Python | Программирование
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Python без границ для всех

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📓 Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch. 2022.

• 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. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.

#ENG #PyTorch
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📓 Python for MATLAB Development: Extend MATLAB with 300,000+ Modules from the Python Package Index. 2022.

This book shows how to call Python functions to enhance MATLAB’s capabilities. Specifically, you’ll see how Python helps MATLAB:

• Run faster with numba;
• Distribute work to a compute cluster with dask;
• Find symbolic solutions to integrals, derivatives, and series summations with SymPy;
• Overlay data on maps with Cartopy;
• Solve mixed-integer linear programming problems with PuLP;
• Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo;
• Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini.

#ENG #MATLAB #MongoDB #SQL #Redis #SymPy #Cartopy #YAML
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