Data Science and Big Data Analytics Discovering Analyzing Visualizing and Presentating data
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The second technique is based on the application of Genetic Algorithm for the selection of the optimal parameters of a recurrent neural network for time series forecast. GA was
; bn so that the sum of squared errors is the smallest (minimum). The most powerful and mathematically mature data analysis method, multiple linear regression is focused on a
Chapter 2 , Enterprise Data Lake using HDInsight , covers the main points of the current Enterprise Data Warehouse and provides a path for an enterprise Data Lake based on the
Based on the outcome of partial regression test on the table above, it is indicating that variable capital structure and variable financial performance partially have positively and
We used Spark MLlib to predict stock price movements We applied Machine learning libraries on historical data for 10 companies The results indicate that linear regression, random
Open challenges and research issues of big data and cloud computing are talked about in detail by numerous researchers which features the challenges in data management, data variety and
The 90% CL upper limit on the signal yield NULsig is obtained with the POLE program [29] based on the number of observed data and expected background events, the uncertainty in
CONCLUSION AND SUGGESTION Based on the data and analysis, we concluded that: 1 The Mathematics learning outcome of Computer and Network Engineering students in Vocational High School 7
