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"Enterprise architect and data scientist"
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Large Scale Data Analysis to benefit Business Profitability
• Machine learning (ML) - Supervised, Unsupervised, Reinforced, Deep
• Frameworks - Hadoop, Apache Spark, Graph Lab, IPython, R
• ML workflow, Algorithms, Tools, Pipelines, and Visualization
• Graph Processing - Frameworks, Databases
• In-memory and Real Time Stream Processing
• Recommendation Engines
Big Data Technologies
Spark and Machine Learning workshops
316 Mobile Devs
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