Cargando…

Data science algorithms in a week: data analysis, machine learning, and more

Detalles Bibliográficos
Autor principal:	Natingga, Dávid
Lenguaje:	eng
Publicado:	Packt Publ. 2017
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2288533

Ejemplares similares

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

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

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

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

Scala for machine learning: data processing, ML algorithms, smart analytics, and more
por: Nicolas, Patrick R
Publicado: (2017)

Machine learning and security: protecting systems with data and algorithms
por: Chio, Clarence, et al.
Publicado: (2018)

Introduction to algorithms for data mining and machine learning
por: Yang, Xin-She
Publicado: (2019)

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

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

Introduction to data science: data analysis and prediction algorithms with R
por: Irizarry, Rafael A
Publicado: (2020)

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

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

Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks
por: Miller, James D
Publicado: (2017)

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)

Learning quantitative finance with R: implement machine learning, time-series analysis, algorithmic trading and more
por: Jeet, Param, et al.
Publicado: (2017)

Multiview machine learning for data analysis
por: Sun, Shiliang, et al.
Publicado: (2019)

Machine learning for big data analysis
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2019)

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

Data science in the cloud with Microsoft Azure machine learning and R: 2015 update
por: Elston, Stephen F
Publicado: (2015)

Advanced machine learning with Python: solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
por: Hearty, John
Publicado: (2016)

Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies
por: Kelleher, John D, et al.
Publicado: (2020)

Exam ref 70-774 perform cloud data science with Azure machine learning
por: Grant, Ginger
Publicado: (2018)

Java: data science made easy : data collection, processing, analysis, and more : a course in two modules
por: Reese, Richard M, et al.
Publicado: (2017)

Python: real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python
por: Joshi, Prateek
Publicado: (2016)

Learning functional data structures and algorithms
por: Khot, Atul S, et al.
Publicado: (2016)

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

Data science on the Google Cloud Platform: implementing end-to-end real-time data pipelines : from ingest to machine learning
por: Lakshmanan, Valliappa
Publicado: (2018)

Spark for data science: analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0
por: Duvvuri, Srinivas
Publicado: (2016)

Data mining and machine learning in cybersecurity
por: Dua, Sumeet, et al.
Publicado: (2011)

Data management in machine learning systems
por: Boehm, Matthias, et al.
Publicado: (2019)

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)

Machine learning: algorithms and applications
por: Mohammed, Mohssen, et al.
Publicado: (2016)

Machine Learning: an algorithmic perspective
por: Marsland, Stephen
Publicado: (2009)

Machine learning: an algorithmic perspective
por: Marsland, Stephen
Publicado: (2015)

More Than Preservation: A Researcher-Centered Approach to Reproducibility in Data Science
por: Feger, Sebastian Stefan, et al.
Publicado: (2019)

Educating data: using data science to improve learning, motivation, and persistence
por: Martin, Taylor
Publicado: (2015)

Learning JavaScript data structures and algorithms
por: Groner, Loiane
Publicado: (2014)

Learning JavaScript data structures and algorithms: hone your skills by learning classic data structures and algorithms in JavaScript
por: Groner, Loiane
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_ii27qjho3v398us33dajj50kgn