Machine Learning With Pytorch And Scikit Learn

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (repost)  eBooks & eLearning

Posted by hill0 at Aug. 12, 2022
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (repost)

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
English | 2022 | ISBN: 1801819319 | 770 Pages | PDF EPUB (True) | 79 MB
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Machine Learning with PyTorch [Sneak Peek]  eBooks & eLearning

Posted by IrGens at Oct. 24, 2019
Machine Learning with PyTorch [Sneak Peek]

Machine Learning with PyTorch [Sneak Peek]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6+ Hours | 12.59 GB
Instructor: David Mertz
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Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn (repost)  eBooks & eLearning

Posted by hill0 at Aug. 20, 2023
Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn (repost)

Python Machine Learning By Example - Third Edition:
Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
by Yuxi (Hayden) Liu
English | 2020 | ISBN: 9781800209718 | 527 Pages | PDF True | 12 MB
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Deep Learning with PyTorch, Second Edition (MEAP V03)  eBooks & eLearning

Posted by Free butterfly at Aug. 7, 2024
Deep Learning with PyTorch, Second Edition (MEAP V03)

Deep Learning with PyTorch, Second Edition (MEAP V03)
English | 2024 | ISBN: 9781633438859 | 273 pages | MOBI | 3.21 Mb
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Machine Learning with Python Made Easy  eBooks & eLearning

Posted by TiranaDok at Oct. 23, 2024
Machine Learning with Python Made Easy

Machine Learning with Python Made Easy: A Step-by-Step Beginners Guide for Mastering Machine Learning With Python Fast in 2024! by David Ferguson
English | July 12, 2024 | ISBN: N/A | ASIN: B0D9CLSZQH | 202 pages | EPUB | 0.25 Mb
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Intermediate Machine Learning  eBooks & eLearning

Posted by ELK1nG at Nov. 21, 2024
Intermediate Machine Learning

Intermediate Machine Learning
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.64 GB | Duration: 14h 24m

Understanding, designing and implementing machine learning solutions for basic to intermediate problems.
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Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python  eBooks & eLearning

Posted by TiranaDok at Jan. 12, 2024
Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python

Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python by Hayden Van Der Post
English | December 2, 2023 | ISBN: N/A | ASIN: B0CPCMP9KD | 463 pages | EPUB | 0.74 Mb
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Python Machine Learning By Example, 3rd Edition [Repost]  eBooks & eLearning

Posted by IrGens at June 29, 2022
Python Machine Learning By Example, 3rd Edition [Repost]

Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition by Yuxi (Hayden) Liu
English | October 30, 2020 | ISBN: 1800209711 | True EPUB | 526 pages | 12 MB
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Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch  eBooks & eLearning

Posted by roxul at Oct. 10, 2019
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

Sridhar Alla, "Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch"
English | ISBN: 1484251768 | 2019 | 416 pages | EPUB, PDF | 42 MB + 27 MB
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Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch  eBooks & eLearning

Posted by AvaxGenius at Nov. 6, 2019
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch by Sridhar Alla
English | EPUB | 2019 | 427 Pages | ISBN : 1484251768 | 42.07 MB

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.
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