AI and Analytics

Smart Source AI Professionals have a strong knowledge of engineering and machine learning principles including:


  • Distributed data tools like Hadoop, Spark, Flink
  • Deep learning frameworks such as TensorFlow, Theano, Torch, Deeplearning4j
  • Data Science stack including NumPy, SciPy, pandas, scikit-learn, Statsmodels
  • Programming languages such as Python, R
  • Leverage cloud to run your ad-hoc analytics workloads

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