confused between machine learning and artificial intelligence, but actually, machine learning is an application of artificial intelligence that provides system ability to learn automatically and improve with respect to previous output without being programmed.

Machine Learning algorithms are categorized as Supervised, Unsupervised, Semi-supervised and Reinforcement. Let’s understand each one in detail:

  • Supervised Learning: In this, the algorithm applies the analysis of known training dataset, the learning algorithm compares its output with current output and find errors in order to modify the model.
  • Unsupervised Learning: In this, the algorithm explores the pattern and draw conclusions from datasets to describe hidden structure from unlabeled data.
  • Semi-supervised Learning: In this, the algorithm uses both labeled and unlabeled for training. It is used when the system wants labeled data that requires skilled and relevant resources.
  • Reinforcement Learning: This algorithm allows machine and software to automatically determine the behavior with specific order using try and error, simple feedback is required to learn which action is best.

Artificial Intelligence work in two ways which helps to train the machine. One way is symbolic and second is the database. Using database lots of data feed to the machine and identify the pattern. Machine learning gives off massive quantities of data. The machine learning process looks like understand the domain, prior knowledge, data integration, selection and interpreting results. Machine learning focuses on the development of a computer program which accesses the data and with the help of that learn it themselves. Artificial Intelligence is a broad branch of computer science where humans can speak through speech processing. A human can see with eyes this is computer vision. Humans can understand the environment this is the field of robotics, so if we replicate the human brain that is called deep learning. Machine learning will be an integral part of part of artificial intelligence. Machine learning will help machine to identify better sense of context and meaning of data. Applications of machine learning are web search, ranking the pages, information extraction, and social networks.

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