Best 5 programming languages to learn the machine

The increasing demand for automated learning experts has increased over the last few years. Curiosity is to know programming languages that can be used in automated learning. But before discussing the best programming languages for automated learning, you should have brief information on the concept of automated learning.

 

What is automated learning?

In computer science, machine learning is part of the artificial intelligence that provides your computer with the ability to learn how to improve its performance with data, without being exclusively programmed. In today's world of technology, automated learning is one of the fastest growing concepts, with most major technology companies investing heavily in improving their products.

In 1959, Arthur Samuel used the word machine learning for the first time to explore the construction of algorithms that can be used to predict data by overcoming rigid programming instructions accurately to make predictions and decisions based on data. Automated learning is used today in a number of computing operations where the use of explicit programming and algorithm design is not possible such as disclosure of data breaches by insiders or hackers on the network, etc.


The best programming languages for automated learning
In order to understand the process of automated learning and work on it, you will have to learn some programming languages. Here are some of the best programming languages used for automated learning.

Python
Python has become a popular programming language because it can be used flexibly for different purposes. For automated learning, it contains specific libraries such as numpy and scipy which enable your computer to learn linear algebra and kernel methods of automated learning. While working on automated learning algorithms, this language is used extensively since its installation is relatively easy. It is the best programming language for beginners.

R language
This programming language was developed in Bell Labs as a modern version of S. In order to provide flexibility in the production of statistical models, R is combined with the lexical range. Many GNU packages available in R language make it a truly powerful language for automated learning.

One can use R language to create useful algorithms and easy statistical visualization of those algorithms using R Studio. Industry has recently recognized the importance of R language even if it has been common among academic researchers for a long time.

Lisp
Lisp is the best language for programmers who want to learn about the history and facts about the character and practices used in programming just for fun. Some consider it a supernatural tool for programs, while some believe that no language for automated learning has been devised like this.

In fact, artificial intelligence was also used before the invention of programming languages such as Scala, Python, Haskell, etc. It is used more by compilers. Compiles garbage as it contains an automatic memory manager.


Prolog language
It is one of the oldest languages developed for artificial intelligence programming. It is another basic language like Lisp that is used in the artificial intelligence of computers. Developers working on flexible frameworks work with the mechanism of this language. This target language and rule contains rules and facts to dictate the language of encryption for artificial intelligence. It supports some basic mechanisms such as data structuring, automatic regression, pattern matching, etc., essential for artificial intelligence programming.

While representing tree-based data structures, this programming language contains an internal list to handle basic issues. It can be used efficiently to program artificial intelligence programs as quickly as units are fired frequently. Allows you to run the program at the same time as you create the database.

JavaScript
Most new and experienced web developers are using JavaScript today. For a long time, JavaScript used to be limited to web development only but now it is everywhere. Tensorflow.js, an open source library for the Google framework for automated learning is built on the top of JavaScript. Javascript is located in the Python and Java class for its extensive applications.

Computer science and computer engineering

What is the difference between computer science and computer engineering? We must all think about this at least once in our lives. If you are still not answered or have no clear idea, continue reading to find more details. The ultimate goal for both areas is to make advances in technology and make life easier, both through software upgrades or hardware innovations. So, first of all, let's look at the definitions of either.

 

Computer Engineering or Computer Engineering (CE) is a combination of electrical engineering and computer science. It deals primarily with computing in all forms, from microprocessors to embedded computing devices to laptop and desktop systems to supercomputers.

On the other hand, Computer Science or Computer Science (CS) is a study of how data is processed, stored, and reported by computers.

In simple terms, CE deals with computers while CS deals with software / software in computers. Now that we have laid out the basics, let us look at how they differ at the university / college level from the perspective of career choices.

Based on what we choose as our area of study, whether CE or CS; both have shared courses and different courses / options at the university. All courses begin with the basics of programming. For example, everyone passes C / C ++ / JAVA / HTML / DBMS basics. Then, based on their field, they branch out to topics that deal primarily with their domain directly.

Computer engineers begin by learning more deeply and more specifically about computer architecture, mainly the CPU and other components involved. They also take half the classes that electrical engineers take, such as introduction to electronics, ring analysis, digital electronics, embedded systems and many more.

On the other hand, computer scientists focus mainly on the design and analysis of algorithms, programming and mathematics to solve some of the famous algorithms and improve the efficiency of their symbols while reducing the time taken to solve a problem.

But eventually CE and CS go hand-in-hand to solve everyday problems effectively and efficiently.

6 consumer devices used in your home can hacker penetrate

Smartphones, home automation systems and virtual personal assistants can make life easier for all of us, but everything has its price and challenges. The biggest concerns in this area are piracy, yes piracy and hacking are the biggest threat to devices and the new life system based on Internet-related technology devices permanent.



