Data Preprocessing
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A Technical Analysis of the SQL Machine Learning Library MADlib
Tsinghua University Press · 2019
A Technical Analysis of the SQL Machine Learning Library MADlib, written by Wang Xueying and published by Tsinghua University Press in February 2019, …
Machine Learning from Beginner to Employed: Building AI Models with scikit-learn and Keras
Publishing House of Electronics Industry · 2020
This book is aimed at readers with some Python foundation who want a systematic introduction to machine learning and ultimately to move toward related…
Python Machine Learning, 2nd Edition (Chinese Translation)
China Machine Press · 2018
This book is the Chinese translation of Python Machine Learning (2nd Edition), translated by Chen Bin and published in the China Machine Press "Data S…
Machine Learning: A Python Practice Guide
Publishing House of Electronics Industry · 2018
This is an introductory, practice-oriented book on machine learning. Drawing on his engineering experience leading complex system development at IBM, …
Data Preparation and Feature Engineering: Essential Skills for Data Engineers
Publishing House of Electronics Industry · 2020
This book focuses on the most time-consuming and critical upstream stage of big data and artificial intelligence projects—data preparation and feature…
R Language Data Analysis and Data Mining in Practice
China Machine Press · 2015
This is a practice-oriented guide to data analysis and data mining with R, co-written by technical experts from a data-mining company and university l…
Python Data Science Cheat Sheet - Scikit-Learn
Python Data Science Cheat Sheet - Scikit-Learn is the machine learning volume in the Python Data Science Cheat Sheet series. The series was originally…
Understanding Deep Learning: Principles of Convolutional Neural Networks and Vision Practice
Publishing House of Electronics Industry · 2018
This book is an introductory reader on deep convolutional neural networks for Chinese readers, written by Wei Xiushen, a PhD from Nanjing University's…
Python Data Analysis and Data-Driven Operations (2nd Edition)
China Machine Press · 2019
This book explains, from a hands-on perspective, how to use Python to perform data analysis and data mining, and how to bring the results into the dai…
Industrial Big Data Analysis
Publishing House of Electronics Industry · 2022
Grounded in the author's extensive industry practice, this book covers core concepts, theoretical methods, and practical applications to provide a com…
Foundations of Calculus for Artificial Intelligence
Peking University Press · 2026
This book provides a systematic account of calculus's central role in artificial intelligence, spanning foundational theory to practical application w…
Fundamentals and Practice of Financial Large Model Development
Peking University Press · 2025
This book explains the core knowledge of financial large model development through concrete examples. Comprising 12 chapters, it covers the fundamenta…
Fundamentals and Practice of Large-Scale Language Model Development
Peking University Press · 2025
This book covers the fundamentals of large models; dataset loading, basic processing, and creation; dataset preprocessing; convolutional neural networ…
Big Data Practical Training Case: Movie Recommendation System (Scala Edition)
Posts & Telecom Press · 2021
This book offers a detailed walkthrough of a big data application case—a movie recommendation system (Scala edition). The case covers data preprocessi…
Big Data Practical Training Case: Telecom User Behavior Analysis (Scala Edition)
Posts & Telecom Press · 2021
This book provides a detailed walkthrough of a big data application case—telecom user behavior analysis—covering data preprocessing, data storage and …
Deep Learning and Medical Big Data
· 2020
With data growing exponentially, data-driven prediction and causal inference have made enormous progress in academia over the past five years. This bo…
Python 3 Data Analysis and Machine Learning in Practice
Peking University Press · 2025
Machines learn from large amounts of data analysis. This book first explains the process of data analysis, then details common machine learning theory…