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标签名: 数据科学
Python机器学习(原书第2版)
出版日期: 2018-01
Python for Probability, Statistics, and Machine Learning
出版日期: 2016-01
集成学习:基础与算法
出版日期: 2020-01
Machine Learning Refined: Foundations, Algorithms, and Applications
出版日期: 2016-01
数据科学手册
出版日期: 2019-01
Introduction to Data Mining, Second Edition
出版日期: 2018-01
Practical.Data.Science.with.R.2nd.Edition
出版日期: 2019-01
Matrix Algebra: Theory, Computations, and Applications in Statistics
出版日期: 2010-01
Python数据分析:活用Pandas库
出版日期: 2020-01
Python数据科学与机器学习
出版日期: 2019-01
Python数据科学入门
出版日期: 2018-01
数据分析
出版日期: 2018-01

数据分析

评分: 0.0
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
出版日期: 2015-01
深入浅出数据科学
出版日期: 2018-01
Designing with Data: Improving User Experience with Large Scale User Testing
出版日期: 2016-01
Data Mining: The Textbook
出版日期: 2015-01
Simulation for Data Science with R
出版日期: 2016-01
Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel
出版日期: 2013-01
Experimental Design and Data Analysis for Biologists
出版日期: 2002-01
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
出版日期: 2018-01
The Data Loom: Weaving Understanding by Thinking Critically and Scientifically with Data
出版日期: 2019-01
Data Science Landscape: Towards Research Standards and Protocols
出版日期: 0000-01
Logistic Regression: A Self-Learning Text
出版日期: 2010-01
The Data Science Handbook: A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline
出版日期: 2017-01