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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications is a practical guide to building reliable, scalable, and production-ready machine learning…
Superintelligence: Paths, Dangers, Strategies is a groundbreaking exploration of artificial intelligence, machine intelligence, and the future relationship between humans and advanced AI…
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems is a practical guide for anyone…
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter is a practical and comprehensive guide for anyone who wants to…