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Lessons Learned in Software Testing: A Context-Driven Approach [Book]
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Deep Learning [Book]
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How We Learn: Why Brains Learn Better Than Any Machine . . . for Now [Book]
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Learning Airtable: Building Database-Driven Applications with No-Code [Book]
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Deep Learning: Foundations and Concepts [Book]
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Learning UML 2.0 [Book]
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Semi-Supervised Learning [Book]
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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems [Book]
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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow [Book]
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Peak Learning: How to Create Your Own Lifelong Education Program for Personal Enlightenment and Professional Success [Book]
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Kafka: The Definitive Guide : Real-time Data and Stream Processing at Scale [Book]
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Genetic Algorithms in Search, Optimization, and Machine Learning [Book]
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Machine Learning Essentials [Book]
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Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch [Book]
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Getting Started with Amazon SageMaker Studio: Learn to Build End-To-end Machine Learning Projects in the SageMaker Machine Learning IDE [Book]
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Learning from Data: A Short Course [Book]
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Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions [Book]
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Mobile Learning Mindset: The IT Professional's Guide to Implementation [Book]
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Nexus: A Brief History of Information Networks from the Stone Age to AI [Book]
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Understanding Deep Learning [Book]
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