Information science Practical Introduction to Python-based machine learning Fundamentals of data analysis for problem solving / Yūtarō Ikeda / Yūdai Shinbo

※Please note that product information is not in full comprehensive meaning because of the machine translation.
Japanese title: 単行本(実用) 情報科学 実務で役立つPython機械学習入門 課題解決のためのデータ分析の基礎 / 池田雄太郎 / 新保雄大
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Item number: BO4006613
Released date: 16 Nov 2023
Maker: Shoeisha Co.

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science
Understand machine learning from the basics while solving familiar problems! ■ Product introduction This book is a book that explains how to solve real problems using machine learning using Python. You can learn about data analysis and algorithms while moving your hands. In this book, you can solve problems in three steps : "1 Problem Analysis," "2 Data Analysis," and "3 Prediction." ■ Features of this book 1 Explanation assuming realistic situations This book explains how to solve problems using machine learning. You can select algorithms from problems and learn how to run projects. 2 Learn the best algorithm for machine learning This book is for people who have finished learning Python to a certain extent and want to learn about machine learning and how to solve them using machine learning. You can learn the algorithms used for machine learning through actual examples. You can learn what algorithms should be used to solve familiar business problems. ■ Contents of Chapter1 Introduction Chapter2 First Basic 2-1 Overview 2-2 Regression Algorithms Forecast Real Estate Prices 2-3 Classification Algorithms Forecast Employee Retirement 3-1 Overview 3-2 Time Series Prediction Algorithms Forecast Product Sales 3-3 Recommendation Algorithms Recommend Products that are suitable for solving familiar business problems. 3-4 Anomaly Detection Algorithms Detect Product Failure 4-1 Overview 4-2 Text Data Product Word-of-Mouth 4-3 Image Data Product Image Identification 5Chapter 5 Learning and Selecting Machine Learning Algorithms and Evaluation Indicators 5Learning and Selecting Machine Learning Models Chapter6 Operating Model 6-1 Operating Machine Learning Models 6-2 Batch Forecasting 6-3 Real Time Forecasting Fukabori