Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike
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...
Practical Linear Algebra for Data Science - Mike X Cohen
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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...
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 its 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 theyre used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, youll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.
Ideal for practitioners and students using computer technology and
Chýba alebo je nepravdivý niektorý dôležitý parameter? Uvedené informácie sú len orientačné, pred nákupom vo vybranom obchode odporúčame overiť, že predávaný model má kľúčové vlastnosti podľa vašich požiadaviek. Aj keď sa snažíme o maximálnu presnosť informácií, bohužiaľ nemôžeme zaručiť 100% správnosť. Ceny produktov sú vrátane DPH.
