QR kód

Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data...

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Vermeulen, Andreas François (Autor)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Berkeley, CA : Apress, 2018.
Vydání:	1st ed. 2018.
Témata:	Data mining. Big data. Data structures (Computer science).
ISBN:	9781484230541
On-line přístup:
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /
Autor: Stahl, Reinhold
Vydáno: (2018)

Data Mining /
Autor: Cleve, Jürgen, a další
Vydáno: (2020)

Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Vydáno: (2018)

Complete Guide to Open Source Big Data Stack
Autor: Frampton, Michael
Vydáno: (2018)

Proceedings of International Conference on Computational Intelligence and Data Engineering ICCIDE 2017 /
Vydáno: (2018)

Classification, (Big) Data Analysis and Statistical Learning
Vydáno: (2018)

Learn Data Analysis with Python Lessons in Coding /
Autor: Henley, A.J
Vydáno: (2018)

Social Network Based Big Data Analysis and Applications
Vydáno: (2018)

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
Autor: Lerma, L. Octavio
Vydáno: (2018)

Data Mining Algorithms in C++ Data Patterns and Algorithms for Modern Applications /
Autor: Masters, Timothy
Vydáno: (2018)

Big Data Analytics Proceedings of CSI 2015 /
Vydáno: (2018)

Applications of Data Management and Analysis Case Studies in Social Networks and Beyond /
Vydáno: (2018)

A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Vydáno: (2018)

Practical Enterprise Data Lake Insights Handle Data-Driven Challenges in an Enterprise Big Data Lake /
Autor: Gupta, Saurabh
Vydáno: (2018)

Highlighting the Importance of Big Data Management and Analysis for Various Applications
Vydáno: (2018)

Ruby Data Processing Using Map, Reduce, and Select /
Autor: Godse, Jay
Vydáno: (2018)

Next-Generation Big Data A Practical Guide to Apache Kudu, Impala, and Spark /
Autor: Quinto, Butch
Vydáno: (2018)

Smart Trends in Systems, Security and Sustainability Proceedings of WS4 2017 /
Vydáno: (2018)

Big Data in Context Legal, Social and Technological Insights /
Vydáno: (2018)

Data science and big data analytics in smart environments /
Vydáno: (2022)

Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools and Applications /
Vydáno: (2018)

Software Data Engineering for Network eLearning Environments Analytics and Awareness Learning Services /
Vydáno: (2018)

Analytics and Data Science Advances in Research and Pedagogy /
Vydáno: (2018)

Algorithms and Applications ALAP 2018 /
Vydáno: (2018)

Entrepreneurship and big data : the digital revolution /
Vydáno: (2022)

PySpark Recipes A Problem-Solution Approach with PySpark2 /
Autor: Mishra, Raju Kumar
Vydáno: (2018)

Big Data Analytics Methods : Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing /
Autor: Ghavami, Peter
Vydáno: (2019)

Advances in Data and Information Sciences Proceedings of ICDIS-2017, Volume 1 /
Vydáno: (2018)

Data Science Landscape Towards Research Standards and Protocols /
Vydáno: (2018)

Research handbook on big data law /
Vydáno: (2021)

Statistical Analysis of Microbiome Data with R
Autor: Xia, Yinglin
Vydáno: (2018)

UX Optimization Combining Behavioral UX and Usability Testing Data to Optimize Websites /
Autor: Tomlin, W. Craig
Vydáno: (2018)

Data Science Fundamentals for Python and MongoDB
Autor: Paper, David
Vydáno: (2018)

Practical Web Scraping for Data Science Best Practices and Examples with Python /
Autor: vanden Broucke, Seppe
Vydáno: (2018)

Business Case Analysis with R Simulation Tutorials to Support Complex Business Decisions /
Autor: Brown III, Robert D.
Vydáno: (2018)

Mobile Big Data A Roadmap from Models to Technologies /
Vydáno: (2018)

Big Data in Engineering Applications
Vydáno: (2018)

Granular Computing Based Machine Learning A Big Data Processing Approach /
Autor: Liu, Han
Vydáno: (2018)

Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches /
Vydáno: (2024)

Bursty Human Dynamics
Autor: Karsai, Márton
Vydáno: (2018)