May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Using Python for machine learning
Big data management and machine learning share a strong correlation. This is because both use algorithms that are data-driven and involve filtering out patterns to reveal important outcomes when assessing an analytic prediction. Because of a diverse community of practitioners from backgrounds not just pertaining to computer science, Python is the perfect choice to develop such data-driven programs due to its simple syntax. The availability of a huge number of pre-existing libraries in scientific computing such as NumPy, SciPy, TensorFlow, Theano, and many others makes one very easily adapt towards embracing AI development through Python.
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