Suchergebnisse - Interpretable Machine Learning with Python

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921

Python data cleaning cookbook : prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn and OpenAI

Walker, Michael (Verfasser)

Second edition

Birmingham, UK : Packt Publishing Ltd., 2024

E-Book

922

Transformers for natural language processing : build, train, and fine-tuning deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3

Rothman, Denis (Verfasser)

Second edition

[Birmingham, United Kingdom] : Packt Publishing, 2022

E-Book

923

Learning Spark, 2nd Edition

Damji, Jules (Verfasser)

2nd edition

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

E-Book

924

Deep Learning Cookbook

Osinga, Douwe (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2018

E-Book

925

Learning Spark SQL

Sarkar, Aurobindo (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2017

E-Book

926

Learning Spark SQL

Sarkar, Aurobindo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

927

Advances in Artificial Intelligence and Machine Learning in Big Data Processing : First International Conference, AAIMB 2023, Chennai, India, August 17–18, 2023, Proceedings, Part-II

Geetha, R (Herausgeber)

1st ed. 2025

Cham : Springer Nature Switzerland, 2025

E-Book

928

Responsible AI in the Enterprise : Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

Masood, Adnan (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

929

Hands-On Python Natural Language Processing : Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

Kedia, Aman (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

930

Deep Learning with TensorFlow, Keras, and PyTorch

Krohn, Jon (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional, 2020

Film

931

Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python

Hany, John (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

932

Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn

Nokeri, Tshepo (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2021

E-Book

933

Generative Adversarial Networks Cookbook : Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Kalin, Josh (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

934

Practical Explainable AI Using Python : Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Mishra, Pradeepta (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2021

E-Book

935

Deep Learning with TensorFlow 2 and Keras - Second Edition

Gulli, Antonio (Verfasser)

2nd edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

936

Advanced Deep Learning with Keras : Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Atienza, Rowel (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

937

The Reinforcement Learning Workshop

Palmas, Alessandro (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

938

Neural networks with TensorFlow and Keras : training, generative models, and reinforcement learning

Hua, Philip (Verfasser)

[Berkeley, CA] : Apress, 2024

E-Book

939

The Deep Learning Workshop

Baig, Mirza (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

940

Essential Statistics for Non-STEM Data Analysts : Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Li, Rongpeng (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

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