Machine learning mainly focuses on the improvement of computer programs that can access data and use it to learn for themselves. The objective of all the machine learning algorithms is to estimate a predictive model that best generalizes to a particular type of data. Therefore, for resolving a problem by machine learning, it is crucial to have a large number of examples that can be used by the learning algorithm to recognize the system’s behavior and similar kind of predictions can be generated by the system when the machine learning algorithm is displayed with new examples of data. Although the learning task is not easy, with better recognition of the different components of the machine learning and how they interact with each other, things will become more distinct. If you are a beginner and want to know more about Machine Learning, then check out this course by Intellipaat which will teach you ML from basics: Machine Learning Course
And if you are more into youtube tutorials then here is an awesome video tutorial by Intellipaat which will clear all your doubts regarding the same:
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