کتابخانه مهندسی کامپیوتر و پایتون
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Machine learning with Python @Max_Academy.pdf
12.4 MB
📘Machine Learning with scikit-learn and Scientific Python Toolkits

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Tiny Python Projects
Author(s): Ken Youens-Clark
Publisher: Manning Publications
Year: 2020


Description:
Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists and strings right through to regular expressions and randomness.

What's inside
• Write command-line Python programs
• Manipulate Python data structures
• Use and control randomness
• Write and run tests for programs and functions
• Download testing suites for each project

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#پایتون

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Tiny Python Projects @Max_Academy.pdf
15.3 MB
📘Tiny Python Projects
Year: 2020

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#پایتون

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💢 ساخت منو کشویی متفاوت در اندروید
مدرس: رضا پور
منبع: تاپ لرن

🔹 آنچه که در این آموزش قرار هست به شما نشان دهیم تازگی بیشتری در بین اپلیکیشن ها دارد.
معمولا از منو کشویی برای قرار دادن آیتم های زیادی که باید در دسترس تر باشند استفاده میشود . اگر شما هم میخواهید اپلیکیشن های خود را به شکل زیباتری طراحی کنید این آموزش را از دست ندهید.

فهرست جلسات:

جلسه ۱: معرفی دوره
جلسه ۲: نحوه اضافه کردن کتابخانه به پروژه
جلسه۳ : ایجاد و تست منو کشویی
جلسه ۴: رفع چند باگ

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Practical Data Science With R

︎Author(s): Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas
Publisher: Manning Publications, Year: 2020

📖Description:
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. Source Code available here: https://www.manning.com/downloads/2043

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Practical data Science with R @Max_Academy.pdf
24.2 MB
📘Practical data Science with R

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Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. Code



Author(s): Bernico, Mike
Publisher: Packt Publishing, Year: 2018

Description:
"Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book, deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It moves deep learning from academia to the real world through practical examples. You will learn how Tensor Board is used to monitor the training of deep neural networks and solve binary  

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Deep learning quick reference _ useful hacks .zip
55.4 MB
📘 Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

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Internet of Things and Data Analytics Handbook


Author(s): Hwaiyu Geng
Publisher: Wiley, Year: 2016
Description:
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.


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Internet of Things and Data Analytics @Max_Academy .pdf
14.3 MB
📘Internet of Things and Data Analytics Handbook


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Applied Text Analysis With Python

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#پایتون #علم_داده

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Applied_Text_Analysis_with_Python_Enabling_Language_Aware_Data_Products.pdf
14 MB
📘Applied Text Analysis With Python

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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras


Author(s): Navin Kumar Manaswi
Publisher: Apress, Year: 2018

Who This Book Is For
Data scientists and developers who want to adapt and build deep learning applications.
︎What You Will Learn:
Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.

👉Use face recognition and face detection capabilities

👉Create speech-to-text and text-to-speech funct

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Deep Learning with Tensorflow and Keras @Max_Academy.pdf
11.3 MB
📖Description:
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications.Deep Learning with Applications Using Pythoncovers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.
This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.

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Web Scraping with Python


Author(s): Richard Lawson
Publisher: Packt Publishing, Year: 2015

Description:
Successfully scrape data from any website with the power of Python
About This Book

A hands-on guide to web scraping with real-life problems and solutions
Techniques to download and extract data from complex websites
Create a number of different web scrapers to extract information

🎥ویدیوی آموزشی(به زبان فارسی) وب اسکرپینگ را از لینک زیر ببینید
https://t.iss.one/max_academy/15095


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Richard_Lawson_Web_Scraping_with_Python_Packt_Publishing_2015.pdf
5.2 MB
Web Scraping with Python

▪️Who This Book Is For

This book is aimed at developers who want to use web scraping for legitimate purposes. Prior programming experience with Python would be useful but not essential. Anyone with general knowledge of programming languages should be able to pick up the book and understand the principals involved.

▪️What You Will Learn

Extract data from web pages with simple Python programming
Build a threaded crawler to process web pages in parallel
Follow links to crawl a website
Download cache to reduce bandwidth
Use multiple threads and processes to scrape faster
Learn how to parse JavaScript-dependent websites
Interact with forms and sessions
Solve CAPTCHAs on protected web pages
Discover how to track the state of a crawl



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📘The Applied AI and Natural Language Processing Workshop: Explore practical ways to transform your simple projects into powerful intelligent applications



Author(s): Krishna Sankar, Jeffrey Jackovich, Ruze Richards
Publisher: Packt Publishing, Year: 2020

Description:
With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time

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Ai and natural language @Max_Academy .pdf
34.9 MB
▪️What you will learn

Grasp the fundamentals of AI, ML, and AWS

Explore the AWS command line, its interface, and its applications

Import and export data to Amazon S3

Perform topic modeling on a set of documents to analyze common themes

Develop a custom chatbot to get the latest stock market quotes

Create a personal call center and connect it to the chatbot

▪️Who this book is for

If you are a machine learning enthusiast, data scientist, or programmer who wants to explore AWS's artificial intelligence and machine learning capabilities, this book is for you. Although not necessary, a basic understanding of AI and NLP will assist with grasping key topics quickly



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Practical Natural Language Processing: A Comprehensive Guide to Building Real-world Nlp Systems


Author(s): Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana
Publisher: Oreilly & Associates Inc, Year: 2020

Description:

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.
Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You&;ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.


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