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 * [MachineLearningWithTensorFlow2ed](https://www.manning.com/books/machine-learning-with-tensorflow-second-edition) is a book on general-purpose machine learning techniques, including regression, classification, unsupervised clustering, reinforcement learning, autoencoders, convolutional neural networks, RNNs, and LSTMs, using TensorFlow 1.14.1.
 * [Serverless Machine Learning](https://www.manning.com/books/serverless-machine-learning-in-action) - a book for machine learning engineers on how to train and deploy machine learning systems on public clouds like AWS, Azure, and GCP, using a code-oriented approach.
 * [The Hundred-Page Machine Learning Book](http://themlbook.com/) - all you need to know about Machine Learning in a hundred pages, supervised and unsupervised learning, SVM, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.
-* [Trust in Machine Learning](https://www.manning.com/books/trust-in-machine-learning) - a book for experienced data scientists and machine learning engineers on how to make your AI a trustworthy partner. Build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
+* [Trustworthy Machine Learning](https://www.amazon.com/Trustworthy-Machine-Learning-Kush-Varshney/dp/B09SL5GPCD) - a book for experienced data scientists and machine learning engineers on how to make your AI a trustworthy partner. Build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
 * [Generative AI in Action](https://www.manning.com/books/generative-ai-in-action) - A book that shows exactly how to add generative AI tools for text, images, and code, and more into your organization’s strategies and projects..
 
 ## Programming