Kali Linux Web Penetration Testing Cookbook, Second Edition

Gilberto Najera-Gutierrez

Year:2018
Publisher:Packt

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#کتاب #هک #امنیت #کالی‌لینوکس
#Kalilinux #kali #Hacking

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🆔 @Programming4all_0to100

آموزش برنامه نویسی شیء گرا در پایتون
مدرس: مجید خراشادیزاده
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#پایتون #شی‌گرایی

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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham, Garrett Grolemund

Year:2017

Publisher:O’Reilly Media

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

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#علم_داده #زبان‌برنامه‌نویسیR

🆔 @Programming4all_0to100

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

You’ll learn how to:

▪️Wrangle—transform your datasets into a form convenient for analysis

▪️Program—learn powerful R tools for solving data problems with greater clarity and ease

▪️Explore—examine your data, generate hypotheses, and quickly test them

▪️Model—provide a low-dimensional summary that captures true "signals" in your dataset

▪️Communicate—learn R Markdown for integrating prose, code, and results

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فیلمهای آموزش زبان برنامه نویسی R (به زبان فارسی در ۳۷ قسمت) را از این لینک دریافت کنید

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Practical Statistics for Data Scientist

Peter Bruce, Andrew Bruce

Year:2017

Publisher:O’Reilly


Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

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Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

With this book, you’ll learn:

Why exploratory data analysis is a key preliminary step in data science
How random sampling can reduce bias and yield a higher quality dataset, even with big data
How the principles of experimental design yield definitive answers to questions
How to use regression to estimate outcomes and detect anomalies
Key classification techniques for predicting which categories a record belongs to
Statistical machine learning methods that “learn” from data
Unsupervised learning methods for extracting meaning from unlabeled data

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Python for Probability, Statistics, and Machine Learning

José Unpingco

Year:2016
Publisher:Springer

This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations.


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Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.

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Deep Learning with Python

Francois Chollet

Year:2017
Publisher:Manning Publications

📖Summary: Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.

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Deep Learning with Python

▪️Table of Contents
PART 1 - FUNDAMENTALS OF DEEP LEARNING

▫️What is deep learning?
▫️Before we begin: the mathematical ▫️building blocks of neural networks
▫️Getting started with neural networks
▫️Fundamentals of machine learning

▪️PART 2 - DEEP LEARNING IN PRACTICE

▫️Deep learning for computer vision
▫️Deep learning for text and sequences
▫️Advanced deep-learning best practices
▫️Generative deep learning
▫️Conclusions
▫️appendix A - Installing Keras and its dependencies on Ubuntu
▫️appendix B - Running Jupyter notebooks on an EC2 GPU instance

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Build a Web Application with Python, Flask and NLP

Share the joy of famous quotes with a cloud-based web app using natural language processing to hit the right mood!

6,295 students

2hr 8min 
‼️شرکت در دوره رایگان است

لینک ورود به دوره 🔰
https://www.udemy.com/course/build-a-web-application-with-python-flask-and-nlp/?
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📌برای مشاهده ویدیوها ( زبان فارسی )و پیدا کردن کتابهای آموزشی ،هشتگ ها را در کانال دنبال کنید👇
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دوره
Building Movies Site With Python & Django - IMDB Clone
یودمی رایگان شد !!

▪️Learn to build websites like IMDB with Python3 & Django Class Based Views

‼️ فرصت ثبت نام رایگان : 17 ساعت
🔰 لینک ورود به دوره:

https://www.udemy.com/course/building-movies-site-with-python-django-imdb-clone/?couponCode=239F7A1C1F05527CA79A

➕ اعطای گواهینامه پایان دوره

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📌برای مشاهده ویدیوها ( زبان فارسی )و پیدا کردن کتابهای آموزشی ،هشتگ ها را در کانال دنبال کنید👇
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دوره
Build Hotel Site With Python & Django
یودمی رایگان شد !!

▪️Build A Hotel Site With Python & Django [Rooms - Book Room - Search Rooms - About - Contact

‼️ فرصت ثبت نام رایگان : 17 ساعت
🔰 لینک ورود به دوره:
https://www.udemy.com/course/build-hotel-system-with-python-django/?couponCode=EF1CB9418337A1B6F9EE

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📌برای مشاهده ویدیوها ( زبان فارسی )و پیدا کردن کتابهای آموزشی ،هشتگ ها را در کانال دنبال کنید👇
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Hands-On Penetration Testing with Python Enhance your ethical hacking skills to build automated and intelligent systems

Furqan Khan

Year:2019

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Hands-On Penetration Testing with Python Enhance your ethical hacking skills to build automated and intelligent systems

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دوره
Python Bootcamp 2020 Build 15 working Applications and Games

یودمی رایگان شد !!

▪️Learn complete python with basics, data science, data visualisation, desktop graphical applications and python for web

‼️ فرصت ثبت نام رایگان : 2 روز
🔰 لینک ورود به دوره:

https://www.udemy.com/course/python-complete-bootcamp-2019-learn-by-applying-knowledge/?couponCode=838F8BD81375CBCC0DA5
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📌برای مشاهده ویدیوها ( زبان فارسی )و پیدا کردن کتابهای آموزشی ،هشتگ ها را در کانال دنبال کنید👇
#پایتون #udemy_course

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📍آموزش یادگیری ماشین با پایتون
منبع : تیم یادگیری ماشین ایران
مدرس سهیل تهرانی پور
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#پایتون #یادگیری_ماشین
🆔 @Max_Academy

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Author(s): Himanshu Singh
Publisher: Apress, Year: 2019


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#یادگیری_ماشین #پردازش_تصویر #کتاب

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Description:
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools.
All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.

▪️What You Will Learn:

Discover image-processing algorithms and their applications using Python

Explore image processing using the OpenCV library

Use TensorFlow, scikit-learn, NumPy, and other libraries

Work with machine learning and deep learning algorithms for image processing

Apply image-processing techniques to five real-time projects


▪️Who This Book Is For:

Data scientists and software developers interested in image processing and computer vision.


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‼️فیلمهای آموزش پردازش تصویر با پایتون را از این لینک دریافت کنید

#یادگیری_ماشین #پردازش_تصویر #کتاب

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Cyber Operations: Building, Defending, and Attacking Modern Computer Networks

Mike O’Leary
Year:2019
Publisher:Apress

📖 Know how to set up, defend, and attack computer networks with this revised and expanded second edition.
You will learn to configure your network from the ground up, beginning with developing your own private virtual test environment, then setting up your own DNS server and AD infrastructure. You will continue with more advanced network services, web servers, and database servers and you will end by building your own web applications servers, including WordPress and Joomla

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‼️ آموزش افزایش امنیت وب سایت با بررسی 10 نقص امنیتی از نظر OWASP را از این لینک ببینید

‼️برای مشاهده فیلمها و کتابهای آموزشی بیشتر هشتگ ها را در کانال دنبال کنید👇
#امنیت #هک #کالی‌لینوکس

🆔 @Programming4all_0to100