Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Year: 2015|File Size: 2.8 MB | File Type: Pdf | Pages: 276 | Category: Computer Report This Content
Advanced analytics with spark subtitle patterns for learning from data at scale is a bestselling computer pdf book authorized by Josh Wills, Sandy Ryza, Sean Owen and Uri Laserson. Technology is increasing day by day, now there are latest techniques about dealing large datasets, Apache Spark is one of them. People prefer to use spark programming for their various analytics problems like classification, clustering, collaborative filtering, anomaly detection and dimensionality reduction etc. Advanced Analytics with Spark is really helpful for data science professionals and students working on large datasets.
The main contents of advanced analytics with spark are analyzing big data, predicting forest cover with decision trees, understanding wikipedia with latent semantic analysis, analyzing co-occurrence networks with graphx, financial risk through monte carlo simulation, analyzing neuroimaging data with pyspark and thunder.
Advanced analytics with spark popularity is clear by its price on emazon and other book selling sites ranges up to 30$, I am feeling happy to present pdfbooksinfo viewers this beautiful book free.
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