It takes the average reader 12 hours and 24 minutes to read Data Analysis, Machine Learning and Applications by Christine Preisach
Assuming a reading speed of 250 words per minute. Learn more
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Data Analysis, Machine Learning and Applications by Christine Preisach is 719 pages long, and a total of 186,221 words.
This makes it 243% the length of the average book. It also has 228% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 16 hours and 57 minutes to read Data Analysis, Machine Learning and Applications aloud.
Data Analysis, Machine Learning and Applications 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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