It takes the average reader 6 hours and 30 minutes to read Machine Learning for Spatial Environmental Data by Mikhail Kanevski
Assuming a reading speed of 250 words per minute. Learn more
This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice.
Machine Learning for Spatial Environmental Data by Mikhail Kanevski is 384 pages long, and a total of 97,536 words.
This makes it 130% the length of the average book. It also has 119% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 52 minutes to read Machine Learning for Spatial Environmental Data aloud.
Machine Learning for Spatial Environmental Data 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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