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Hands-on deep learning algorithms with Python : master deep learning algorithms with extensive math by implementing them using TensorFlow
by
Ravichandiran, Sudharsan
Year of Publication
2019
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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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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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Applied univariate, bivariate, and multivariate statistics using Python
by
Denis, Daniel J., 1974-
Year of Publication
2021
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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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Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.
by
Liu, Yuxi (Hayden)
Year of Publication
2019
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Learning scientific programming with Python
by
Hill, Christian, 1974-
Year of Publication
2015
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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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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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Recurrent neural networks for prediction : learning algorithms, architectures and stability
by
Mandic, Danilo P.
,
Chambers, Jonathon A.
Year of Publication
2001
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Vydavatelská anotace
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Introduction to GIS programming and fundamentals with Python and ArcGIS
by
Yang, Chaowei
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2017
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Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
by
Mishra, Pradeepta
Year of Publication
2022
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Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch
by
Pajankar, Ashwin
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Joshi, Aditya
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2022
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Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
by
Lanaro, Gabriele
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Nguyen, Quan
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Kasampalis, Sakis
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2019
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Information theory, inference and learning algorithms
by
MacKay, David J. C.
Year of Publication
2003
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Vydavatelská anotace
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Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools
by
Westra, Erik
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2015
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Applied data science using Pyspark : learn the end-to-end predictive model-building cycle
by
Kakarla, Ramcharan
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2021
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An introduction to computational learning theory
by
Kearns, Michael J.
Year of Publication
1994
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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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Functional Python programming : use a functional approach to write succinct, expressive, and efficient Python code
by
Lott, Steven F.
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2022
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