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e2b : algorithms   48

How to write a rootkit without really trying | Trail of Bits Blog
We open-sourced a fault injection tool, KRF, that uses kernel-space syscall interception. You can use it today to find faulty assumptions (and resultant bugs) in your programs. Check it out! This post covers intercepting system calls from within the Linux kernel, via a plain old kernel module. We'll go through a quick refresher on syscalls…
rootkit  programming  algorithms  malware  security  linux 
february 2019 by e2b
Home · ssloy/tinykaboom Wiki
A brief computer graphics / rendering course. Contribute to ssloy/tinykaboom development by creating an account on GitHub.
graphics  algorithms  rendering  educational 
february 2019 by e2b
The Real Value of Facebook – Douglas Rushkoff – Medium
Thanks in part to recent revelations about how the company gave access to user data and private messages to Netflix, Spotify, and others, as well as the dirty tricks campaign to smear Facebook critic…
algorithms 
january 2019 by e2b
Generative Coding — The Nature of Code Ported to Three.js
I’ve not reproduced every single example, but rather the key ones in each chapter. These should be more than enough for anyone to understand how to code all his examples in three.js. The listing is…
coding  3d  js  algorithms  generative  art  javascript  generate  interaction 
october 2018 by e2b
TheAlgorithms/Python: All Algorithms implemented in Python
All Algorithms implemented in Python. Contribute to TheAlgorithms/Python development by creating an account on GitHub.
python  algorithm  learning  algorithms  opensource  programming  tutorial  code 
october 2018 by e2b
daviddao/awful-ai: Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
ai  ethics  machinelearning  algorithms  technology 
may 2018 by e2b
How to think in graphs: An illustrative introduction to Graph Theory and its applications
Graph theory represents one of the most important and interesting areas in computer science. But at the same time it’s one of the most misunderstood (at least it was to me). Understanding, using and…
math  article  graphs  algorithms  programming  computerscience 
february 2018 by e2b
Drawing better looking curves / Observable
Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration.
graphics  math  drawing  bezier  algorithms  design  code 
february 2018 by e2b
The UX of AI - Library - Google Design
Using Google Clips to understand how a human-centered design process elevates artificial intelligence
design  ux  ai  algorithms  machinelearning 
february 2018 by e2b
Supervised Machine Learning Algorithms in Python | Toptal
Discover basic supervised machine learning algorithms and Python's scikit-learn, and find out how to use them to predict survival rates for Titanic passengers.
article  machinelearning  algorithms 
february 2018 by e2b
The Coder's Coloring Book
The Coder's Coloring Book is a study tool for students, programmers and
software professionals. Color your way through computer science
fundamentals and land a job a top tech company!
book  algorithms  datastructures  programming  education 
september 2017 by e2b
Algorithm-Driven Design — How AI is Changing Design by Yury Vetrov
Will Robots Replace Designers? No. It's more like an exoskeleton for designers. Algorithm-driven design tools can help us to construct a UI, prepare assets and content, and personalize the user experience.
algorithm  design  ux  machine_learning  ai  algorithms  inspiration 
september 2017 by e2b
A Practical Guide to Tree Based Learning Algorithms | Sadanand's Notes
Tree based learning algorithms are quite common in data science competitions.
These algorithms empower predictive models with high accuracy, stability and ease of
interpretation. Unlike linear models, they map non-linear relationships
quite well. Common examples of tree based models are:
decision trees,
random forest, and
boosted trees.

machine-learning  datascience  algorithms  decision-tree 
july 2017 by e2b
Skip Lists: Done Right · Ticki's blog
Skip lists are a wonderful data structure, but it is hard to get\
right. This blog post presents various techniques to optimize and\
improve the implementation of skip lists.
algorithms  datastructures  programming 
may 2017 by e2b
Algorithms | Computer science | Computing | Khan Academy
We've partnered with Dartmouth college professors Tom Cormen and Devin Balkcom to teach introductory computer science algorithms, including searching, sorting, recursion, and graph theory. Learn with a combination of articles, visualizations, quizzes, and coding challenges.
algorithms  learning  programming  computerscience 
may 2017 by e2b
la-ams.dvi
Thirty-three Miniatures: Mathematical and Algorithmic Applications of Linear Algebra
Jiřì Matoušek
mathematics  algorithms  book  free  pdf 
may 2017 by e2b

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