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Beyond Basic Statistics

Tips, Tricks, and Techniques Every Data Analyst Should Know

Kristin H. Jarman

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簡介

類別

關於本書

語言：English
ISBN：9781118856123
發行日期：2015年4月24日
出版商：Wiley

出版單位：Wiley
檔案格式：EPUB3
檔案大小：8.62 MB
下載選項：EPUB3 (Adobe DRM)

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Beyond Basic Statistics

為什麼要和我們一起閱讀？

簡介

關於本書

書籍詳細資料

如何閱讀

延伸閱讀

Privacy, Big Data, and the Public Good

Handbook of Statistical Analysis and Data Mining Applications

Statistical and Machine Learning Approaches for Network Analysis

Categorical Data Analysis

Actuaries' Survival Guide

Python for Probability, Statistics, and Machine Learning

Machine Learning

The Essentials of Data Science: Knowledge Discovery Using R

Data Mining and Predictive Analysis

Statistical and Machine-Learning Data Mining:

Big and Complex Data Analysis

Handbook of Statistical Analysis and Data Mining Applications

Modern Issues and Methods in Biostatistics

High-Dimensional Covariance Estimation

Service Industry Databook

Analysis of Large and Complex Data

Knowledge Discovery in Spatial Data

Sports Data Mining

Econophysics Approaches to Large-Scale Business Data and Financial Crisis

Big Data Analytics in Genomics

Classification and Data Mining

Community Structure of Complex Networks

The Data Book

Advances in K-means Clustering

Research Analytics

Multivariate Statistics

Basics of Bioinformatics

Performing Data Analysis Using IBM SPSS

Cognitive (Internet of) Things

Intuition, Trust, and Analytics

Data Science, Learning by Latent Structures, and Knowledge Discovery

Customer and Business Analytics

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Mobile Health

Big Data Analytics

Boosted Statistical Relational Learners

Algorithms from and for Nature and Life

Data Classification

Common Errors in Statistics (and How to Avoid Them)

作者的更多作品

The Art of Data Analysis

你喜歡這本書嗎？

電子書

有聲書

為什麼要和我們一起閱讀？

作者的更多作品

The Art of Data Analysis

你喜歡這本書嗎？

最新部落格貼文

延伸閱讀

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Python for Probability, Statistics, and Machine Learning

Machine Learning

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Data Mining and Predictive Analysis

Statistical and Machine-Learning Data Mining:

Big and Complex Data Analysis

Handbook of Statistical Analysis and Data Mining Applications

Modern Issues and Methods in Biostatistics

High-Dimensional Covariance Estimation

Service Industry Databook

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Knowledge Discovery in Spatial Data

Sports Data Mining

Econophysics Approaches to Large-Scale Business Data and Financial Crisis

Big Data Analytics in Genomics

Classification and Data Mining

Community Structure of Complex Networks