In Quick Guide to Data Science: Linear Algebra Made Simple, you will learn, in a practical, clear, and accessible way, the mathematical foundations that underpin fields such as Data Science, Machine Learning, Deep Learning, Computer Vision, and Artificial Intelligence, understanding how vectors, matrices, the dot product, linear transformations, and linear systems help represent, organize, and transform data in the real world. Ideal for beginners, students, analysts, managers, professionals in career transition, and readers who want to understand the mathematics behind the models without excessive formalism, this book follows the 10 minutes a day philosophy to turn a topic often seen as difficult into an objective, instructive journey connected to practical applications in technology, business, and data analysis.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798195814069
Quantità: Più di 20 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9798195814069
Quantità: Più di 20 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. In Quick Guide to Data Science: Linear Algebra Made Simple, you will learn, in a practical, clear, and accessible way, the mathematical foundations that underpin fields such as Data Science, Machine Learning, Deep Learning, Computer Vision, and Artificial Intelligence, understanding how vectors, matrices, the dot product, linear transformations, and linear systems help represent, organize, and transform data in the real world. Ideal for beginners, students, analysts, managers, professionals in career transition, and readers who want to understand the mathematics behind the models without excessive formalism, this book follows the 10 minutes a day philosophy to turn a topic often seen as difficult into an objective, instructive journey connected to practical applications in technology, business, and data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798195814069
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - In Quick Guide to Data Science: Linear Algebra Made Simple, you will learn, in a practical, clear, and accessible way, the mathematical foundations that underpin fields such as Data Science, Machine Learning, Deep Learning, Computer Vision, and Artificial Intelligence, understanding how vectors, matrices, the dot product, linear transformations, and linear systems help represent, organize, and transform data in the real world. Ideal for beginners, students, analysts, managers, professionals in career transition, and readers who want to understand the mathematics behind the models without excessive formalism, this book follows the 10 minutes a day philosophy to turn a topic often seen as difficult into an objective, instructive journey connected to practical applications in technology, business, and data analysis. Codice articolo 9798195814069
Quantità: 2 disponibili