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Essential Math for AI Next: Next-Level Mathematics for Efficient and Successful AI Systems

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Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.

Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.31 NEL e

Penerbit

usa : OReilly Media., 2023

Deskripsi Fisik

568 hal; ilus; 25 cm

Bahasa

English

ISBN/ISSN

978-1-098-10763-5

Klasifikasi

006.31

Tipe Isi

text

Tipe Media

unspecified

Tipe Pembawa

volume

Edisi

Second Release, February 2023

Subjek

Artificial Intelligence
Math
Mathematics for Artificial Intelligence
Applied Mathematics in Computing
Algorithmic Optimization

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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