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Hacking on Medium
HACK MY SCHOOL
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Introduction
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@Hacking_Video
HACK MY SCHOOL
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Introduction
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@hacking_Attack
@Hacking_Video
Medium
HACK MY SCHOOL
Introduction
Hacking Articles Tips Tricks Videos Tutorials
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Hacking on Medium
Colonial Pipeline…Not So Fast…
https://cdn-images-1.medium.com/max/992/1*fDKsqr_bDvhALOu4IUjkRg.jpeg
On May 7th, 2021 Colonial Pipeline suffered a ransomware attack. Unable to access or trust its data network, the company that transports…
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@hacking_Attack
@Hacking_Video
Colonial Pipeline…Not So Fast…
https://cdn-images-1.medium.com/max/992/1*fDKsqr_bDvhALOu4IUjkRg.jpeg
On May 7th, 2021 Colonial Pipeline suffered a ransomware attack. Unable to access or trust its data network, the company that transports…
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Hacking Articles Tips Tricks Videos Tutorials
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Hacking on Medium
Best Android Hacking Apps| Top 23
https://cdn-images-1.medium.com/max/600/0*rT4wIC24DVbjCmu8
“Best Android Hacking Apps and tools” The learning approaches are also evolving as creativity progressively develops. Your Android phones…
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Best Android Hacking Apps| Top 23
https://cdn-images-1.medium.com/max/600/0*rT4wIC24DVbjCmu8
“Best Android Hacking Apps and tools” The learning approaches are also evolving as creativity progressively develops. Your Android phones…
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Medium
Best Android Hacking Apps| Top 23
“Best Android Hacking Apps and tools” The learning approaches are also evolving as creativity progressively develops. Your Android phones…
Hacking Articles Tips Tricks Videos Tutorials
Photo
Hacking on Medium
How much logging is enough logging? (A10.2017 — Insufficient logging and monitoring)
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Can you ever have too much logging? And if so, how much is too much?
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
How much logging is enough logging? (A10.2017 — Insufficient logging and monitoring)
https://cdn-images-1.medium.com/max/2600/0*Qyc4obauYEcNrDxm
Can you ever have too much logging? And if so, how much is too much?
Continue reading on Medium »
___________________________
@hacking_Attack
@Hacking_Video
Medium
How much logging is enough logging? (A10.2017 — Insufficient logging and monitoring)
Can you ever have too much logging? And if so, how much is too much?
Hacking Articles Tips Tricks Videos Tutorials pinned «Hacking on Medium Best Android Hacking Apps| Top 23 https://cdn-images-1.medium.com/max/600/0*rT4wIC24DVbjCmu8 “Best Android Hacking Apps and tools” The learning approaches are also evolving as creativity progressively develops. Your Android phones… Continue…»
Forwarded from Torrent Leaks
Free Course Site
The Git & Github Bootcamp
https://freecoursesite.com/wp-content/uploads/2021/05/445.jpg
Master the essentials and the tricky bits: rebasing, squashing, stashing, reflogs, blobs, trees, & more! What you’ll learn Understand how Git works behind the scenes Explain the difference Git objects: trees, blobs, commits, and annotated tags Master the essential Git workflow: adding & committing Work with Git branches Perform Git merges and resolve merge conflicts […]
The post The Git & Github Bootcamp appeared first on Free Course Site.
The Git & Github Bootcamp
https://freecoursesite.com/wp-content/uploads/2021/05/445.jpg
Master the essentials and the tricky bits: rebasing, squashing, stashing, reflogs, blobs, trees, & more! What you’ll learn Understand how Git works behind the scenes Explain the difference Git objects: trees, blobs, commits, and annotated tags Master the essential Git workflow: adding & committing Work with Git branches Perform Git merges and resolve merge conflicts […]
The post The Git & Github Bootcamp appeared first on Free Course Site.
Forwarded from Torrent Leaks
FreeCourseSite – Download Udemy Paid Courses For Free
Unsupervised Machine Learning with Python Course
Unsupervised Machine Learning with Python Course
Unsupervised Machine Learning Clustering and Dimension Reduction Algorithms with Python Implementation and Applications
What you’ll learn
Unsupervised Machine Learning with Python Course
*
Clustering Algorithms: Hierarchical, DBSCAN, K Means, Gaussian Mixture Model
*
Dimensions Reduction: Principal Component Analysis (PCA)
*
Implementation of clustering algorithms and principal component analysis in Python
*
Applications of clustering and PCA using real-world data
Requirements
*
Basic knowledge of Linear Algebra including vectors, matrices, transpose, matrix multiplications, linear spaces
*
Basic knowledge of Probability and Statistics including mean, covariance, and normal distributions
*
Ability to program in Python 3
*
Ability to run Python 3 programs on the local machine in Jupyter notebooks and command window
Description
Unsupervised Machine Learning involves finding patterns in datasets.
After taking this course, students will be able to understand, implement in Python, and apply algorithms of Unsupervised Machine Learning to real-world datasets.
