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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
Data smart : using data science to transform information into insight
Raw data <PEAK books>
Data Science and Big Data Analytics: Discovering Analyzing Visualizing and Presenting Data
Designing Social Inquiry: Scientific Inference in Qualitative Research
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
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data
Introduction to HPC with MPI for Data Science (Undergraduate Topics in Computer Science)
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>
Nonnegative Matrix Factorization (Data Science)
Process Mining: Data Science in Action
The Use of Social Science Data in Supreme Court Decisions
Clojure for Data Science
Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow
Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)
Journal on Data Semantics V (Lecture Notes in Computer Science 3870)
Rで楽しむベイズ統計入門[しくみから理解するベイズ推定の基礎] (Data Science Library)
Supervised and Unsupervised Learning for Data Science
Handbook of Data Structures and Applications (Chapman & Hall/CRC Computer and Information Science Series)
Bayesian 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)
ExcelとRで学ぶ ベイズ分析入門 (Compass Data Science)
Analysis of Observed Chaotic Data (Soft) <Institute for Nonlinear Science>
Bayesian Methods for Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)
Atmospheric Data Analysis (Cambridge Atmospheric and Space Science Series)
Categories and computer science <Cambridge computer science texts>
Data Science For Dummies (For Dummies (Computer/Tech))
Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R
Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science 454)
北海道地区自然災害科学資料センター報告 7, pp21-36, 1992(抜粋) Bulletin of the Natural Disaster Science Data Center, Hokkaido 7
BERT入門ーープロ集団に学ぶ新世代の自然言語処理 (AI/Data Science実務選書)
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>
Geospatial Data Science Quick Start Guide: Effective techniques for performing smarter geospatial analysis using location intelligence
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>
Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
実践Data Scienceシリーズ Pythonではじめるテキストアナリティクス入門
Advanced ANSI SQL Data Modeling and Structure Processing (Artech House Computer Science Library)
Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
Statistical Methods for Handling Incomplete Data (Chapman & Hall/CRC Texts in Statistical Science)
実践Data Scienceシリーズ データ分析のためのデータ可視化入門
Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (DIMACS Series in Discrete Mathematics and Theoretical Computer Science)
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