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Artificial intelligence with python cookbook : proven recipes for applying ai algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

by Auffarth, Ben
Year of Publication 2020

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Electronic eBook

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Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch

by Pajankar, Ashwin, Joshi, Aditya
Year of Publication 2022

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Machine learning algorithms : reference guide for popular algorithms for data science and machine learning

by Bonaccorso, Giuseppe
Year of Publication 2017

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Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

by Lanaro, Gabriele, Nguyen, Quan, Kasampalis, Sakis
Year of Publication 2019

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Functional Python programming : use a functional approach to write succinct, expressive, and efficient Python code

by Lott, Steven F.
Year of Publication 2022

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HANDS-ON SIMULATION MODELING WITH PYTHON - develop simulation models to help you get... accurate results and enhance the decision-making p.

by CIABURRO, GIUSEPPE
Year of Publication 2022

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Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools

by Westra, Erik
Year of Publication 2015

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Electronic eBook

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QGIS Python programming cookbook : master over 170 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

by Lawhead, Joel
Year of Publication 2017

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Learning GeoSpatial analysis with Python : an effective guide to geographic information system and remote sensing analysis using Python 3

by Lawhead, Joel
Year of Publication 2015

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Recurrent neural networks for prediction : learning algorithms, architectures and stability

by Mandic, Danilo P., Chambers, Jonathon A.
Year of Publication 2001

Obsah
Vydavatelská anotace

Book

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Deep Learning for Beginners

by Rivas, Dr. Pablo
Year of Publication 2020

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Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark

by Kane, Frank
Year of Publication 2017

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Applied univariate, bivariate, and multivariate statistics using Python

by Denis, Daniel J., 1974-
Year of Publication 2021

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Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work

by Bonaccorso, Giuseppe
Year of Publication 2020

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The Data Science Workshop

by So, Anthony (Data scientist), Joseph, Thomas, John, Robert, Worsley, Andrew, Asare, Samuel
Year of Publication 2020

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Foundations of Blockchain : the pathway to cryptocurrencies and decentralized blockchain applications

by Raj, Koshik
Year of Publication 2019

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Information theory, inference and learning algorithms

by MacKay, David J. C.
Year of Publication 2003

Obsah
Vydavatelská anotace

Book

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An introduction to computational learning theory

by Kearns, Michael J.
Year of Publication 1994

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eBook

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Applied data science using Pyspark : learn the end-to-end predictive model-building cycle

by Kakarla, Ramcharan
Year of Publication 2021

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Automatic generation of neural network architecture using evolutionary computation

by Vonk, E., Jain, L. C., 1946-, Johnson, R. P.
Year of Publication 1997

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