Suchergebnisse - Supervised Machine Learning with Python

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881

Principles of Data Science : A beginner's guide to essential math and coding skills for data fluency and machine learning

Ozdemir, Sinan (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

882

The Applied Artificial Intelligence Workshop : Start working with AI today, to build games, design decision trees, and train your own machine learning models

So, Anthony (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

883

Learning Ray

Pumperla, Max (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2023

E-Book

884

Python Data Science Handbook, 2nd Edition

VanderPlas, Jake (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2022

E-Book

885

Automatic Differentiation in Python and PyTorch

Osipov, Carl (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2020

Film

886

Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing

Wade, Ryan (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2020

E-Book

887

Deep Learning with fastai Cookbook

Ryan, Mark (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2021

E-Book

888

Practical Data Science with Python 3 : Synthesizing Actionable Insights from Data

Varga, Ervin (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2019

E-Book

889

Secure Because Math? Challenges on Applying Machine Learning to Security

Pinto, Alex (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2015

Film

890

AI for Healthcare with Keras and Tensorflow 2.0 : Design, Develop, and Deploy Machine Learning Models Using Healthcare Data

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2021

E-Book

891

Mastering Python for Finance : Implement advanced state-of-the-art financial statistical applications using Python

Ma, James Weiming (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

892

Getting Started with Python for the Internet of Things : Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

Cox, Tim (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

893

Deploy Machine Learning Models to Production : With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Singh, Pramod (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2020

E-Book

894

Advanced Platform Development with Kubernetes : Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

Johnston, Craig (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2020

E-Book

895

Data Science for Marketing Analytics : A practical guide to forming a killer marketing strategy through data analysis with Python

Baig, Mirza Rahim (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2021

E-Book

896

Machine learning analysis predicts a person’s sex based on mechanical but not thermal pain thresholds

Lötsch, Jörn (Verfasser)

Scientific Reports. - London : Macmillan Publishers Limited, 05.05.2023. - 10.1038/s41598-023-33337-2. - ISSN 2045-2322. - Jahrgang 13, Artikel 7332

E-Book

897

High Performance Python, 2nd Edition

Gorelick, Micha (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2020

E-Book

898

Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python

Ansari, Shamshad (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2020

E-Book

899

Deep learning with TensorFlow and Keras

Kapoor, Amita (Verfasser)

Third edition

Birmingham, UK : Packt Publishing Ltd., 2022

E-Book

900

Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects

Loy, James (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

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