This course is designed for:
* Scientists, engineers, and programmers, and others interested in machine learning/data science
* No prior experience with machine learning is needed
* Students should have knowledge of
* Basic linear algebra (vectors, transpose, matrices, matrix multiplication, inverses, determinants, linear spaces)
* Basic probability and statistics (mean, covariance matrices, normal distributions)
* Python 3 programming
The core of this course involves a detailed study of the following algorithms:
Clustering: Hierarchical, DBSCAN, K Means & Gaussian Mixture Model
Dimension Reduction: Principal Component Analysis
The course presents the math underlying these algorithms including normal distributions, expectation-maximization, and singular value decomposition. This course also presents a detailed explanation of code design and implementation in Python, including the use of vectorization for speed up, and metrics for measuring the quality of clustering and dimension reduction.
The course codes are then used to address case studies involving real-world data to perform dimension reduction/clustering for the Iris Flowers Dataset, MNIST Digits Dataset (images), and BBC Text Dataset (articles).
Plenty of examples are presented and plots and animations are used to help students get a better understanding of the algorithms.
The course also includes a number of exercises (theoretical, Jupyter Notebook, and programming) for students to gain additional practice.
All resources (presentations, supplementary documents, demos, codes, solutions to exercises) are downloadable from the course Github site.
Students should have a Python installation, such as the Anaconda platform, on their machine with the ability to run programs in the command window and in Jupyter Notebooks
Who this course is for:
* Scientists, engineers, and programmers interested in data science/machine learning
* Last updated 4/2021
Content From: https://www.udemy.com/course/unsupervised-machine-learning-with-python/
Download Now
More course: Machine Learning Regression Masterclass
The post Unsupervised Machine Learning with Python Course appeared first on FreeCourseSite - Download Udemy Paid Courses For Free.
Unsupervised Machine Learning with Python Course
Unsupervised Machine Learning with Python Course
Unsupervised Machine Learning Clustering and Dimension Reduction Algorithms with Python Implementation and Applications
What you’ll learn
Unsupervised Machine Learning with Python Course
*
Clustering Algorithms: Hierarchical, DBSCAN, K Means, Gaussian Mixture Model
*
Dimensions Reduction: Principal Component Analysis (PCA)
*
Implementation of clustering algorithms and principal component analysis in Python
*
Applications of clustering and PCA using real-world data
Requirements
*
Basic knowledge of Linear Algebra including vectors, matrices, transpose, matrix multiplications, linear spaces
*
Basic knowledge of Probability and Statistics including mean, covariance, and normal distributions
*
Ability to program in Python 3
*
Ability to run Python 3 programs on the local machine in Jupyter notebooks and command window
Description
Unsupervised Machine Learning involves finding patterns in datasets.
After taking this course, students will be able to understand, implement in Python, and apply algorithms of Unsupervised Machine Learning to real-world datasets.
This course is designed for:
* Scientists, engineers, and programmers, and others interested in machine learning/data science
* No prior experience with machine learning is needed
* Students should have knowledge of
* Basic linear algebra (vectors, transpose, matrices, matrix multiplication, inverses, determinants, linear spaces)
* Basic probability and statistics (mean, covariance matrices, normal distributions)
* Python 3 programming
The core of this course involves a detailed study of the following algorithms:
Clustering: Hierarchical, DBSCAN, K Means & Gaussian Mixture Model
Dimension Reduction: Principal Component Analysis
The course presents the math underlying these algorithms including normal distributions, expectation-maximization, and singular value decomposition. This course also presents a detailed explanation of code design and implementation in Python, including the use of vectorization for speed up, and metrics for measuring the quality of clustering and dimension reduction.
The course codes are then used to address case studies involving real-world data to perform dimension reduction/clustering for the Iris Flowers Dataset, MNIST Digits Dataset (images), and BBC Text Dataset (articles).
Plenty of examples are presented and plots and animations are used to help students get a better understanding of the algorithms.
The course also includes a number of exercises (theoretical, Jupyter Notebook, and programming) for students to gain additional practice.
All resources (presentations, supplementary documents, demos, codes, solutions to exercises) are downloadable from the course Github site.
Students should have a Python installation, such as the Anaconda platform, on their machine with the ability to run programs in the command window and in Jupyter Notebooks
Who this course is for:
* Scientists, engineers, and programmers interested in data science/machine learning
* Last updated 4/2021
Content From: https://www.udemy.com/course/unsupervised-machine-learning-with-python/
Download Now
More course: Machine Learning Regression Masterclass
The post Unsupervised Machine Learning with Python Course appeared first on FreeCourseSite - Download Udemy Paid Courses For Free.
Forwarded from Torrent Leaks
Free Course Site
Complete Web Application Hacking & Penetration Testing
https://freecoursesite.com/wp-content/uploads/2021/05/41254484545.jpg
Learn hacking web applications, hacking websites and penetration test with my ethical hacking course and becomer Hacker What you’ll learn Advanced Web Application Penetration Testing Terms, standards, services, protocols and technologies Setting up Virtual Lab Environment Software and Hardware Requirements Modern Web Applications Web Application Architectures Web Application Hosting Web Application Attack Surfaces Web Application […]
The post Complete Web Application Hacking & Penetration Testing appeared first on Free Course Site.
