Python for Probability, Statistics, and Machine Learning

Unpingco, Jos�

ISBN 10: 3030185443 ISBN 13: 9783030185442

Editorial: Springer Nature Switzerland AG (edition 2nd ed. 2019), 2019

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

Guardar para m�s tarde

Vendido por BooksRun, Philadelphia, PA, Estados Unidos de America

Vendedor de AbeBooks desde 2 de febrero de 2016

Calificaci�n del vendedor: 5 de 5 estrellas

Ver los art�culos de este vendedor

Ver todos los ejemplares de este libro

Usado - Encuadernaci�n de tapa dura

Condici�n: Usado - Aceptable

Precio: EUR 34,41 Convertir moneda

EUR 64,15 gastos de env�o desde Estados Unidos de America a Espa�a Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Guardar para m�s tarde

Descripci�n

Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

N� de ref. del art�culo 3030185443-11-1

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

Python for Probability, Statistics, and Machine Learning

Editor

Springer Nature Switzerland AG (edition 2nd ed. 2019)

Fecha de publicaci�n

2019

Idioma

Ingl�s

ISBN 10

3030185443

ISBN 13

9783030185442

Encuadernaci�n

Hardcover

Edici�n

2nd ed. 2019.

Estado

Good

Cat�logos de vendedores

Acerca de

Sinopsis

Introduction.- Part 1 Getting Started with Scientific Python.- Installation and Setup.- Numpy.- Matplotlib.- Ipython.- Jupyter Notebook.- Scipy.- Pandas.- Sympy.- Interfacing with Compiled Libraries.- Integrated Development Environments.- Quick Guide to Performance and Parallel Programming.- Other Resources.- Part 2 Probability.- Introduction.- Projection Methods.- Conditional Expectation as Projection.- Conditional Expectation and Mean Squared Error.- Worked Examples of Conditional Expectation and Mean Square Error Optimization.- Useful Distributions.- Information Entropy.- Moment Generating Functions.- Monte Carlo Sampling Methods.- Useful Inequalities.- Part 3 Statistics.- Python Modules for Statistics.- Types of Convergence.- Estimation Using Maximum Likelihood.- Hypothesis Testing and P-Values.- Confidence Intervals.- Linear Regression.- Maximum A-Posteriori.- Robust Statistics.- Bootstrapping.- Gauss Markov.- Nonparametric Methods.- Survival Analysis.- Part 4 Machine Learning.- Introduction.- Python Machine Learning Modules.- Theory of Learning.- Decision Trees.- Boosting Trees.- Logistic Regression.- Generalized Linear Models.- Regularization.- Support Vector Machines.- Dimensionality Reduction.- Clustering.- Ensemble Methods.- Deep Learning.- Notation.- References.- Index.

Acerca del autor

Dr. Jos� Unpingco completed his PhD at the University of California, San Diego in 1997 and has since worked in industry as an engineer, consultant, and instructor on a wide-variety of advanced data processing and analysis topics, with deep experience in machine learning and statistics. As the onsite technical director for large-scale Signal and Image Processing for the Department of Defense (DoD), he spearheaded the DoD-wide adoption of scientific Python. He also trained over 600 scientists and engineers to effectively utilize Python for a wide range of scientific topics -- from weather modeling to antenna analysis. Dr. Unpingco is the cofounder and Senior Director for Data Science at a non-profit Medical Research Organization in San Diego, California. He also teaches programming for data analysis at the University of California, San Diego for engineering undergraduate/graduate students. He is author of Python for Signal Processing (Springer 2014) and Python for Probability, Statistics, and Machine Learning (2016)

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

BooksRun helps to save money on textbooks. We are committed to providing each customer with the highest standard of customer service. Please pay close attention to the description of the book and its condition you are ordering. If you have any questions or issues, please make sure to contact us first so we could resolve them. All orders are shipped on the same or the next business day. It usually takes 1 to 5 business days to receive your item if you choose expedited shipping. All orders submitted are eligible for a return within 30 days after the delivery. Thanks for shopping with us!

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AZ Texts LLC
228 Park Ave S Suite 38827, New York, NY, 10003, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

Derecho a cancelaci�n

Condiciones de env�o

Tarifas de env�o de Estados Unidos de America a Espa�a

Tarifas de env�o de Estados Unidos de America a Espa�a
Cantidad del pedido	De 25 a 45 d�as h�biles	De 8 a 14 d�as h�biles
Primer art�culo	EUR 64.15	EUR 64.15

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.