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learning - wyniki wyszukiwania

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Okładka:Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
Autor: Kirill Kolodiazhnyi
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Okładka:Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
Autor: Sebastian Raschka, Vahid Mirjalili
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Okładka:Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Autor: Giuseppe Ciaburro
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Okładka:Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning
Autor: Brett Lantz
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Okładka:Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
Autor: Patrick R. Nicolas
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Okładka:Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
Autor: Kumar Abhishek, Dr. Mounir Abdelaziz
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Okładka:Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
Autor: Ali Madani, Stephen MacKinnon
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Okładka:Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
Autor: Matt Benatan, Jochem Gietema, Marian Schneider
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Okładka:Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
Autor: Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov
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Pozostałe wyniki:

Okładka:Instant Edmodo How-to. Implement a learning management system in your classroom environment seamlessly and engage students in their own learning with Edmodo Instant Edmodo How-to. Implement a learning management system in your classroom environment seamlessly and engage students in their own learning with Edmodo
Autor: Dayna Laur
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Okładka:Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
Autor: Sebastian Raschka, Vahid Mirjalili
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Okładka:What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning What's New in TensorFlow 2.0. Use the new and improved features of TensorFlow to enhance machine learning and deep learning
Autor: Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal
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Okładka:Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
Autor: Joshua Burkhow, Justin Bozonier, Stefano Paluello
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Okładka:Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows
Autor: Michael Bironneau, Toby Coleman
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Okładka:Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
Autor: Taylor Smith
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Okładka:Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j
Autor: Nisheeth Joshi
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