It takes the average reader 6 hours and 19 minutes to read Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods by Chris Aldrich
Assuming a reading speed of 250 words per minute. Learn more
This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep architectures for enhanced data...
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods by Chris Aldrich is 374 pages long, and a total of 94,996 words.
This makes it 126% the length of the average book. It also has 116% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 39 minutes to read Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods aloud.
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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