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Machine Learning


Machine learning is the methodical study of algorithms and numerical models that computer systems use to effectively perform a specific task without being explicitly programmed, relying on patterns and implication instead. It is an application or viewed as a subset of artificial intelligencethat provides systems the ability to automatically learn and improve from experience. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Top 5 best Programming Languages for Artificial Intelligence and ML...:    
->    Python. Python is considered to be in the first place in the list of all AI development languages due to the simplicity.

->    R. R is one of the most effective language and environment for analyzing and manipulating the data for statistical purposes.

->    Lisp.

->    Prolog.

->    Java.

  Basics for machine learning: Classifications such as Supervised Algorithms – Linear Regression, Logistic Regression, Support Vector Machine (SVM), Decision Trees, Random Forest. Unsupervised Algorithms – K Means Clustering, Reinforcement Algorithm