Artificial Intelligence Machine Learning and Deep Learning
Oswald Campesato [Campesato, Oswald]
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.
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
ক্যাটাগোরিগুলো:
সাল:
2020
প্রকাশক:
Mercury Learning and Information LLC.
ভাষা:
english
পৃষ্ঠা:
300
ISBN 10:
1683924673
ISBN 13:
9781683924678
ফাইল:
EPUB, 4.11 MB
IPFS:
,
english, 2020
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