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Data Science Methodologies: Current Challenges and Future Approaches
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Data Science Methodologies: Current Challenges and Future Approaches

Iñigo Martinez
E. Viles
Igor García Olaizola
ArXiv (abs)PDFHTML

Papers citing "Data Science Methodologies: Current Challenges and Future Approaches"

5 / 5 papers shown
Title
Data Science Methodology for Cybersecurity Projects
Data Science Methodology for Cybersecurity Projects
F. Foroughi
P. Luksch
15
32
0
12 Mar 2018
Customer Lifetime Value Prediction Using Embeddings
Customer Lifetime Value Prediction Using Embeddings
B. Chamberlain
Ângelo Cardoso
C. H. B. Liu
Roberto Pagliari
M. Deisenroth
51
84
0
07 Mar 2017
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaoshuai Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
57
330
0
25 Aug 2016
E-commerce in Your Inbox: Product Recommendations at Scale
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic
Vladan Radosavljevic
Nemanja Djuric
Narayan L. Bhamidipati
Jaikit Savla
Varun Bhagwan
Doug Sharp
53
308
0
23 Jun 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,170
0
25 Apr 2016

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