Suchergebnisse - Supervised Machine Learning with Python

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901

Natural Language Processing with Python Quick Start Guide : Going from a Python developer to an effective Natural Language Processing Engineer

Kasliwal, Nirant (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

902

OpenCV 3 Computer Vision with Python Cookbook : Leverage the power of OpenCV 3 and Python to build computer vision applications

Spizhevoy, Alexey (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

903

OpenCV 3.x with Python By Example - Second Edition : Make the most of OpenCV and Python to build applications for object recognition and augmented reality

Garrido, Gabriel (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

904

Python for Finance Cookbook : Over 50 recipes for applying modern Python libraries to financial data analysis

Lewinson, Eryk (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

905

Financial Modeling Using Quantum Computing : Design and manage quantum machine learning solutions for financial analysis and decision making

Saxena, Anshul (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

906

FINANCIAL MODELING USING QUANTUM COMPUTING : design and manage quantum machine learning solutions for financial analysis and decision making

1st edition

[S.l.] : PACKT PUBLISHING LIMITED, 2023

E-Book

907

Statistical Application Development with R and Python - Second Edition

Tattar, Prabhanjan Narayanachar (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

908

Statistical Application Development with R and Python - Second Edition

Tattar, Prabhanjan (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2017

E-Book

909

Data Science with Python and R (Anaconda Video Series)

Stokes-Rees, Ian (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional, 2017

Film

910

Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

Scheiner, Bernhard (Verfasser)

Freiburg : Universität, 2025

E-Book

911

Representation Learning : Propositionalization and Embeddings

Lavrač, Nada (Verfasser)

1st ed. 2021

Cham : Springer International Publishing, 2021

E-Book

912

Machine Learning in Production: : Developing and Optimizing Data Science Workflows and Applications, First Edition

Kelleher, Andrew (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional, 2019

E-Book

913

DEEP LEARNING FOR TIME SERIES COOKBOOK : use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Cerqueira, Vitor (Verfasser)

1st edition

Birmingham, UK : Packt Publishing Ltd., 2024

E-Book

914

Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Cerqueira, Vitor (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

915

Interactive language instructable robot learning

Mees, Oier (Verfasser)

Freiburg : Universität, 2023

E-Book

916

Mastering Python for Finance - Second Edition

Weiming, James (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

917

Linear Algebra for Data Science in Python

Careers, 365 (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

Film

918

Classic Computer Science Problems in Python Video Edition

Kopec, David (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2019

Film

919

A machine-learned analysis suggests non-redundant diagnostic information in olfactory subtests

Lötsch, Jörn (Verfasser)

IBRO reports. - Amsterdam : Elsevier, [2016-2020]. - Online-Ressource. - ISSN 2451-8301. - Band 6 (2019), Seite 64-73

E-Artikel

920

Deep Learning with PyTorch

Saha, Anand (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2018

Film

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