Decoding AI Vs Machine Learning Vs Deep Learning

Source: Deep Learning on Medium

Decoding AI Vs Machine Learning Vs Deep Learning

Artificial intelligence is infusing cognitive abilities into machines to analyse their environment in a human-like manner. Machine learning development services are an integral part of the dynamic artificial intelligence technologies. Machine learning is used in various AI solutions such as the development of image classification models and chatbot development services. Machine Learning focuses on the identification of a pattern in a set of data. It either classifies the data or organizes it. To do this, machine learning has several classification and regression algorithms.

Different kind of learning in Machine Learning:-

  1. Supervised
  2. Unsupervised
  3. Semi-Supervised
  4. Reinforcement

Before diving into types of machine learning, here are some important keywords:-

  • Feature — A single detectable and measurable property that can be used to distinguish data.
  • Over fitting model — A machine learning model that is trained too well with data and hence is only useful to make predictions for that data set.
  • Under fitting model — A machine learning model that is unable to learn from it’s training set.

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