Armando Fandango specjalizuje się w dziedzinie głębokiego uczenia, uczenia maszynowego, rozproszonego przetwarzania danych i metod obliczeniowych. Jest konsultantem, projektantem i autorem książek.
Armando Fandango - ebooki
Tytuły autora: Armando Fandango dostępne w księgarni Helion
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Promocja
Dzięki tej książce zdobędziesz wszystkie potrzebne informacje i umiejętności, aby skutecznie używać Pythona do analizy danych. Omówiono tu niezbędne podstawy statystyki i zasady analizy danych. Wyczerpująco przedstawiono zaawansowane zagadnienia dotyczące przygotowania, przetwarzania i modelowania danych, a także ich wizualizacji. W zrozumiały spos- Druk
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Python i praca z danymi. Przetwarzanie, analiza, modelowanie i wizualizacja. Wydanie III Python i praca z danymi. Przetwarzanie, analiza, modelowanie i wizualizacja. Wydanie III
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This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You’ll also get up to speed with everything from data manipulation to visualization systematically.
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
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This book will show you how to take advantage of TensorFlow’s most appealing features - simplicity, efficiency, and flexibility - in various scenarios. You will gain cutting-edge insights into using TensorFlow’s offerings for your problems and learn practical hacks to successfully implement real-world machine learning projects.
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and so
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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