Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for each major topic.This is the most complete list and the Big-O is at the very end, enjoy… >>> Update: We have recently redesigned these cheat sheets into a Super High Definition PDF. Check them out below: Downloadable: Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Data Science… Neural Networks >>> If you like this list, you can let me know here.<<< Neural Networks Graphs Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot Machine Learning Overview Machine Learning: Scikit-learn algorithm This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. The flowchart will help you check the documentation and rough guide of each estimator that will help you to know more about the problems and how to solve it. Scikit-Learn Scikit-learn (formerly scikits.learn ) is a free software machine learning library for the Python programming language. It features various classification , regression and clustering algorithms including support vector machines , random forests , gradient boosting , k-means and DBSCAN , and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy . MACHINE LEARNING : ALGORITHM CHEAT SHEET This machine learning cheat sheet from Microsoft Azure will help you choose the appropriate machine...
It’s true; the future of cyber security is AI. It’s advancing daily, and eventually, all antivirus and general security protection will be provided by AI-enabled analysis. But we’re some way off this yet, and despite advances, AI is only one element in building our security defences against future cyber threats. It is important to take a risk and business-centric approach to gathering and examining threat intelligence and making informed decisions on this at Board level. Risks to an organisation can emerge despite having made significant investment in security controls. We can become complacent once that initial investment has been made and forget that buying a tool is the beginning, and not the end, of the journey. SIEM products provide the best example of this. So, we have a big tick on the spreadsheet next to ‘security’, but does it really mean that the organisation’s defence is any better? The effectiveness of the product is conditional upon the organisation’s depth of expertise in being able to tune the solution to the specific and properly defined protective security monitoring objectives. It’s rare that organisations have the necessary in-house skills to be able to do this and if they do, you can be sure they will be ‘headhunted’ before too much longer. This complacency, of just investing in software and thinking that it will meet all our requirements ‘out of the box’ rather than understanding potential threats and how the product can help us to manage these, is likely to be leaving your organisation open to attack. About the author Neil Kell is the Director of Evolve Secure Solutions, part of the...
Evil-WinRM is the ultimate WinRM shell for hacking/pentesting. WinRM (Windows Remote Management) is the Microsoft implementation of WS-Management Protocol. A standard SOAP based protocol that allows hardware and operating systems from different vendors to interoperate. Microsoft included it in their Operating Systems in order to make life easier to system administrators. This program can be used on any Microsoft Windows Servers with this feature enabled (usually at port 5985), of course only if you have credentials and permissions to use it. So we can say that it could be used in a post-exploitation hacking/pentesting phase. The purpose of this program is to provide nice and easy-to-use features for hacking. It can be used with legitimate purposes by system administrators as well but the most of its features are focused on hacking/pentesting stuff. Features Ruby 2.3 or higher is needed. Some ruby gems are needed as well: winrm >=2.3.2, winrm-fs >=1.3.2, stringio >=0.0.2 and colorize >=0.8.1. Depending of your installation method (3 availables) the installation of them could be required to be done manually. Another important requirement only used for Kerberos auth is to install the Kerberos package used for network authentication. For some Linux like Debian based (Kali, Parrot, etc.) it is called krb5-user. For BlackArch it is called krb5 and probably it could be called in a different way for other Linux distributions. Installation & Quick Start (4 methods) Method 1. Installation directly as ruby gem (dependencies will be installed automatically on your system) Method 2. Git clone and install dependencies on your system manually Method 3. Using bundler (dependencies will not be installed on your system, just...
On Dec. 14, 2018, Aaron Cole was about to buy a new house and received an email that he thought was from his title company, directing him to make a $123,000 deposit. Cole complied, not realizing that a sophisticated hacker network had likely been spying on his communications with the title company and that although the email looked like others he had received from the title company, this time, the email address was slightly different. A week later, the title company called, advising him it was time to send money. The Oregon man suddenly realized he had given away his family’s life savings to criminals. The money was from the sale of their former house. “It was the worst feeling,” Cole said. “And then having to go home and tell my wife that I just gave away all the money. She could tell right when I walked in the house and just sat down, and I just couldn’t come up with the words to tell her.” In 2015, $220 million was lost to wire fraud in the United States. In 2019, losses will surpass $1.5 billion, according to WFG National Title Insurance Co. In the past, attempts to trick people were often clumsy, FBI agents told journalists on Friday. Now they can be sophisticated. If people are asked via email to transfer money under a deadline, they should not rush and instead call a known number of the person the email is purportedly from and confirm the request, the agents said. “The emails have gotten well-crafted and quite detailed. They’re highly tailored to that particular victim,” said Gabriel Gundersen,...
WASHINGTON — Twenty-seven states activated National Guard cyber security cells in November 2018 to help ensure critical network infrastructure remained unobstructed during the mid-term elections, the Guard’s top general said Tuesday, predicting more states would deploy such teams in 2020. As concerns about elections security in the United States have risen in recent years amid threats from Russia and others, the National Guard has increased the size of its cyber force and turned to experts within its ranks who have honed critical cyber skills in their civilian jobs, Air Force Gen. Joseph Lengyel, the commander of the National Guard Bureau, told reporters at the Pentagon. Though those National Guard units were not forced to contend with an active threat to elections in 2018, governors and others have recognized the need to have their own state-level forces prepared to ensure no one tampers with U.S. elections, just as Guard members provide them the ability to respond to a natural disaster, the general said. “Our goal as men and women of the National Guard is to be able to offer these kinds of service to our governors to respond to a domestic event, whether it’s a hurricane, a fire, a flood or a cyber event. It’s just another military skillset that we have that can be used,” Lengyel said. “… Election network security is a very state-centric thing. We’re an additive measure that can augment state response entities … and we’re trying to grow it.” Today, the National Guard boasts some 3,900 cyber troops in 59 cyber units with elements in all 50 states. But it has also looked to cyber...
An Artificial Neural Network (ANN) is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to develop an understanding of a particular type of Artificial Neural Network called the Multi Layer Perceptron. A Single Neuron The basic unit of computation in a neural network is the neuron, often called a node or unit. It receives input from some other nodes, or from an external source and computes an output. Each input has an associated weight (w), which is assigned on the basis of its relative importance to other inputs. The node applies a function f (defined below) to the weighted sum of its inputs as shown in Figure 1 below: Figure 1: a single neuron The above network takes numerical inputs X1 and X2 and has weights w1 and w2 associated with those inputs. Additionally, there is another input 1 with weight b (called the Bias) associated with it. We will learn more details about role of the bias later. The output Y from the neuron is computed as shown in the Figure 1. The function f is non-linear and is called the Activation Function. The purpose of the activation function is to introduce non-linearity into the output of a neuron. This is important because most real world data is non linear and we want neurons to learn thesenon linear representations. Every activation function (or non-linearity) takes a single number and performs a certain fixed mathematical operation on it . There are several activation functions you may encounter in practice:...
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