Cover Image

Introduction to machine learning with Python : a guide for data scientists /

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solu...

Full description

Saved in:

Bibliographic Details
Main Authors:	Müller, Andreas C. (Author), Guido, Sarah (Author)
Format:	Book
Language:	English
Published:	Sebastopol, CA, USA : O'Reilly Media, Inc., 2016. ©2017
Edition:	First edition.
Subjects:	Python (Lenguaje de programación) Data mining (Minería de datos)
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Introduction to Machine Learning with Python.
by: Chopra, Deepti, et al.
Published: (2023)

Big Data con Python. Recolección, almacenamiento y proceso.
by: Caballero Roldán, Rafael
Published: (2018)

Mining of massive datasets.
by: Leskovec, Jurij, et al.
Published: (2014)

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter
by: McKinney, Wes
Published: (2022)

Data science and big data analytics: discovering, analyzing, visualizing and presenting data
Published: (2015)

The data science design manual
by: Skiena, Steven S
Published: (2017)

Data mining: concepts and techniques
by: Han, Jiawei, et al.
Published: (2012)

Data mining: theories, algorithms, and examples
by: Ye, Nong
Published: (2014)

Big data, data mining, and machine learning: value creation for business leaders and practitioners
by: Dean, Jared
Published: (2014)

Analytics in a Big Data world: the essential guide to data service and its applications
by: Baesens, Bart
Published: (2014)

Statistical Data Science
by: Adams, Niall
Published: (2018)

R for data science: import, tidy, transform, visualize, and model data
by: Wickham, Hadley, et al.
Published: (2016)

Data mining for business intelligence: concepts, techniques, and applications in Microsoft Excel with XLMiner
by: Shmueli, Galit, et al.
Published: (2010)

Statistics, data Mining and Machine Learning in Astronomy. A practical phyton guide for the analysis of survey data
by: Ivezić, Željko
Published: (2020)

Big data analytics using multiple criteria decision-making models
by: Ramanathan, Ramakrishnan, et al.
Published: (2017)

Econometría avanzada: Técnicas y herramientas
by: Pérez López, César
Published: (2008)

Python Programming and Numerical Methods. A Guide for Engineers and Scientists.
by: Kong, Qingkai, et al.
Published: (2021)

Aprende a programar con Python
by: Luján Castillo, José Dimas
Published: (2019)

Hacking ético con herramientas Python
by: Ortega Candel, José Manuel
Published: (2018)

Data mining with Rattle and R: the art of excavating data for knowledge discovery
by: Williams, Graham
Published: (2011)

Practical numerical and scientific computing with MATLAB® and Python.
by: Bashier, Eihab B. M.
Published: (2020)

Big data analytics with R: utilize R to uncover hidden patterns in your Big Data
by: Walkowiak, Simon
Published: (2016)

Introduction to data mining for the life sciences
by: Sullivan, Rob
Published: (2012)

Interactive Data Visualization with Python.
by: Belorkar, Abha, et al.
Published: (2020)

Numerical methods in physics with Python.
by: Gezerlis, Alex
Published: (2020)

Applied data mining: statistical methods for business and industry
by: Giudici, Paolo
Published: (2003)

Algoritmos genéticos con Phyton. Un enfoque práctico para resolver problemas de ingeniería
by: Gutierrez Reina, Daniel
Published: (2021)

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference
by: Lane, H. Chad, et al.
Published: (2009)

Estadística práctica para ciencia de datos con R y Python.
by: Bruce, Peter
Published: (2022)

Data mining: el arte de anticipar
by: Palma, Claudio, et al.
Published: (2009)

Python machine learning. Aprendizaje automático y aprendizaje profundo con Python, scikit-learn y TensorFlow
by: Raschka, Sebastián
Published: (2019)

Python fácil
by: Pérez Castaño, Arnaldo
Published: (2016)

Numerical python. Scientific computing and data. Science applications with Numpy, SciPy and Matplotlib.
by: Johansson, Robert
Published: (2019)

Explotar la información noticiosa. Data mining aplicado a la documentación periodística.
by: Colle, Raymond
Published: (2002)

Dynamical systems with applications using Python
by: Lynch, Stephen
Published: (2018)

Ciencia de datos.
by: Kelleher, John D.
Published: (2021)

Learning Python
by: Lutz, Mark
Published: (2013)

Effective computation in physics: field guide research with python
by: Scopatz, Anthony, et al.
Published: (2015)

Analítica de datos. La guía definitiva de análisis de Big Data para empresas, técnicas de minería de datos, recopilación de datos y conceptos de inteligencia empresarial.
by: Jones, Herbert
Published: (2019)

Data management platform (DMP) Big data aplicado a campañas online, audiencias y personalización web.
by: López Cuesta, Oscar
Published: (2019)