Search Results - (((( code python python algorithm ) OR ( _ neural _ algorithm ))) OR ( a five bayes algorithm )) :: K.UTB vyhledávací portál

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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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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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Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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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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Python machine learning

by Lee, Wei-Meng
Year of Publication 2019

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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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Neural Network Fundamentals with Graphs, Algorithms, and Applications : Electrical and Computer Engineering Series

by Bose, N. K., Liang, P.
Year of Publication 1996

Book

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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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Deep Learning for Beginners

by Rivas, Dr. Pablo
Year of Publication 2020

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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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Introduction to GIS programming and fundamentals with Python and ArcGIS

by Yang, Chaowei
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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Machine Learning with Spark and Python, 2nd Edition

by Bowles, Michael
Year of Publication 2019

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Practical Machine Learning for Data Analysis Using Python

Year of Publication 2020

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Neural network synthesis doctoral thesis

by Vařacha, Pavel
Year of Publication 2011

Book

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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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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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An introduction to computational learning theory

by Kearns, Michael J.
Year of Publication 1994

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