It takes the average reader 6 hours and 50 minutes to read Mathematics for Machine Learning by Marc Peter Deisenroth
Assuming a reading speed of 250 words per minute. Learn more
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine...
Mathematics for Machine Learning by Marc Peter Deisenroth is 398 pages long, and a total of 102,684 words.
This makes it 134% the length of the average book. It also has 125% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 9 hours and 21 minutes to read Mathematics for Machine Learning aloud.
Mathematics for Machine Learning 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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