Bayesian Analysis with Python : A practical guide to probabilistic modeling

Bayesian Analysis with Python : A practical guide to probabilistic modeling

Wedi'i Gadw mewn:

Manylion Llyfryddiaeth
Prif Awdur:	Martin, Osvaldo A. (19..-). (Awdur)
Awduron Eraill:	Fonnesbeck, Christopher. (Préface), Wiecki, Thomas.
Fformat:	E-Book
Iaith:	Anglais
Cyhoeddwyd:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Mynediad Ar-lein:	Accès à l'E-book

Eitemau Tebyg

Bayesian Analysis with Python
gan: Martin, Osvaldo.
Cyhoeddwyd: (2016)

Bayesian Data Analysis
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Doing bayesian data analysis : a tutorial introduction with R and BUGS
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Bayesian population analysis using WinBUGS : a hierarchical perspective
gan: Kery, Marc (197.-....).
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Bayesian Inference
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Bayesian Argumentation : The practical side of probability

Bayesian Models : A Statistical Primer for Ecologists
gan: Hobbs, N. Thompson.
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Flexible Bayesian Regression Modelling
gan: Fan, Yanan.
Cyhoeddwyd: (2019)

Bayesian data analysis in ecology using linear models with R, BUGS, and Stan : including comparisons to frequentist statistics
Cyhoeddwyd: (2015)

Advancements in Bayesian Methods and Implementations
gan: Young, G. Alastair (19..-....).

Time Series Analysis with Python Cookbook : Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
gan: Atwan, Tarek A..
Cyhoeddwyd: (2022)

Enhancing Deep Learning with Bayesian Inference : Create more powerful, robust deep learning systems with Bayesian deep learning in Python
gan: Benatan, Matt.

Regression analysis with Python
gan: Massaron, Luca (19..-....).
Cyhoeddwyd: (2016)

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
gan: Koduvely, Hari M..
Cyhoeddwyd: (2015)

Data analysis with Python : a modern approach
gan: Taïeb, David (19..-....).
Cyhoeddwyd: (2018)

Python data analysis
gan: Fandango, Armando.
Cyhoeddwyd: (2017)

Python Data Analysis : Perform data collection, data processing, wrangling, visualization, and model building using Python
gan: Navlani, Avinash.
Cyhoeddwyd: (2021)

Practical machine learning for data analysis using Python
gan: Subasi, Abdulhamit (19..-....).
Cyhoeddwyd: (2020)

Learning Geospatial Analysis with Python : Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
gan: Lawhead, Joel.

Monte Carlo methods in Bayesian computation : with 32 illustrations
gan: Chen, Ming-Hui, 1961-
Cyhoeddwyd: (2000)

Specifying statistical models (from parametric to non-parametric, using Bayesian or non-Bayesian approaches) : proceedings of the Second Franco-Belgian Meeting of Statisticians, held in Louvain-la-Neuve (Belgium), October 15-16, 1981
Cyhoeddwyd: (1983)

Mastering probabilistic graphical models using Python
gan: Ankan, Ankur.
Cyhoeddwyd: (2015)

Learning Geospatial Analysis with Python
gan: Lawhead, Joel.
Cyhoeddwyd: (2013)

Python geospatial analysis cookbook
gan: Diener, Michael.
Cyhoeddwyd: (2015)

Python data analysis cookbook
gan: Idris, Ivan.
Cyhoeddwyd: (2016)

Mastering Python data analysis
gan: Persson, Magnus Vilhelm.
Cyhoeddwyd: (2016)

Python geospatial analysis essentials
gan: Westra, Erik.
Cyhoeddwyd: (2015)

Data Analysis Foundations with Python : Master Data Analysis with Python: From Basics to Advanced Techniques

Data Analysis with Python : Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (English Edition)
gan: Dixit, Rituraj.
Cyhoeddwyd: (2022)

Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis
gan: Vo.t.h, Phuong.
Cyhoeddwyd: (2015)

Hands-on Markov models with Python : implement probabilistic models for learning complex data sequences using the Python ecosystem
gan: Ankan, Ankur.
Cyhoeddwyd: (2018)

Big Data Analysis with Python : Combine Spark and Python to unlock the powers of parallel computing and machine learning
gan: Marin, Ivan (1973-....).
Cyhoeddwyd: (2019)

Mastering geospatial analysis with Python : explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
gan: Tomas, Silas.
Cyhoeddwyd: (2018)

Hands-On Exploratory Data Analysis with Python : Perform EDA techniques to understand, summarize, and investigate your data
gan: Mukhiya, Suresh Kumar.
Cyhoeddwyd: (2020)

Graph Data Modeling in Python : A practical guide to curating, analyzing, and modeling data with graphs
gan: Hutson, Gary.

Exploratory Data Analysis with Python Cookbook : Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
gan: Oluleye, Ayodele.

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
gan: Ramsay, Allan.

The Design Analysis Handbook A Practical Guide to Design Validation
gan: Walker, N. Edward.

Power Systems Modelling and Fault Analysis : Theory and Practice
gan: Tleis, Nasser D..
Cyhoeddwyd: (2019)

Molecular genetic analysis of populations : A practical approach
gan: Hoelzel, A. Rus.
Cyhoeddwyd: (1992)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1