Expert-level knowledge of statistical methods machine learning algorithms (e.g.
regression classification clustering time-series forecasting) and deep learning
frameworks (e.g. TensorFlow PyTorch).
o Strong programming skills in languages such as Python or R.
o Solid foundation in computer science fundamentals including data structures
algorithms and software engineering principles.
o Experience with big data technologies (e.g. Spark Hadoop) and cloud platforms
(e.g. AWS Azure GCP).
Expert-level knowledge of statistical methods machine learning algorithms (e.g. regression classification clustering time-series forecasting) and deep learning frameworks (e.g. TensorFlow PyTorch). o Strong programming skills in languages such as Python or R. o Solid foundation in computer science f...
Expert-level knowledge of statistical methods machine learning algorithms (e.g.
regression classification clustering time-series forecasting) and deep learning
frameworks (e.g. TensorFlow PyTorch).
o Strong programming skills in languages such as Python or R.
o Solid foundation in computer science fundamentals including data structures
algorithms and software engineering principles.
o Experience with big data technologies (e.g. Spark Hadoop) and cloud platforms
(e.g. AWS Azure GCP).
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