How is machine learning different from deep learning?

In machine learning, if a machine learning algorithm comes up with an inaccurate prediction, then there is a need for the engineer to step in and make the adjustments.In the case of deep learning, the algorithms can self-determine whether the prediction done is accurate or not.  

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What are the different types of machine learning?

The machine learning algorithms are usually classified as either- supervised or unsupervised. Supervised Machine Learning Algorithms: These can be applied to the learning carried out in the past to new data by the use of labelled examples for predicting the events in the future. It starts from an analysis of a known training dataset, and […]

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What is the objective of machine learning?

The primary purpose of machine learning is to discover patterns in the user data and then make predictions based on these and intricate patterns for answering business questions and solving business problems. Machine learning helps in analysing the data as well as identifying trends.

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Why is there a need for machine learning?

Machine learning is needed for carrying out tasks that prove to be too complicated for humans to code directly. In such a case, a large amount of data is provided to the machine algorithm, and this algorithm works it out by exploring the data provided searching for a model that can achieve what the programmer […]

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