IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects

Provides comprehensive instruction on IBM Watson Solutions for Machine Learning, covering various aspects of Artificial Intelligence (AI) and cognitive tools. The text is structured as a book, detailing concepts from foundational machine learning (ML) and deep learning algorithms, such as linear regression and neural networks, to practical implementation using Python, scikit-learn, TensorFlow, and Keras. A major focus is placed on using IBM Watson services, including Watson Assistant for building chatbots, Watson Studio and Machine Learning for deploying models via APIs, and Watson Discovery for Natural Language Processing (NLP) tasks. Furthermore, the material explains essential software engineering practices like data analysis with Pandas, feature engineering, performance metrics, and deploying full-stack web applications to IBM Cloud.

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