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SD item code:12693495
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Takuma Yoshida (Author)
Satoru Ohara (Author)
 Original text before translation
吉田 拓真 (著)
尾原 颯 (著)
(186420)
JAN:9784798186429
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(186420)
JAN:9784798186429
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:A5
Number of pages:528 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| Long-Awaited Second Edition Useful in the field of machine learning* data science Detailed explanations of fast data processing methods with Numpy [Overview of this book] Python's sophisticated and easy-to-use math*science libraries are used in the field of machine learning and data science. This book picks up NumPy, which is often used in machine learning and data science, and starts from the basics of Numpy, explaining practical and fast data processing methods that can be used in the field. Particular emphasis is placed on array processing. In the final chapter, practical data processing methods in machine learning are explained. [Changes in the Second Edition] *Compatible with Python 3.11 *NumPy 1.25 is now supported. *Updated libraries [What is NumPy? NumPy is a library of high-level mathematical functions for processing multidimensional arrays (matrices and vectors), which are often used in machine learning and data science. It is an indispensable library for data processing in machine learning* data science. [Target Audience] *Machine learning engineers *Data scientists [Table of Contents] Chapter1 NumPy Basics Chapter2 Knowing Functions to Manipulate NumPy Arrays Chapter3 Using NumPy Math Functions Chapter4 Implementing Machine Learning with NumPy [Author's Profile] Takuma Yoshida Takuma Yoshida is the president of Spot, Inc., a data science service provider, and the editor-in-chief of the web media [DeepAge]. Sous OHARA*So Sou Ohara belongs to the Department of Mechanical Engineering, Faculty of Engineering, The University of Tokyo. At university, he studied more hardware-oriented subjects. His hobbies are a cappella and tennis. Basically, he likes to exercise. Recently, he started running. |
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Other items from this category:
Useful in the field of machine learning* data science
Detailed explanations of fast data processing methods with Numpy
[Overview of this book]
Python's sophisticated and easy-to-use math*science libraries are used in the field of machine learning and data science. This book picks up NumPy, which is often used in machine learning and data science, and starts from the basics of Numpy, explaining practical and fast data processing methods that can be used in the field. Particular emphasis is placed on array processing. In the final chapter, practical data processing methods in machine learning are explained.
[Changes in the Second Edition]
*Compatible with Python 3.11
*NumPy 1.25 is now supported.
*Updated libraries
[What is NumPy?
NumPy is a library of high-level mathematical functions for processing multidimensional arrays (matrices and vectors), which are often used in machine learning and data science. It is an indispensable library for data processing in machine learning* data science.
[Target Audience]
*Machine learning engineers
*Data scientists
[Table of Contents]
Chapter1 NumPy Basics
Chapter2 Knowing Functions to Manipulate NumPy Arrays
Chapter3 Using NumPy Math Functions
Chapter4 Implementing Machine Learning with NumPy
[Author's Profile]
Takuma Yoshida
Takuma Yoshida is the president of Spot, Inc., a data science service provider, and the editor-in-chief of the web media [DeepAge].
Sous OHARA*So
Sou Ohara belongs to the Department of Mechanical Engineering, Faculty of Engineering, The University of Tokyo. At university, he studied more hardware-oriented subjects. His hobbies are a cappella and tennis. Basically, he likes to exercise. Recently, he started running.