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N� de ref. del art�culo S_433665037

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Detalles bibliogr�ficos

T�tulo: Artificial Intelligence, Machine Learning, and Deep Learning
Editor: Mercury Learning and Information
Fecha de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 1683924673
ISBN 13: 9781683924678
Encuadernaci�n: perfect
Estado: Good

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Sinopsis

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, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas

Acerca del autor

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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