Suchergebnisse - Supervised Machine Learning with Python

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981

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

982

Deep Learning with R in Motion

Scavetta, Rick (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Manning Publications, 2019

Film

983

Solitonic Neural Networks : An Innovative Photonic Neural Network Based on Solitonic Interconnections

Bile, Alessandro (Verfasser)

1st ed. 2024

Cham : Springer Nature Switzerland, 2024

E-Book

984

Python for DevOps 2023 : GitHub Codespaces CI/CD microservice pipeline deployed to AWS App Runner and GCP Cloud Run.

Gift, Noah (Präsentator)

[First edition]

[Place of publication not identified] : Pragmatic AI Solutions, 2022

Film

985

Python Deep Learning : understand how deep neural networks work and apply them to real-world tasks

Vasilev, Ivan (Verfasser)

3rd edition

Birmingham : Packt Publishing, 2023

E-Book

986

Python Deep Learning : Understand how deep neural networks work and apply them to real-world tasks

Vasilev, Ivan (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

987

Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis

Lee, John (Verfasser)

2nd ed. 2022

Cham : Springer International Publishing, 2022

E-Book

988

The essential machine learning foundations : math, probability, statistics, and computer science (Video Collection).

Krohn, Jon (Präsentator)

[First edition]

[Place of publication not identified] : Addison-Wesley Professional, 2022

Film

989

Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists

Simon, Julien (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

990

Hands-On Data Analysis with Pandas : Efficiently perform data collection, wrangling, analysis, and visualization using Python

Molin, Stefanie (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

991

Information theory, inference, and learning algorithms

MacKay, David J. C. (Verfasser)

22nd printing

Cambridge : Cambridge University Press, 2019

Buch

992

GOOGLE MACHINE LEARNING AND GENERATIVE AI FOR SOLUTIONS ARCHITECTS : build efficient and scalable AI/ML solutions on Google Cloud

Kavanagh, Kieran (Verfasser)

1st edition

Birmingham, UK : Packt Publishing Ltd., 2024

E-Book

993

Google Machine Learning and Generative AI for Solutions Architects : Build efficient and scalable AI/ML solutions on Google Cloud

Kavanagh, Kieran (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

994

Deep learning. Convolutional neural networks with TensorFlow

[First edition]

[Place of publication not identified] : Packt Publishing, 2023

Film

995

Deep learning. Recurrent neural networks with TensorFlow

[Place of publication not identified] : Packt Publishing, 2023

Film

996

Mastering PyTorch : Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond

Jha, Ashish Ranjan (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

997

Deep Learning with PyTorch Quick Start Guide

Julian, David (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2018

E-Book

998

The Machine Learning Solutions Architect Handbook : Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

Ping, David (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

999

A Practical Guide to Quantum Machine Learning and Quantum Optimization : Hands-On Approach to Modern Quantum Algorithms

Combarro, Elías F. (Verfasser)

1st edition

Birmingham : Packt Publishing, Limited, 2023

E-Book

1000

A Practical Guide to Quantum Machine Learning and Quantum Optimization : Hands-on Approach to Modern Quantum Algorithms

Meglio, Alberto Di (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

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