Cargando…

Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line /

Mostrar otras versiones (1)

Improving the User Experience through Practical Data Analytics is your must-have resource for making UX design decisions based on data, rather than hunches. Authors Fritz and Berger help the UX professional recognize and understand the enormous potential of the ever-increasing user data that is ofte...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores principales:	Fritz, Mike (Autor), Berger, Paul D., 1943- (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Waltham, MA : Morgan Kaufmann, [2015]
Temas:	Data mining. Quantitative research. Exploration de données (Informatique) Recherche quantitative.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line /
por: Fritz, Mike, et al.
Publicado: (2015)

Basic statistics and data mining for data science.
Publicado: (2017)

Applied Data Science Workshop - Second Edition
por: Galea, Alex
Publicado: (2020)

Introduction to data analytics with KNIME : a data science approach to analytics /
Publicado: (2016)

How to use your data science team : becoming a data-driven organization /
Publicado: (2016)

Unsupervised learning for exploration and classification of health data : advanced analysis using Python and R /
Publicado: (2017)

Analyzing data in the Internet of Things : a collection of talks from Strata + Hadoop World 2015 /
por: LaPlante, Alice, 1958-
Publicado: (2016)

Finding profit in your organization's data : three examples from the frontlines of IoT /
por: Turner, Cameron
Publicado: (2016)

Become a Python data analyst /
Publicado: (2017)

Making predictions with data and Python /
Publicado: (2017)

Advanced statistics and data mining for data science /
Publicado: (2018)

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

Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules /
por: Thakur, Ankita
Publicado: (2016)

Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules /
por: Thakur, Ankita
Publicado: (2016)

Linear methods for optimization and prediction in healthcare : make causal inferences in health data using R and Python /
Publicado: (2017)

R : predictive analysis : master the art of predictive modeling /
por: Fischetti, Tony, et al.
Publicado: (2017)

Mastering Spark for structured streaming : building end-to-end structured streaming applications with Spark 2.0 /
Publicado: (2016)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Deep learning for health tech : neural network applications in healthcare using Python and TensorFlow /
Publicado: (2017)

Data analysis and applications 3 : computational, classification, financial, statistical and stochastic methods /
Publicado: (2020)

How do I choose the correct predictive model for my organizational questions? /
Publicado: (2017)

Data Analysis in the Cloud : Models, Techniques and Applications /
por: Talia, Domenico, et al.
Publicado: (2016)

The unsupervised learning workshop get started with unsupervised learning and simplify unorganized data to make predictions /
por: Jones, Aaron, et al.
Publicado: (2020)

Ethics and data science /
por: Loukides, Michael Kosta, et al.
Publicado: (2018)

Reporting, predictive analytics, and everything in between : a guide to selecting the right analytics for you /
por: Stupakevich, Brett, et al.
Publicado: (2019)

Codeless time series analysis with KNIME : a practical guide to implementing forecasting models for time series analysis applications /
por: Weisinger, Corey, et al.
Publicado: (2022)

Data Analysis in the Cloud : Models, Techniques and Applications /
por: Talia, Domenico, et al.
Publicado: (2016)

This is service design methods : a companion to this is Service design doing /
por: Stickdorn, Marc
Publicado: (2018)

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

Data Analysis and Applications 1 /
por: Skiadas, Christos, et al.
Publicado: (2019)

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /
por: Fuentes, Alvaro
Publicado: (2018)

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /
por: Fuentes, Alvaro
Publicado: (2018)

Statistics for data science /
Publicado: (2018)

Foundations of data intensive applications : large scale data analytics under the hood /
por: Kamburugamuve Loku Acharilage, Supun Madhushanka Kamburugamuva, et al.
Publicado: (2021)

A data-driven approach to customer relationships : a case study of Nedbank's data practices in South Africa /
por: Winig, Laura
Publicado: (2016)

Advanced Splunk : master the art of getting the maximum out of your machine data using Splunk /
por: Yadav, Ashish Kumar Tulsiram
Publicado: (2016)

Mining social media : finding stories in Internet data /
por: Vo, Lam Thuy
Publicado: (2020)

A global approach to data value maximization : integration, machine learning and multimodal analysis /
por: Dell'Aversana, Paolo, 1964-
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_c684k2omju0bpajr35l3oqi9r8