Εξώφυλλο

Practical Machine Learning Illustrated with KNIME

This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often v...

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Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Geng, Yu (Συγγραφέας), Li, Qin (Συγγραφέας), Yang, Geng (Συγγραφέας), Qiu, Wan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	Αγγλικά
Έκδοση:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Έκδοση:	1st ed. 2024.
Θέματα:	Machine learning. Artificial intelligence > Data processing. Machine Learning. Data Science.
Διαθέσιμο Online:	https://doi.org/10.1007/978-981-97-3954-7
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

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Machine Learning Methods
από: Li, Hang
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Principles of Machine Learning The Three Perspectives /
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Reinforcement Learning Theory and Python Implementation /
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
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Generative Machine Learning Models in Medical Image Computing
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Federated Learning Fundamentals and Advances /
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A First Course in Statistical Learning With Data Examples and Python Code /
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