This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning.
Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs.
Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders.
Keras-based code samples are included to supplement the theoretical discussion.
In addition, this book contains appendices for Keras, Tensor Flow 2, and Pandas.
Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, Tensor Flow2 and Pandas.
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Mercury Learning & Information Artificial intelligence, machine learning, and deep learning, paperback/oswald campesato
