It takes the average reader 7 hours and 20 minutes to read Machine Learning for Subsurface Characterization by Siddharth Misra
Assuming a reading speed of 250 words per minute. Learn more
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods...
Machine Learning for Subsurface Characterization by Siddharth Misra is 440 pages long, and a total of 110,000 words.
This makes it 148% the length of the average book. It also has 134% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 1 minute to read Machine Learning for Subsurface Characterization aloud.
Machine Learning for Subsurface Characterization 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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