This e book is geared toward builders with a fundamental data of Python who wish to use it for machine studying. Creator Oswald Campesato begins with a fast-paced introduction to Python 3, NumPy, and Pandas earlier than transferring on to the elemental ideas of machine studying. Subsequent, the e book covers machine studying classifiers, resembling logistic regression, k-NN, resolution timber, random forests, and SVMs. The ultimate chapter contains materials on NLP and RL. Keras-based code samples are included to complement the theoretical dialogue. The e book additionally incorporates separate appendices for normal expressions, Keras, and TensorFlow 2.
Creator: Oswald Campesato
Writer: Mercury Studying & Info
Date: March 2020
Viewers: Python builders concerned with machine studying
Class: Synthetic Intelligence and Python
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