Tobiasz Bajek - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
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Python. Uczenie maszynowe
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Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Deep Learning. A Practitioner's Approach
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Machine Learning for OpenCV. Intelligent image processing with Python
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Inteligentna sieć. Algorytmy przyszłości. Wydanie II
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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
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Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Large Scale Machine Learning with Python. Click here to enter text
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Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
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Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
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Moodle Grad
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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 – this book will take you methodically through every stage of applying machine learning
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Natural Language Annotation for Machine Learning
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Web scraping w Data Science. Kurs video. Uczenie maszynowe i architektura splotowych sieci neuronowych