Hands-on Machine Learning with Python Implement Neural Network Solutions with Scikit-learn and PyTorch
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Sprache:Englisch
57,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
06.03.2022
Abbildungen
XX, 335 p. 154 illus.
Verlag
ApressSeitenzahl
335
Maße (L/B/H)
25,4/17,8/2 cm
Gewicht
670 g
Auflage
1st ed.
Sprache
Englisch
ISBN
978-1-4842-7920-5
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.
The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoreticaland practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.
After completing
Hands-on Machine Learning with Python
, you will be able to implement machine learning and neural network solutions and extend them to your advantage.
What You'll Learn
- Review data structures in NumPy and Pandas
- Demonstrate machine learning techniques and algorithm
- Understand supervised learning and unsupervised learning
- Examine convolutional neural networks and Recurrent neural networks
- Get acquainted with scikit-learn and PyTorch
Predict sequences in recurrent neural networks and long short term memory
Who This Book Is For
Data scientists, machine learning engineers, and software professionals with basic skills in Python programming.
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