It takes the average reader 8 hours to read Statistical Machine Learning with Applications by Gordon Ritter
Assuming a reading speed of 250 words per minute. Learn more
This unique compendium develops a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. It introduces the key elements of a parametric statistical model: likelihood, prior, and posterior, and show how to use them to make predictions.The book covers classical techniques such as multiple regression and the Kalman filter in a clear, accessible style that has been popular with students, but also includes detailed treatments of state-of-the-art models, highlighting tree-based methods, support vector machines and kernel methods, deep learning, and reinforcement learning. Theories are supplemented by real-world examples.This reference text is useful for undergraduate, graduate and even PhD students in quantitative finance, and also to practitioners who are facing the reality that data science and machine learning are disrupting the industry.
Statistical Machine Learning with Applications by Gordon Ritter is 480 pages long, and a total of 120,000 words.
This makes it 162% the length of the average book. It also has 147% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 55 minutes to read Statistical Machine Learning with Applications aloud.
Statistical Machine Learning with 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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