Artificial Intelligence, Machine Learning, and Deep Learning
English | 2020 | ISBN: 1683924673 | 358 pages | True EPUB | 6.97 MB
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
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