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Data Science From Scratch: The #1 Data Science Guide For Everything A Data Scientist Needs To Know: Python Linear Algebra Statistics Coding Applications Neural Networks And Decision Trees
Raw data <PEAK books>
Data smart : using data science to transform information into insight
Data Science and Big Data Analytics: Discovering Analyzing Visualizing and Presenting Data
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data
Practical Text Analytics: Maximizing the Value of Text Data (Advances in Analytics and Data Science 2)
Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
Algorithms for Data Science
Modern Approaches to Data Assimilation in Ocean Modeling (Elsevier Oceanography Series)
Modelling Survival Data in Medical Research : 4th Edition <Chapman & Hall/CRC Texts in Statistical Science>
Analysis of Observed Chaotic Data (Soft) <Institute for Nonlinear Science>
Metallic Shifts in NMR : Part. 1-4 A review of the theory and comprehensive critical data compilation of metallic materials <Progress in materials science Vol.20>
Bayesian Data Analysis : 3rd Edition <Texts in Statistical Science>
Categories and computer science <Cambridge computer science texts>
Atmospheric Data Analysis (Cambridge Atmospheric and Space Science Series)
Bayesian Data Analysis Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)
Geospatial Data Science Quick Start Guide
Data Science (The MIT Press Essential Knowledge series)
Process Mining: Data Science in Action
Epidemiology: Study Design and Data Analysis Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
Handbook of Data Structures and Applications (Chapman & Hall/CRC Computer and Information Science Series)
Supervised and Unsupervised Learning for Data Science (Unsupervised and Semi-Supervised Learning)
Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science 454)
Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming
Data Science For Dummies
Journal on Data Semantics V (Lecture Notes in Computer Science 3870)
Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science work?ow
The Use of Social Science Data in Supreme Court Decisions
Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
ExcelとRで学ぶ ベイズ分析入門 (Compass Data Science)
実践Data Scienceシリーズ Rではじめる地理空間データの統計解析入門
Bayesian Methods for Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series 148)
PythonではじめるKaggleスタートブック <実践Data Scienceシリーズ>
Dynamic System Identification Experiment Design and Data Analysis <Mathematics in Science and Engineering 136>
基礎からわかる時系列分析 ―Rで実践するカルマンフィルタ・MCMC・粒子フィルター (Data Science Library)
実践Data Scienceシリーズ RとStanではじめる ベイズ統計モデリングによるデータ分析入門
Statistical Methods for Handling Incomplete Data (Chapman & Hall/CRC Texts in Statistical Science)
Advanced ANSI SQL Data Modeling and Structure Processing (Artech House Computer Science Library)
Computer Age Statistical Inference: Algorithms Evidence and Data Science (Institute of Mathematical Statistics Monographs Series Number 5)
Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
東アジア国民性比較データの科学
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