


Mathematics for Machine Learning
Marsoni
M251S
Get it in 3 business days with 1 day shipping.
Friday, May 29
Mathematics for Machine LearningThe 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
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4.4 ★★★★★
Based on 1030 reviews
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Product Reviews
★★★★★ 5
Really helpful
Format: Paperback
I work in a minute clinic and derm is not my strong suit. This is a great reference with pictures to help when I'm a little unsure!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 16, 2024
★★★★★ 5
Excelente
Format: Paperback
Compacto y completo
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 17, 2025
★★★★★ 5
Yes, you need these.
Format: Paperback
This are exactly what you’d expect, except cheaper than those review courses trying to sell them to you. Great pictures- great info on the back of each card regarding pathophysiology, diagnosis and treatment.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 13, 2023
★★★★★ 5
Incredible reference tool
Format: Paperback
I love it & my preceptor thinks it’s amazing too! However, she did bring to my attention the poor representation of African Americans & how they’re under represented in derm as a whole !!! Maybe the updated versions will be more inclusive !!!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 13, 2024
★★★★★ 5
Easy to use, great pics
Format: Paperback
I like this and it's good about showing problems in skin of color. It's not quite as durable as I would like.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 4, 2023
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