Complete Web Application Hacking & Penetration Testing
https://freecoursesite.com/wp-content/uploads/2021/05/41254484545.jpg
Learn hacking web applications, hacking websites and penetration test with my ethical hacking course and becomer Hacker What you’ll learn Advanced Web Application Penetration Testing Terms, standards, services, protocols and technologies Setting up Virtual Lab Environment Software and Hardware Requirements Modern Web Applications Web Application Architectures Web Application Hosting Web Application Attack Surfaces Web Application […]
The post Complete Web Application Hacking & Penetration Testing appeared first on Free Course Site.
Deep Web
r/DNLounge $100 Giveaway 🎉
Announcing r/DNLounge! 🎉
To enter:
*
Join r/DNLounge
*
Comment on this post
Prize: $100 Amazon Giftcard
1 winner will be chosen from the comments and announced in r/DNLounge sometime in the next 5 days
:D
submitted by /u/palomari
[link] [comments]
___________________________
@hacking_Attack
@Hacking_Video
r/DNLounge $100 Giveaway 🎉
Announcing r/DNLounge! 🎉
To enter:
*
Join r/DNLounge
*
Comment on this post
Prize: $100 Amazon Giftcard
1 winner will be chosen from the comments and announced in r/DNLounge sometime in the next 5 days
:D
submitted by /u/palomari
[link] [comments]
___________________________
@hacking_Attack
@Hacking_Video
reddit
r/DNLounge $100 Giveaway 🎉
#Announcing r/DNLounge! 🎉 **To enter:** - Join r/DNLounge - Comment on this post **Prize: $100 Amazon Giftcard** **1 winner will be chosen...
Hacking Articles Tips Tricks Videos Tutorials pinned «Free Course Site Complete Web Application Hacking & Penetration Testing https://freecoursesite.com/wp-content/uploads/2021/05/41254484545.jpg Learn hacking web applications, hacking websites and penetration test with my ethical hacking course and becomer…»
Deep Web
Does the deeper hold info the "mainstream media" & "Establishment" don't want you to know?
I put those words in quotes because I spend alot of time debunking those who tend to use the as insults or smears
But I wonder, would the evidence to prove them right exist in the deepweb? I mean the people I argue with don't seem to know, but the possibility is bugging me.
submitted by /u/ryu289
[link] [comments]
Does the deeper hold info the "mainstream media" & "Establishment" don't want you to know?
I put those words in quotes because I spend alot of time debunking those who tend to use the as insults or smears
But I wonder, would the evidence to prove them right exist in the deepweb? I mean the people I argue with don't seem to know, but the possibility is bugging me.
submitted by /u/ryu289
[link] [comments]
reddit
Does the deeper hold info the "mainstream media" & "Establishment"...
I put those words in quotes because I spend alot of time...
Deep Web
is dark.fail back?
I was looking at the site and i said it was highjacked but its back on a .onion link only, is this true or just apart of the scam?
submitted by /u/Darcnight311
[link] [comments]
is dark.fail back?
I was looking at the site and i said it was highjacked but its back on a .onion link only, is this true or just apart of the scam?
submitted by /u/Darcnight311
[link] [comments]
reddit
is dark.fail back?
I was looking at the site and i said it was highjacked but its back on a .onion link only, is this true or just apart of the scam?
Hacking Articles Tips Tricks Videos Tutorials
Photo
hacking: security in practice
Ireland's health service shuts down IT systems over 'significant ransomware attack'
https://external-preview.redd.it/UQd_Tzmr5BqAR_xyQZt5HWARA_HhOkz70gyFNwC3wcU.jpg?width=640&crop=smart&auto=webp&s=99b21f61d47cffeccfc505fcf2b33ebf0e8b8f5b submitted by /u/pintmaan
[link] [comments]
Ireland's health service shuts down IT systems over 'significant ransomware attack'
https://external-preview.redd.it/UQd_Tzmr5BqAR_xyQZt5HWARA_HhOkz70gyFNwC3wcU.jpg?width=640&crop=smart&auto=webp&s=99b21f61d47cffeccfc505fcf2b33ebf0e8b8f5b submitted by /u/pintmaan
[link] [comments]
Hacking Articles Tips Tricks Videos Tutorials
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Hacking on Medium
Latest news on next-gen Auth Tech in Korea (May 14, 2021) #Cybersecurity in Korea #White Hat…
https://cdn-images-1.medium.com/max/2600/1*40YUEp6eRdnbUZNXMNOQug.jpeg
Latest news on next-gen Auth Tech in Korea
Continue reading on Medium »
Latest news on next-gen Auth Tech in Korea (May 14, 2021) #Cybersecurity in Korea #White Hat…
https://cdn-images-1.medium.com/max/2600/1*40YUEp6eRdnbUZNXMNOQug.jpeg
Latest news on next-gen Auth Tech in Korea
Continue reading on Medium »