Before Machine Learning Volume 1 – Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Inteligence.

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Subject
Linear Algebra
Calculus
Probability and Statistics

ASIN ‏ : ‎ B0BZWN26WJ
Publication date ‏ : ‎ March 28, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 4892 KB
Text-to-Speech ‏ : ‎ Not enabled
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 161 pages
Format ‏ : ‎ Print Replica

Are you interested in diving into the world of machine learning but find yourself lost in the sea of complex mathematical concepts? Look no further than our new series, “Before Machine Learning Volume 1 – Linear Algebra for A.I.” In this book, we break down the fundamental mathematics that serve as the building blocks for data science and artificial intelligence.

Linear algebra is the backbone of machine learning algorithms, providing the tools necessary to understand and manipulate data in a way that allows machines to learn and make predictions. From vectors and matrices to eigenvalues and eigenvectors, this book covers it all in a clear and concise manner that is accessible to readers of all levels of mathematical background.

Whether you are a beginner looking to get started in the field of data science or an experienced practitioner looking to brush up on your mathematical skills, “Before Machine Learning Volume 1 – Linear Algebra for A.I.” is the perfect resource for anyone looking to understand the essential mathematics behind machine learning. Stay tuned for more volumes in this series as we continue to explore the mathematical foundations of artificial intelligence.
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