Everything you should know about Artificial Neural Network & Deep Learni

Concepts of Artificial Intelligence, Deep Learning and Artificial Neural Networks form the basis of many Machine Learning algorithms which can be used to simplify many real-world problems. Machine Learning aims at breaking the necessity to formulate long and complex programs and focuses on training the machine to learn from the training data sets. Though human-alike thinking and decision making is still very far, ML algorithms can be used in various scenarios to predict human behaviour which would otherwise had been impossible. Typical examples of the use of ML algorithms are, shopping recommendation in Amazon or Flipkart based on your previous buying decisions, suggestions from Netflix or Amazon prime depending on the genres of movies you have watched earlier, etc. New fields such as Predictive Analytics, Data Science etc are emerging from the transition to machine-based thinking and learning instead of human intervention. Of course, there are various algorithms to learn and measure and various ways to optimise them, but they come later.