Tag: machine learning

A Human Journey

The true inspiration of AI ( Artificial Intelligence ) is the never ending quest to discover human himself, and the process of discovery can be to make something, which can enact with Human Intelligence. For examples lets recollect our journey as a kid, and how excited we were when we saw the wild animals. Filled…
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Deep is a way for Machines to learn to provide AI capabilities

Artificial Intelligence was a term coined in the last century to describe human like capabilities to be acquired by human creations. As researchers tried to provide bring these capabilities to fruition, they realized one of the ways human acquire the skills is through learning. Hence, Machine Learning as a discipline came into being. Now, as…
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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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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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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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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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Difference between Machine Learning and Deep Learning

Machine Learning (ML) is a subset of Artificial Intelligence. It is a method of training an algorithm with data (input) in order to get the desired output without explicitly programming it to do so. ML is simply a technique for realizing AI. Deep Learning (DL) is considered a subset of Machine Learning. This has to…
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ML vs DL

Machine Learning modifies an algorithm without any human intervention by using structured data. Deep Learning, on the other hand, tries to imitate the human brain by using artificial neurons that form different interpretations of the same data. Based on these interpretations the best possible answer is arrived at. In simple words, if a Machine learning…
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20 Data Trends for 2020

Though we cannot tell what the future holds for us, we can make predictions based on trends. Read about the key data trends from twenty thought-leaders for 2020. JT Kostman Ph.D – A global cyber crime pandemic ($6T annually) and an ever-expanding alphabet soup of data privacy/protection legislation will increasingly require Data Scientists to accept…
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Machine Learning

Machine learning is allowing predictive models to generate predicted values for unknown outcomes, without machine learning people would have to have experience in a certain field to predict an outcome. A doctor would have to treat a lot of patients[data size] with one or more symptoms[variables] in order to accurately predict the patients outcome with…
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