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Artificial intelligence machine learning and deep learning
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 logistics 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 thepretical discussion. In addition, this book containts separate appendicies for Keras, TensorFlow2, and Pandas.
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