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Okładka:The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
Autor: Aaron Jones, Christopher Kruger, Benjamin Johnston
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Okładka:Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
Autor: Dario Radečić
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Okładka:Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
Autor: Natu Lauchande
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Okładka:Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
Autor: Benjamin Johnston, Ishita Mathur
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Okładka:F# for Machine Learning Essentials. Get up and running with machine learning with F# in a fun and functional way F# for Machine Learning Essentials. Get up and running with machine learning with F# in a fun and functional way
Autor: Sudipta Mukherjee
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Okładka:R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Autor: Dr. Sunil Kumar Chinnamgari
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Okładka:Mastering Machine Learning for Penetration Testing. Develop an extensive skill set to break self-learning systems using Python Mastering Machine Learning for Penetration Testing. Develop an extensive skill set to break self-learning systems using Python
Autor: Chiheb Chebbi
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Okładka:Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
Autor: George Kyriakides, Konstantinos G. Margaritis
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Okładka:Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
Autor: James D. Miller
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Okładka:Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
Autor: Cory Lesmeister
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Okładka:Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
Autor: Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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Okładka:Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
Autor: Rahul Raj
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Okładka:R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition
Autor: Mark Hodnett, Joshua F. Wiley
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Okładka:Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python
Autor: Jalaj Thanaki
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Okładka:Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Autor: Santanu Pattanayak
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Okładka:PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
Autor: Sherin Thomas, Sudhanshu Passi
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Okładka:Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
Autor: Rich Collier, Bahaaldine Azarmi
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Okładka:Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
Autor: AshishSingh Bhatia, Bostjan Kaluza
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Okładka:TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Autor: Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani
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Okładka:Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
Autor: Saif Ahmed, Quan Hua, Shams Ul Azeem
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Okładka:Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
Autor: Frank Kane
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Okładka:Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
Autor: Dipayan Dev
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Okładka:Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
Autor: Sibanjan Das, Umit Mert Cakmak
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Okładka:Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
Autor: Ahmed Menshawy
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