Python Data Analysis - Third Edition: Perform data collection, data processing, wrangling, visualization, and model building using Python, Navlani Avinash, Fandango Armando, Idris Ivan

Автор: Fandango Armando, Idris Ivan
Название: Python Data Analysis - Second Edition: Data manipulation and complex data analysis with Python
ISBN: 1787127486 ISBN-13(EAN): 9781787127487
Издательство: Неизвестно
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Цена: 10114.00 р.
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Описание: 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...

Автор: Jain Ankit, Fandango Armando, Kapoor Amita
Название: Tensorflow Machine Learning Projects
ISBN: 1789132215 ISBN-13(EAN): 9781789132212
Издательство: Неизвестно
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Цена: 7171.00 р.
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Описание: 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.

Автор: Fandango Armando
Название: Mastering TensorFlow
ISBN: 1788292065 ISBN-13(EAN): 9781788292061
Издательство: Неизвестно
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Цена: 7171.00 р.
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Описание: 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

Автор: Bonaccorso Giuseppe, Fandango Armando, Shanmugamani Rajalingappaa
Название: Python: Advanced Guide to Artificial Intelligence
ISBN: 1789957214 ISBN-13(EAN): 9781789957211
Издательство: Неизвестно
Цена: 9194.00 р.
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Описание: 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 ...