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Books like Neural networks and machine learning by Christopher M. Bishop


First publish date: 1998
Genre: Technology & Computing/Artificial Intelligence
Authors: Christopher M. Bishop
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Neural networks and machine learning by Christopher M. Bishop

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Books similar to Neural networks and machine learning (12 similar books)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by 8245430|Aurélien Géron book cover

📘 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
 by Aurélien Géron

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow teaches practitioners to build intelligent systems with Python, covering core machine learning, deep learning, and TensorFlow 2 tools.

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The Elements of Statistical Learning by 12158869|Trevor Hastie book cover

📘 The Elements of Statistical Learning
 by Trevor Hastie

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

★★★★★★★★★★ 4.3 (3 ratings)
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Deep Learning by 11775475|Ian Goodfellow book cover

📘 Deep Learning
 by Ian Goodfellow

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

★★★★★★★★★★ 3.7 (3 ratings)
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Pattern Recognition and Machine Learning (Information Science and Statistics) by 8824929|Christopher M. Bishop book cover

📘 Pattern Recognition and Machine Learning (Information Science and Statistics)
 by Christopher M. Bishop


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Deep Learning with Python by 11846629|Francois Chollet book cover

📘 Deep Learning with Python
 by Francois Chollet


★★★★★★★★★★ 3.0 (1 rating)
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Neural networks for pattern recognition by 8824929|Christopher M. Bishop book cover

📘 Neural networks for pattern recognition
 by Christopher M. Bishop


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Books like Neural networks for pattern recognition
Pattern classification by 6900553|Richard O. Duda book cover

📘 Pattern classification
 by Richard O. Duda

A practical guide for professionals and researchers to select and apply the most suitable pattern recognition techniques across domains like speech, OCR, and image processing.

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Learning From Data by 11905788|Yaser S. Abu-Mostafa book cover

📘 Learning From Data
 by Yaser S. Abu-Mostafa


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Pattern Recognition and Machine Learning by 8824929|Christopher M. Bishop book cover

📘 Pattern Recognition and Machine Learning
 by Christopher M. Bishop


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Bioinformatics by 8328148|Pierre Baldi book cover

📘 Bioinformatics
 by Pierre Baldi

Pierre Baldi and Soren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed at two types of researchers and students. First are the biologists and biochemists who need to understand new data-driven algorithms, such as neural networks and hidden Markov models, in the context of biological sequences and their molecular structure and function. Second are those with a primary background in physics, mathematics, statistics, or computer science who need to know more about specific applications in molecular biology.

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Neural Networks by 3285357|Manav Surya book cover

📘 Neural Networks
 by Manav Surya


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Deep Learning by 8824929|Christopher M. Bishop book cover

📘 Deep Learning
 by Christopher M. Bishop


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Some Other Similar Books

Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Artificial Neural Networks: A Practical Guide by Kevin Gurney
Deep Learning with Python by François Chollet

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