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Materials Data Science [E-Book] : Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering /
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A biologist's guide to artificial intelligence : building the foundations of artificial intelligence and machine learning for achieving advancements in life sciences /
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Das ChatGPT Powerhandbuch : vom Einsteiger zum Profi ; entfesseln Sie das volle Potenzial der KI-Technologie /
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Basiswissen KI-Testen : Qualität von und mit KI-basierten Systemen ; Aus- und Weiterbildung zum Certified Tester AI Testing - Foundation Level Specialist nach ISTQB®-Standard /
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ChatGPT for Java : a hands-on developer's guide to ChatGPT and Open AI APIs /
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Effektives Prompting : ein Leitfaden zum Prompt Engineering ; mit cleveren Prompting KI-Systeme effektiv nutzen /
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Understanding deep learning /
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Math for deep learning : what you need to know to understand neural networks /
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Handbook of machine learning applications for genomics /
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The principles of deep learning theory : an effective theory approach to understanding neural networks [E-Book] /
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Artificial intelligence : a modern approach /
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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python /
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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
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Deep learning : a visual approach /
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Practical deep learning : a Python-based introduction /
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Machine learning with neural networks : an introduction for scientists and engineers [E-Book] /
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Guide to Deep Learning Basics [E-Book] : Logical, Historical and Philosophical Perspectives /
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Deep learning with TensorFlow 2 and keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, second edition [E-Book] /
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Handbuch Data Science : mit Datenanalyse und Machine Learning Wert aus Daten generieren /
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Hands-On machine learning with TensorFlow. js : a guide to building ML applications integrated with web technology using the TensorFlow. js library [E-Book] /
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