Python for Probability, Statistics, and Machine Learning

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言語　English
商品番号：9783319307176
発売日　2016年3月16日
出版社：Springer International Publishing

出版社： Springer
ファイル形式　EPUB3
サイズ　21.04 MB
ダウンロードオプション:EPUB3 (Adobe DRM)

シリーズの内容

Python Programming for Data Analysis

José Unpingco

Python for Signal Processing

José Unpingco

Python for Probability, Statistics, and Machine Learning

José Unpingco

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Python for Probability, Statistics, and Machine Learning

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商品情報

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シリーズの内容

Python Programming for Data Analysis

Python for Signal Processing

Python for Probability, Statistics, and Machine Learning

関連書籍

Doing Data Science

All of Statistics

Data Science

Analysis of Large and Complex Data

Big and Complex Data Analysis

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

Algorithms for Data Science

Modeling and Stochastic Learning for Forecasting in High Dimensions

Information Technologies and Mathematical Modelling. Queueing Theory and Applications

Computational Intelligence Methods for Bioinformatics and Biostatistics

Basic Elements of Computational Statistics

Business Intelligence

Examples in Parametric Inference with R

R for SAS and SPSS Users

Probabilistic Cellular Automata

Uncertainty Reasoning for the Semantic Web III

Assessing and Improving Prediction and Classification

Matrix Algebra

Soft Methods for Data Science

Product of Random Stochastic Matrices and Distributed Averaging

Elements of Probability and Statistics

Foundations of Information and Knowledge Systems

Handbook of Computational Approaches to Counterterrorism

Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

Demand-Driven Associative Classification

Learn Business Analytics in Six Steps Using SAS and R

Contributions to Sampling Statistics

Advances in Time Series Analysis and Forecasting

Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Statistical Methods for Ranking Data

Computational Intelligence in Music, Sound, Art and Design

Integrated Uncertainty in Knowledge Modelling and Decision Making

Basics of Modern Mathematical Statistics

Introduction to Probability with Statistical Applications

Probabilistic Graphical Models

Random Walks in the Quarter Plane

Analyzing Markov Chains using Kronecker Products

A Course in Mathematical Statistics and Large Sample Theory

Probability Models

Doubly Classified Model with R

Random-Like Bi-level Decision Making

Poisson Point Processes

Machine Learning and Interpretation in Neuroimaging

Time Series Analysis and Forecasting

Big Data Analytics

Classification, (Big) Data Analysis and Statistical Learning

Statistical Methods for Spoken Dialogue Management

その他の著書

Python Programming for Data Analysis

Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning

Python for Signal Processing

お楽しみいただけましたか？

電子書籍

楽天Koboで読む理由

関連書籍

Doing Data Science

All of Statistics

Data Science

Analysis of Large and Complex Data

Big and Complex Data Analysis

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

Algorithms for Data Science

Modeling and Stochastic Learning for Forecasting in High Dimensions

Information Technologies and Mathematical Modelling. Queueing Theory and Applications

Computational Intelligence Methods for Bioinformatics and Biostatistics

Basic Elements of Computational Statistics

Business Intelligence