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Types of Machine Learning

In the previous post, we looked at what is meant by Machine Learning and now we will take a look at the types of Machine Learning. Machine Learning is basically of 3 types : Supervised Machine Learning Unsupervised Machine Learning Reinforcement Machine Learning Supervised Machine Learning: The meaning of the word Supervised is any task or activity which is done under the observation of someone.  In Supervised machine learning the same thing happens, we provide the machine learning model with some example data and train the model based on these examples.  When training is completed, our model can easily predict the new data which is never seen by the model. For example: When detecting whether an email is spam or not, we can provide the model sample data which tells the model the type of emails and whether they are spam or not. So when a new email is introduced to the model for classification, it looks at the previous learned examples and mark the email as spam or not. The most...
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Introduction to Machine Learning

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  Definition Machine Learning is a process by which Machines (or generally Computers) learn and improve from previous outputs and adjust themselves to be better at doing a task. In simple words, when a machine learns by itself is called Machine Learning. Relation with A.I, Deep Learning, and Data Science Artificial intelligence means programming machines to be as intelligent as Humans that's why the name Artificial Intelligence ( intelligence which is not real).   Machine Learning, Data Science, and Deep learning all are the branches of A.I.  Machine learning deals with the learning of the machine through previous outputs and adjusts the performance to perform that task efficiently.  Data Science deals with the manipulation of data and performing operations on data to get some insights.  Deep learning is solving a problem with help of Artificial Neural Networks and the problems where data is huge and Machine Learning algo cannot perform better Deep Learning...
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