How Long to Read Practical Linear Algebra for Data Science

How Long Does it Take to Read Practical Linear Algebra for Data Science?

It takes the average reader 5 hours and 40 minutes to read Practical Linear Algebra for Data Science by Mike X Cohen

Assuming a reading speed of 250 words per minute. Learn more

Description

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis

How long is Practical Linear Algebra for Data Science?

Practical Linear Algebra for Data Science by Mike X Cohen is 329 pages long, and a total of 85,211 words.

This makes it 111% the length of the average book. It also has 104% more words than the average book.

How Long Does it Take to Read Practical Linear Algebra for Data Science Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 45 minutes to read Practical Linear Algebra for Data Science aloud.

What Reading Level is Practical Linear Algebra for Data Science?

Practical Linear Algebra for Data Science 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.

Where Can I Buy Practical Linear Algebra for Data Science?

Practical Linear Algebra for Data Science by Mike X Cohen is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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