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A Tale of Two Feature Engineers: Machine Learning vs Deep Learning

Both Machine Learning and Deep Learning summarize a methodology for the automatic detection of patterns in data and their use to predict certain aspects of novel data. They are concerned with the approximate mapping between inputs and outputs since there are no formulas (at least until today) that dictate the reality of the countless problems…
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January 26, 2020 0

Machine Learning vs Deep Learning

Machine learning is a subset of artificial intelligence. It helps you use historical data to make better business decisions. Machine learning is also a process where machines take data, analyze it to generate predictions,  and use those predictions to make decisions. Those predictions generate results, and those results are used to improve future predictions. Machine learning can make predictions from huge datasets.…
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January 26, 2020 0

Learning: Machine vs Deep

Machine Learning Machine Learning is a subfield of Artificial Intelligence where we try to make ‘accurate’ predictions based on the training data presented to a model or classifier to solve a problem statement. We try to fit the training data using various algorithms preceded by feature extraction to formulate a model which generalises well on…
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January 23, 2020 0

ML vs DL

A machine is basically a set of hardware and software (e.g. a PC). A machine learns how to solve a task by experience (data) through machine learning algorithms. If those algorithms are artificial neural networks with several hidden layers, then the machine learning algorithm is a.k.a. deep learning, with “deep” meaning that information is distilled…
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January 22, 2020 0

The sense behind the data

In the world of data we are surfing, one of the most relevant things is to have a clear overview about what you are looking for to do the right questions. Having a huge amount of data could be nothing without sense, so giving sense to the data is more important than having data. The…
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January 13, 2020 0