Machine Learning

The application of Artificial Intelligence (AI) that helps systems improving ability to learn and improve automatically without being explicitly programmed is called Machine Learning. It focuses on the development of computer programs which can access data and used to learn themselves. Machine learning is a subset of Artificial Intelligence and Deep Learning is Machine learning but applied to large data sets. Machine Learning (ML) is involved in most of the AI works because intelligent behavior needs considerable knowledge and ultimately learning is the easiest way to get the knowledge

There is a wide range of uses of Machine Learning, Few are listed below:

  • Can identify trends and patterns very easily
  • Human intervention is not required
  • Used in handling multi-dimensional data
  • And also many more wide applications like Medical diagnosis, Statistical Arbitrage, Learning, associations, Classification, Prediction, Extraction, and also for Image recognition and face recognition.

Machine Learning Conference is focused on spreading more knowledge to the new era of Intelligence

  • Neural Networks
  • Reinforcement Learning
  • Predictive Learning
  • Unsupervised Learning
  • Quantum Machine Learning
  • Adversarial Machine Learning
  • Computational Learning Theory
  • Convolutional neural network

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