Suchergebnisse - Practical machine learning for data analysis using python

[1]
Vorheriger
10
11
12
13
14
15
16
17
18
19
20
Nächster
[182]

281

Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Labonne, Maxime (Verfasser)

Birmingham, UK : Packt Publishing Ltd., 2023

E-Book

282

Python for Finance Cookbook : Over 80 powerful recipes for effective financial data analysis

Lewinson, Eryk (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2022

E-Book

283

Text as data : a new framework for machine learning and the social sciences

Grimmer, Justin (Verfasser)

Princeton ; Oxford : Princeton University Press, [2022]

Buch

284

Hands-On Exploratory Data Analysis with Python : Perform EDA techniques to understand, summarize, and investigate your data

Mukhiya, Suresh Kumar (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

285

Hands-On Transfer Learning with Python

Sarkar, Dipanjan (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2018

E-Book

286

Practical AI for Healthcare Professionals : Machine Learning with Numpy, Scikit-learn, and TensorFlow

Suri, Abhinav (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2021

E-Book

287

Recommender systems with machine learning

[First edition]

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

Film

288

Machine Learning for OpenCV

Beyeler, Michael (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

289

Applied Unsupervised Learning with Python : Discover hidden patterns and relationships in unstructured data with Python

Johnston, Benjamin (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

290

Hands-On Unsupervised Learning with Python

Bonaccorso, Giuseppe (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

291

Python Data Cleaning Cookbook : Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Walker, Michael (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

292

Machine learning : a probabilistic perspective

Murphy, Kevin P. (Verfasser)

Cambridge, Mass. : MIT Press, 2012

Buch

293

Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning

Smith, Taylor (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

294

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Labonne, Maxime (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

295

Machine Learning for OpenCV

Beyeler, Michael (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2017

E-Book

296

Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn

Holt, Samuel (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

Film

297

Python for finance cookbook : over 60 powerful recipes for effective financial data analysis

Lewinson, Eryk (Verfasser)

Second edition

Birmingham : Packt Publishing, 2022

E-Book

298

Hands-On Data Analysis with NumPy and pandas : Implement Python packages from data manipulation to processing

Miller, Curtis (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

299

Numerical Python : : A Practical Techniques Approach for Industry

Johansson, Robert (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2015

E-Book

300

Debugging Machine Learning Models with Python : Develop high-performance, low-bias, and explainable machine learning and deep learning models

Madani, Ali (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

[1]
Vorheriger
10
11
12
13
14
15
16
17
18
19
20
Nächster
[182]

Treffer 281 - 300 von 3.623

Seite in der Trefferliste auswählen

Seite in der Trefferliste auswählen

Suche einschränken