Advanced analysis of outliers in R and Matlab

Partner: Udemy
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Description: Robust data analysis and outlier detection are crucial in Statistics, Data Analysis, Data Mining, Machine Learning, Artificial Intelligence, Pattern Recognition, Classification, Principal Components, Regression, Big Data, and any field related to the data.With the course you will obtain the FREE BOOK ABOUT OUTLIERS with specific tips and tricks, and the summary of all the robust methods to detect them that will help you obtain accurate results and awsome data analysis.Researchers, students, data analysts, and mostly anyone dealing with real data, should be aware of the problem with outliers (and outliers) and should know how to deal with this problem and what robust methods should be used. . The vast majority of Machine Learning algorithms are capable of detecting characteristics common to the majority of data, but many times they are confused or even ignore those atypical data, which should not be ignored in conditions where the security of people, such as the analysis of medical data, the world of the Internet of Things IoT, or risks and security in companies.What would happen if a virus spread throughout the world because we ignored anomalous data? We would have a pandemic, like that of COVID19, which if the outlier signals detected by neural networks had not been ignored, we could have acted upon beforehand.What would happen if we ignored any signal from a Smart City system? We could miss a gas leak.What would happen if by ignoring an alarm, we miss a meteorite coming towards the earth? We would have to call Bruce Willis, to save us from Armageddon.With this course you will be an expert in robust data analysis, in the detection and treatment of atypical data, bo
Category: Teaching & Academics > Math > Data Analysis
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Price: 199.99
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Source: Impact
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