Machine Learning Techniques for Text

Preface

Crafting machines that can learn from data to perform intelligent decisions is becoming the dominant paradigm in many areas of technology. Acquiring the necessary skill set to perform this task will definitely boost your career. Machine Learning Techniques for Text aims to help you in this endeavor, focusing specifically on text data and human language. The book will show you how to analyze text data, get started with machine learning, and work effectively with the Python libraries often used for these tasks, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. You will also have the opportunity to work with state-of-the-art deep learning frameworks such as TensorFlow, Keras, and PyTorch.

There is a plethora of resources for ...