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In Practical Linear Algebra for Data Science, Mike X Cohen delves into the essential mathematical concepts that underpin data science, making them accessible and applicable for practitioners. This book serves as a bridge between theoretical linear algebra and its practical applications within the realm of machine learning.
Cohen's exploration begins with foundational concepts, gently guiding readers through the intricacies of vectors, matrices, and transformations. Each chapter builds upon the last, culminating in powerful techniques used in data analysis and machine learning algorithms. With a focus on real-world examples, the text illustrates how linear algebra is used to make sense of complex datasets, enabling readers to develop a robust understanding of data manipulation and interpretation.
This book is ideal for anyone looking to deepen their understanding of linear algebra in the context of data science, including:
"Cohen’s work is an invaluable resource for those navigating the dynamic world of data science." - A Reader
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Free 30-day returns on UK orders. If a book arrives damaged, faulty or not as described, we'll refund or replace it free of charge — you usually won't need to send it back. Changed your mind? Contact us within 30 days of delivery. International orders also have 30 days: damaged or faulty books are refunded or replaced free; if you change your mind, the return postage is yours. Read our refund policy.
In-stock orders are dispatched within 1 working day (Monday–Friday), and UK delivery usually takes 2–4 working days after dispatch. For Express International delivery to 21 more countries, see our Shipping Policy.
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Standard UK delivery is £2.99, and free on orders over £35. We also offer Express International delivery to 21 more countries — see our Shipping Policy for rates.
Yes — all of our books are brand new, sourced direct from UK publishers and distributors. By buying in bulk direct from publishers and distributors, we secure lower trade costs and pass those savings on to you.