Machine Learning is an application of artificial intelligence providing systems the ability to automatically learn and improve from experience without being explicitly programmed. It mainly focuses on the development of computer programs that can access data and use it learn for themselves.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. Its aim is to allow the machines(computers) learn automatically without human intervention or assistance and adjust actions accordingly. If you are interested in learning machine learning then you can consider this course(View).

You will learn following topics from this course:-

Introduction Linear Regression with One Variable Linear Algebra Review Linear Regression with Multiple Variables Octave/Matlab Tutorial Logistic Regression Regularization Neural Networks: Representation Advice for Applying Machine Learning Machine Learning System Design Support Vector Machines Unsupervised Learning Dimensionality Reduction Anomaly Detection Recommender Systems Large Scale Machine Learning Application Example: Photo OCR

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