Machine learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective.

Machine learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

Machine Learning is an application of Artificial Intelligence and is revolutionizing the way companies do business. At it’s core, it’s an algorithm or model that learns patterns in big data and then predicts similar patterns in new data.

Machine learning provide

  • Self-Driving Cars
  • Spam Filter in your Gmail using ML
  • Facebook news feed ranking
  • Facebook suggestions
  • Quora digest
  • Recommendations about products from Amazon, movies from Netflix, courses from Coursera
  • Space applications
  • Astronomical Data Analysis
  • Market Segmentation
  • DNA grouping
  • Genome Grouping
  • Google News
  • Text and Speech recognition
  • Fraud Detection

Machine Learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt, learn from previous computations to produce reliable, repeatable decisions and results.

Machine Learning allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable range.