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Artificial Intelligence, Machine Learning, and Deep Learning PDF

300 Pages·2021·4.8114 MB·other
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by Campesato, Oswald| 2021| 300 pages| 4.8114| other

About 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 learningclassifiers 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 supplementthe theoretical discussion. In addition, this book contains appendices forKeras, TensorFlow 2, and Pandas. Features: Covers an introduction toprogramming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas

Detailed Information

Author:Campesato, Oswald
Publication Year:2021
ISBN:1683924673
Pages:300
Language:other
File Size:4.8114
Format:PDF
Price:FREE
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