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Okładka:Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
Autor: Sebastian Raschka
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Okładka:Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C# Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
Autor: Jarred Capellman
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Okładka:Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
Autor: Giuseppe Bonaccorso
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Okładka:Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
Autor: Mark Ryan
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Okładka:Drupal for Education and E-Learning. Teaching and learning in the classroom using the Drupal CMS Drupal for Education and E-Learning. Teaching and learning in the classroom using the Drupal CMS
Autor: Bill Fitzgerald, Dries Buytaert
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Okładka:Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
Autor: Emmanuel Tsukerman
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Okładka:The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Autor: Praca zbiorowa
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Okładka:Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
Autor: Krishnendu Kar
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Okładka:Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition
Autor: Joseph Howse, Joe Minichino
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Okładka:Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Autor: Ben Auffarth
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Okładka:Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
Autor: Rich Collier, Camilla Montonen, Bahaaldine Azarmi
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Okładka:Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
Autor: Alessandro Marrandino
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Okładka:Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
Autor: Dipayan Sarkar, Vijayalakshmi Natarajan
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Okładka:TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
Autor: Palanisamy P
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Okładka:Applied Deep Learning with Python. Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Applied Deep Learning with Python. Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Autor: Alex Galea, Luis Capelo
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Okładka:Applied Supervised Learning with R. Use machine learning libraries of R to build models that solve business problems and predict future trends Applied Supervised Learning with R. Use machine learning libraries of R to build models that solve business problems and predict future trends
Autor: Karthik Ramasubramanian, Jojo Moolayil
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Okładka:Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
Autor: Guglielmo Iozzia
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Okładka:Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
Autor: Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
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