This book begins with an introduction to AI, followed by Machine learning, Deep learning, NLP, and reinforcement learning.
Features: Covers an introduction to programming concepts related to AI, Machine learning, and Deep Learning Includes material on Keras, Tensor Flow2 and Pandas.
In addition, this book contains appendices for Keras, Tensor Flow 2, and Pandas.
Keras-based code samples are included to supplement the theoretical discussion.
Next, the book covers Deep Learning architectures such as CNNs, RNNs, LSTMs, and auto encoders.
Readers will learn about Machine Learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs.
This book begins with an introduction to AI, followed by Machine learning, Deep learning, NLP, and reinforcement learning