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Hands-on Machine Learning with Python

Name: Hands-on Machine Learning with Python
Brand: APress
SKU: 9781484279205
Price: 1075 CZK
Availability: InStock

Implement Neural Network Solutions with Scikit-learn and PyTorch

Autor: Ashwin Pajankar, Aditya Joshi

Jazyk:

Vazba: Brožovaná

Vydavatel: APress

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

1 075 Kč

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of ma...

Informace o knize

Autor

Ashwin Pajankar, Aditya Joshi

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2022

Stránek

335

EAN

9781484279205

ISBN

1484279204

Enbook ID

37333825

Vydavatel

APress

Hmotnost

672

Rozměry

253 x 177 x 24

Kompletní popis

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 as the programming languages. 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 theoretical and practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. It further discusses neural network architectures for predicting sequences in form of recurrent neural networks and long short term memory. 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 LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchWho This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.

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Hands-on Machine Learning with Python

Implement Neural Network Solutions with Scikit-learn and PyTorch

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