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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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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 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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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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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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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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Deep learning with Python : learn best practices of deep learning models with PyTorch
by
Ketkar, Nikhil
,
Moolayil, Jojo
Year of Publication
2021
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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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Machine Learning with Spark and Python, 2nd Edition
by
Bowles, Michael
Year of Publication
2019
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Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
by
Ciaburro, Giuseppe
,
Joshi, Prateek
Year of Publication
2019
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Data science and analytics with Python
by
Rogel-Salazar, Jesus
Year of Publication
2017
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Learning scientific programming with Python
by
Hill, Christian, 1974-
Year of Publication
2015
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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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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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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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Obsah
Vydavatelská anotace
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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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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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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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Vizuální vývojové prostředí pro neuronové sítě a jejich aplikace
by
Zelinka, Martin
Thesis supervisor
Král, Erik
Year of defence
2011
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