|Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)|
|Friday, 06 March 2020|
Beginning with an introduction to AI, machine learning, deep learning, NLP, and reinforcement learning, Oswald Campesato covers machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. The book also covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion and has appendices for Keras, TensorFlow 2, and Pandas.
Author: Oswald Campesato
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