کتابخانه مهندسی کامپیوتر و پایتون
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📘Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

Author(s): Delip Rao, Brian McMahan

Publisher: O’Reilly Media, Year: 2019

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#پایتون #پردازش_زبان_طبیعی #NLP #یادگیری_عمیق

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Delip_Rao,_Brian_McMahan_Natural_Language_Processing_with_PyTorch.pdf
16.1 MB
📘Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

▪️Description:
From the Preface
This book aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP with an emphasis on implementation, this book occupies an important middle ground. While writing the book, we had to make difficult, and sometimes uncomfortable, choices on what material to leave out. For a beginner reader, we hope the book will provide a strong foundation in the basics and a glimpse of what is possible. Machine learning, and deep learning in particular, is an experiential discipline, as opposed to an intellectual science. The generous end-to-end code examples in each chapter invite you to partake in that experience.


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3_1_William_S_Vincent_Django_for_APIs_Build_web_APIs_with_Python.pdf
5.4 MB
📘Django for APIs

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#پایتون #Django

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🌟با دوره پادشاه تری دی مکس ( #3dmax ) پرتقال توی این نرم افزار بزرگ پادشاهی کنید

💥%95 تخفیف | دوره آموزش 3dmax
قیمت: 21,500 تومان | 430,000 تومان


پادشاه 3Ds Max یک رو با 95% تخفیف از این لینک خریداری کنید
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https://b2n.ir/t88385



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Image Operators Image Processing in Python

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📘A Python Data Analyst’s Toolkit_ Learn Python And Python-based Libraries

Author(s): Gayathri Rajagopalan
Publisher: Apress, Year: 2021

Description:
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis.

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#پایتون #علم_داده

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Gayathri_Rajagopalan_A_Python_Data_Analyst’s_Toolkit_Learn_Python.pdf
7.9 MB
A Python Data Analyst’s Toolkit_ Learn Python And Python-based Libraries With Applications In Data Analysis And Statistics

▪️What You'll Learn:
• Further your programming and analytical skills with Python
• Solve mathematical problems in calculus, and set theory and algebra with Python
• Work with various libraries in Python to structure, analyze, and visualize data
• Tackle real-life case studies using Python
• Review essential statistical concepts and use the Scipy library to solve problems in statistics

▪️Who This Book Is For: Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.

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Machine Learning for Time Series Forecasting with Python (2020)

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Francesca_Lazzeri_Machine_Learning_for_Time_Series_Forecasting_with.pdf
3 MB
Machine Learning for Time Series Forecasting with Python (2020)

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📘Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book

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Artificial_Intelligence,_IOT_and_machine_Learning_AI_programs_using.pdf
9.9 MB
Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book

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#پایتون #هوش_مصنوعی #اینترنت_اشیا

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📘Scientific Computing with Python 3

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#پایتون

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📘Deep Learning with PyTorch Quick Start Guide


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Deep-Learning-with-PyTorch-Quick-Start-Guide.pdf
6.4 MB
Deep Learning with PyTorch Quick Start Guide

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AI_for_Data_Science_Artificial_Intelligence_Frameworks_and_Functionality.pdf
1.9 MB
AI for Data Science


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