Машинное обучение / ИИ Бибилиотека
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Книги по машинному обучению
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The Elements of Differentiable Programming

📚 Read

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Think Stats
Exploratory Data Analysis in Python


📖 book

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👍2
Data Science Concepts and Practice Second Edition

📖 book

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👍1
Supervised Machine Learning for Text Analysis in R

📖 Book

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Data Management for Analytics and Applications

📚 Book

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People cannot distinguish GPT-4 from a human in a Turing test

📚 Book

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Linux Fundamentals
Paul Cobbaut


📚 Book
Deep Learning Tuning Playbook

For systematically maximizing the performance of deep learning models, really a very comprehensive guide is Google's tuning playbook

📚 Book
Deep Learning withPyTorch

📚 Book
👍1
Stochastic Simulation and Monte Carlo Methods

Book
👍1
📚 Секреты Python Pro

Автор: Дейн Хиллард