Search Results - (((( code python learn algorithm ) OR ( a array 2 algorithm ))) OR ( 4 general python algorithms )) :: K.UTB vyhledávací portál

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The Pythonic Way: An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing, and Management of Enterprise Python Code

by Raj, Sonal
Year of Publication 2021

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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

by Molak, Aleksander
Year of Publication 2023

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Computer Architecture with Python and ARM: Learn How Computers Work, Program Your Own, and Explore Assembly Language on Raspberry Pi

by Clements, Alan
Year of Publication 2023

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Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database

by Inaguma, Daijo, Kitagawa, Akimitsu, Yanagiya, Ryosuke, Koseki, Akira, Iwamori, Toshiya, Kudo, Michiharu, Yuzawa, Yukio
Published in PLoS ONE (17.09.2020)

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Anyone Can Code: The Art and Science of Logical Creativity

by Arya, Ali
Year of Publication 2021

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Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS

by Johnson, Jeanette A. I., Tsang, Ashley P., Mitchell, Jacob T., Zhou, David L., Bowden, Julia, Davis-Marcisak, Emily, Sherman, Thomas, Liefeld, Ted, Loth, Melanie, Goff, Loyal A., Zimmerman, Jacquelyn W., Kinny-Köster, Ben, Jaffee, Elizabeth M., Tamayo, Pablo, Mesirov, Jill P., Reich, Michael, Fertig, Elana J., Stein-O’Brien, Genevieve L.
Published in Nature protocols (01.12.2023)

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TensorFlow Reinforcement Learning Quick Start Guide: Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python

by Balakrishnan, Kaushik
Year of Publication 2019

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Advanced Machine Learning with Python: Solve Challenging Data Science Problems by Mastering Cutting-Edge Machine Learning Techniques in Python

Year of Publication 2016

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MetaPerceptron: A standardized framework for metaheuristic-driven multi-layer perceptron optimization

by Thieu, Nguyen Van, Mirjalili, Seyedali, Garg, Harish, Hoang, Nguyen Thanh
Published in Computer standards and interfaces (01.04.2025)

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Systolic array implementation of Euclid's algorithm for inversion and division in GF(2/sup m/)

by GUO, J.-H, WANG, C.-L
Published in IEEE transactions on computers (01.10.1998)

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PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data

by Georgi, Benjamin, Costa, Ivan Gesteira, Schliep, Alexander
Published in BMC bioinformatics (06.01.2010)

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Performance improvement of dynamic PV array under partial shade conditions using M 2 algorithm

by Manjunath, Matam, Venugopal Reddy, Barry, Lehman, Brad
Published in IET renewable power generation (10.06.2019)

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Python for chemistry : an introduction to python algorithms, simulations, and programing for chemistry

by Kanagasabapathy, M.
Year of Publication 2023

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Genetic algorithms and machine learning for programmers : create AI models and evolve solutions

by Buontempo, Frances
Year of Publication 2019

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Python - An Introduction to Programming (2nd Edition)

by Parker, James R
Year of Publication 2021

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Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2

by Raschka, Sebastian, Mirjalili, Vahid
Year of Publication 2019

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text ^\text \text : An Accurate Array Response Control Algorithm for Pattern Synthesis

by Zhang, Xuejing, He, Zishu, Liao, Bin, Zhang, Xuepan, Cheng, Ziyang, Lu, Yanxi
Published in IEEE transactions on signal processing (01.04.2017)

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Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN

by Kinman, Laurel F., Powell, Barrett M., Zhong, Ellen D., Berger, Bonnie, Davis, Joseph H.
Published in Nature protocols (01.02.2023)

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More efficient systolic arrays for multiplication in GF( 2 m ) using LSB first algorithm with irreducible polynomials and trinomials

by Kwon, Soonhak, Kim, Chang Hoon, Hong, Chun Pyo
Published in Computers & electrical engineering (2009)

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MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics

by Haiman, Zachary B., Zielinski, Daniel C., Koike, Yuko, Yurkovich, James T., Palsson, Bernhard O.
Published in PLoS computational biology (28.01.2021)

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