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Top 68 datasets PDF Book Page 3
NASA Technical Reports Server (NTRS) 20120001926: Time-Series Analyses of Supergranule Characteristics Compared Between SDO/HMI, SOHO/MDI and Simulated Datasets
NASA Technical Reports Server (NTRS)
·0.07 MB
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Paul Crickard
·355 Pages
·2020
·10.606 MB
Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall Crc Data Mining and Knowledge Discovery Series)
David Skillicorn
·267 Pages
·2007
·5.846 MB
Hadoop MapReduce Cookbook: Recipes for analyzing large and complex datasets with Hadoop MapReduce
Srinath Perera, Thilina Gunarathne
·300 Pages
·2013
·4.145 MB
NASA Technical Reports Server (NTRS) 20180000421: Understanding the Implications of Merging Existing Lightning Datasets with GLM for Severe Thunderstorm Monitoring
NASA Technical Reports Server (NTRS)
·0.81 MB
R Data Mining: Implement data mining techniques through practical use cases and real world datasets
Andrea Cirillo
·2017
·14.619 MB
Splunk 7 Essentials: Demystify machine data by leveraging datasets, building reports, and sharing powerful insights
Contreras, J-P;Delgado, Erickson;Koelpin, Steven;P. Sigman, Elizabeth
·2018
·6.626 MB
Splunk 7 essentials: demystify machine data by leveraging datasets, building reports, and sharing powerful insights
Contreras, J-P;Delgado, Erickson;Sigman, Betsy Page
·213 Pages
·2018
·8.551 MB
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets
Matthew Moocarme
·2021
·40.213 MB
Hadoop MapReduce v2 Cookbook, 2nd Edition: Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets
Thilina Gunarathne
·695 Pages
·2015
·4.438 MB
Building and Using Datasets on Armed Conflicts (Nato Science for Peace and Security) (Nato Science for Peace and Security)
Mayeul Kauffmann
·204 Pages
·2.895 MB
Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
Ciaburro, Giuseppe;Joshi, Prateek
·2019
·16.233 MB
Hands-On Big Data Analytics with PySpark: Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
Lai, Rudy;Potaczek, Bartlomiej
·2019
·5.358 MB
Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
Johnston, Benjamin;Mathur, Ishita
·404 Pages
·2019
·7.479 MB
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
