87 minutes of football had been played in North London last Saturday, as Jose Mourinho’s Tottenham Hotspur clamoured in a desperate search for an equalising goal. Liverpool managed to gain a lead earlier in the contest through Roberto Firmino but had been unable to add to their tally, resulting in the final stages of the match descending into chaos, with ball moving rapidly up and down the pitch, and Spurs missing a pair of excellent chances through Heung-min Son and Giovani Lo Celso. But in one moment, Liverpool managed to kill Spurs’ momentum dead. As Dele Alli took control of possession of the ball near the halfway line, Jürgen Klopp’s team morphed into a solid, narrow block and gave their opponents a simple ultimatum – ‘go around us’. 10 players wearing red had positioned themselves in the centre of the field, separated from back-to-front and from side-to-side by a total of no more than 20 yards. Unsurprisingly, the ploy worked and the contest ended with Liverpool securing their sixth clean sheet in a row. The Reds have now conceded at least seven fewer goals than any other Premier League outfit this season, and that record stems from the team’s ability to control the pitch. The large majority of football clubs have data analysis departments, but very few, if any at all, incorporate such knowledge into top-level decision-making and processes to the extent that Liverpool do. Michael Edwards, the club’s sporting director, is a former analyst himself having previously spent time at Portsmouth and Spurs. He’s since been promoted through the ranks at Anfield, with his current role centred around...
Today every business wants to work on to build a base of new customers all while retaining the existing ones through their mobile applications. This can only become possible if the business manages to satisfy the needs of its target audience and potential customers. This is the reason why the mobile app development businesses should work towards presenting the idea of their business to the users as well as convey what the app actually stands for in the first place. So the question arises– when you can actually find all the information on Google, why take the effort to download and install an app which is focused on serving a particular need? Now, this is the traditional method of collecting information about the users and by using mobile applications which focuses on fulfilling particular needs of the users in which you also get a better chance to know more about what goes on in their minds. By making use of artificial intelligence along with machine learning, the market is building up a strong competition now to come up with smarter mobile applications. As per PwC study conducted on 2500 US business decision makers and consumers, 72% believe that AI has the power of offering a business advantage. Mobile app developers pose themselves as the controller of mobile technology but the real work today is done by artificial intelligence technology and machine learning algorithms which work on to turn these mobile applications into awesome things for users. The way these mobile apps are built and used have changed with the introduction of these two technologies. Find the ways in which...
AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. The framework determines the most appropriate attack path for a given network, and can be used to execute a simulated attack on that network via penetration testing tools, such as Metasploit. AutoPentest-DRL is being developed by the Cyber Range Organization and Design (CROND) NEC-endowed chair at the Japan Advanced Institute of Science and Technology (JAIST) in Ishikawa, Japan. An overview of AutoPentest-DRL is shown below. The framework can use network scanning tools, such as Nmap, to find in the target network; otherwise, user input is employed instead. The MulVAL attack-graph generator is used to determine potential attack trees, which are then fed in a simplified form into the DQN Decision Engine. The attack path that is produced as output can be fed into penetration testing tools, such as Metasploit, to conduct an attack on a real target network, or used with a logical network instead, for example for educational purposes. In addition, a topology generation algorithm is used to produce multiple network topologies that are used to train the DQN. Next we provide brief information on how to setup and use AutoPentest-DRL. For details, please refer to the User Guide that we also make available. Prerequisites Several external tools are needed in order to use AutoPentest-DRL, as follows: Nmap: Network scanner used by AutoPentest-DRL to determine vulnerabilities in a given real network. The command needed to install nmap on Ubuntu is given below: sudo apt-get install nmap Setup AutoPentest-DRL has been developed mainly on the Ubuntu 18.04 LTS operating system; other OSes may work, but...
It’s a new era for Microsoft and for .NET, and that is not an overstatement. If you haven’t been following, here are some of the things that happened over the last year: .NET Framework and C# language has been open-sourced and is now being developed in the open on GitHub .NET now officially runs on Windows, Linux, Mac OS X, iOS, Android and you can get full development experience on any OS too Microsoft is bringing native Linux experience into Windows And with the new .NET Foundation the whole ecosystem is not even owned by Microsoft anymore.Putting all of this together you get a full experience where you can develop with C# on either Windows or Mac, use proper command-line UNIX-based developer tools even on Windows, and happily deploy to Linux servers. Basically .NET/C# has overtaken Java as the true cross-platform development ecosystem. Plan In order to get experience with the new toys, I’ve come up with the following plan: Create a “hello world” web service using .NET Core and C# on Mac Run it in docker Deploy it to AWS container service Let’s get our hands dirty… Step 1: Set up .NET Core So I decided to use Mac OSX rather than Windows to make it more interesting (plus it will make life easier when trying to run docker). Installing .NET is super easy just following the steps here .NET Core installation steps That gives you dotnet command line tool which you can use to create, build, run projects without any IDE. Here is how you create and run a new “Hello World” console app: Visual Studio Code...
I have collected ten great repositories you can find on GitHub that will definitely give you an instant knowledge boost. 1. Awesome Awesome is, without a doubt, the most popular repo that curates all topics from software development to hardware to business. It has more than 123,000 stars on Github at this moment, and one could spend days (nights) browsing it. It is my one-stop-shop if I want to learn something new. 2. List of (Advanced) JavaScript Questions This repository (13,000 stars) created by Lydia Hallie (great person, by the way, check her out on Instagram!) is awesome if you want to test your JavaScript knowledge and/or prepare for a job interview. Lydia constantly adds new questions, so this repo is growing steadily! 3. JavaScript Algorithms and Data Structures JavaScript Algorithms (59,500 stars) contains a tremendous amount of JavaScript-based examples of popular and less popular algorithms and data structures. The structure is really nice because the examples are labeled either beginner or advanced. So whether you are interested in cryptography, sorting, graphs or even machine learning (and much more), there will be something for you. 4. Clean Code JavaScript Knowing how to write clean code is a useful skill for almost every developer and mandatory in many projects and corporations. This repository (28,400 Stars) takes the concepts of Clean Code by Robert C. Martin and adapts them for JavaScript so you can use them in future work. 5. free-for.dev This great repository (30,000 stars) was created to helping developers find software (SaaS, PaaS, IaaS) and similar offerings that have free tiers. Using great software for free? Sounds awesome! There...
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