Cargando…

Educating data: using data science to improve learning, motivation, and persistence

Detalles Bibliográficos
Autor principal:	Martin, Taylor
Lenguaje:	eng
Publicado:	O'Reilly Media 2015
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2659165

Ejemplares similares

Supervised and unsupervised learning for data science
por: Berry, Michael W, et al.
Publicado: (2020)

Introducing data science: big data, machine learning, and more, using Python tools
por: Cielen, Davy, et al.
Publicado: (2016)

Mastering Python for data science: explore the world of data science through Python and learn how to make sense of data
por: Madhavan, Samir
Publicado: (2015)

Improve your data quality using sampling distribution: practical statistics for data science
por: Bruce, Peter C, et al.
Publicado: (2016)

Practical data science with SAP: machine learning techniques for enterprise data
por: Foss, Greg, et al.
Publicado: (2019)

Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
por: Kane, Frank
Publicado: (2017)

Data science projects with Python: a case study approach to successful data science projects using Python, Pandas, and Scikit-Learn
por: Klosterman, Stephen
Publicado: (2019)

Clojure for data science: statistics, big data, and machine learning for Clojure programmers
por: Garner, Henry
Publicado: (2015)

Data science algorithms in a week: data analysis, machine learning, and more
por: Natingga, Dávid
Publicado: (2017)

Machine learning algorithms: popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2018)

Data science
por: Kelleher, John D, et al.
Publicado: (2018)

Data science
por: Stahlbock, Robert, et al.
Publicado: (2020)

Data smart: using data science to transform information into insight
por: Foreman, John W
Publicado: (2013)

Data science using Python and R
por: Larose, Chantal D, et al.
Publicado: (2019)

Data science in the cloud with Microsoft Azure machine learning and Python
por: Elston, Stephen F
Publicado: (2016)

Jupyter for data science: exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
por: Toomey, Dan
Publicado: (2017)

Data mining and learning analytics: applications in educational research
por: ElAtia, Samira, et al.
Publicado: (2016)

Mastering Java for data science: building data science applications in Java
por: Grigorev, Alexey
Publicado: (2017)

Improve the outcome of your data experiments with A-B testing: practical statistics for data science
por: Bruce, Peter C, et al.
Publicado: (2016)

Data science for dummies
por: Pierson, Lillian
Publicado: (2015)

Python for data science
por: Massaron, Luca, et al.
Publicado: (2015)

Machine learning algorithms: reference guide for popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2017)

Pro iOS persistence : using core data
por: Privat, Michael, et al.
Publicado: (2014)

Data science with Julia
por: McNicholas, Paul D, et al.
Publicado: (2019)

Java for data science
por: Reese, Richard M, et al.
Publicado: (2016)

Data science for dummies
por: Pierson, Lillian
Publicado: (2017)

Data science in practice
por: Said, Alan, et al.
Publicado: (2018)

Agile data science
por: Jurney, Russell
Publicado: (2013)

What is data science?
por: Loukides, Mike
Publicado: (2011)

Data science for business
por: Provost, Foster, et al.
Publicado: (2013)

Doing data science
por: Schutt, Rachel, et al.
Publicado: (2014)

Data-intensive science
por: Kleese van Dam, Kerstin, et al.
Publicado: (2013)

Data journeys in the sciences
por: Leonelli, Sabina, et al.
Publicado: (2020)

Data science with Python: combine Python with machine learning principles to discover hidden patterns in raw data
por: Chopra, Rohan, et al.
Publicado: (2019)

Principles of data science: learn the techniques and math you need to start making sense of your data
por: Ozdemir, Sinan
Publicado: (2016)

Machine learning in production: developing and optimizing data science workflows and applications
por: Kelleher, Andrew, et al.
Publicado: (2019)

Data-driven science and engineering: machine learning, dynamical systems, and control
por: Brunton, Steven L, et al.
Publicado: (2019)

Breaking data science open: how open data science is eating the world
por: Chambers, Michele, et al.
Publicado: (2017)

Hands-on data science with the command line: automate everyday data science tasks using command-line tools
por: Morris, Jason, et al.
Publicado: (2019)

Data science algorithms in a week: top 7 algorithms for scientific computing, data analysis, and machine learning
por: Natingga, Dávid
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_laerkj54podniogbfjto26m026