Breakthrough now not only threatens computers and smart phones, but a set of technologies and devices that you use in your home can be vulnerable to penetration. In this post we will identify the six consumer devices used in your home can hacker penetrate.

1. Refrigerators

 

 Home refrigerators are simply cooled food and drinks, but smart refrigerators have been developed and incorporated into tablet PCs to allow you to view calendar, play music, watch videos and even make purchases online. Future smart refrigerators can also identify the food and drinks inside, and automatically alert you to the need to buy missing items. These functions can make everyday life a little easier, but you have to be very careful with such devices.

A digital security company discovered that two weeks ago, between 23 December 2013 and 6 January 2014, cybercriminals hacked 100,000 smart home appliances, including refrigerators. They even used the Internet connection of these refrigerators to send malicious messages to others!

2. LEDs

 

 Hackers can connect to various devices connected to the Internet and this is something known. But smart lights are particularly vulnerable to piracy, as researchers from Israel and Canada discovered last year. Hackers may be able to remotely control these bulbs remotely, such as turning them on or off, and changing the light level.

3. Printers

 

 Just like computers and smart phones, some printers come with Wi-Fi connectivity, which makes them a victim of hackers. After hackers can break through the printer, they can see what is being printed on the device, and the computer with which the printer is connected may be attacked. In February 2017, a hacker wrote automated text to manage more than 160,000 printers connected to the Internet without a firewall. Although he can print threatening messages or steal confidential data from these printers, he only prints the messages shown in the following picture:



4. Games



Some toy companies, which produce smart dolls equipped with sensors that transmit all kinds of data, from sound recordings to all vital indicators of the child. Earlier this year, pirates had access to 800,000 client accounts using such games, which could threaten the confidentiality of sound records stored in their system.

5. GPS device



Regardless of whether is an independent device or built-in car, GPS can greatly reduce the time of the person when traveling. But hackers can penetrate the GPS on the phone or in the car to track the owner's location, send a person to a dangerous place or even cause an accident. Using a GPS simulator, hackers can also rig coordinates to change location data.

6. Cars



In 2015, two security researchers were able to penetrate and control the Jeep, while Charlie Miller and Chris Falasik managed to control the radio, windshield wipers and air conditioning in the car. Furthermore, the researchers also managed to change the car's speed, brake and track movement with the GPS.













 

Sunway Taihulight: Fastest computer in the world that entered the Guinness World Records Book

The China-US dispute over the technology market has been drastically undermined in many markets and sectors, and the Asian nation has already demonstrated its strength in many technological fields against a competitor on the other side of the world - the United States.



China has overtaken the United States in the field of supercomputers or supercomputers, which are large devices that process and analyze large amounts of data and mathematical equations, and accomplish in a second what other computers need to accomplish in millions of years.

 
 From 2017, China has the majority of most supercomputers on the list of the world's top 500 computers. And
China now has 202 supernatural computers, compared to 143 for the United States, while Japan has 35, Germany 20, France 18, and 15 United Kingdom.

 

 The Chinese computer "sunway taihulight" leads the list of the fastest supercomputers in the world and is located in the National Center for computers in the city of Wuxi, and another computer from the same country ranked second. Between the fastest US computer ranked fifth after the computer of Japan and Switzerland.



 What does this mean ?
 
This superiority and rapid transformation of China shows that the Asian country continues to invest heavily in supercomputers, capable of working efficiently in various scientific fields, from astronomy to the military, to weather forecasting. Most importantly, these computers are Chinese-made, which confirms that China is trying to rely on itself in the manufacture of supercomputers and the dependence of dependence on the United States of America.

USB 3.2: cables, names, speeds ... everything you need to know about the new standard

The USB 3.2 has just been announced: the new standard makes the paper explode throughput rates up to 20 Gb / s. In fact, and probably just to annoy the entire planet, the USB-IF decided that under this name would actually hide three protocols at different transfer speeds, USB 3.2 Gen 1, USB 3.2 Gen 2 and the USB 3.2 Gen 3. Standards that can pass through cables compatible with USB A or USB C connectors, which may be difficult to identify ... Here's all you need to know.



 The USB IF has just formalized in February 2019 the USB 3.2 standard. A new chapter in the history of USB, since the cables compatible with different generations of USB 3.2 will reach theoretical maximum speeds of 20 Gb / s. Or the same transfer speed as the Thunderbolt 2 - the Thunderbolt 3, currently used as USB transfer protocol type C by some manufacturers reaches 40 Gb / s is twice this speed. The problem is that under the name USB 3.2 are hiding three generations each capable of different rates. These rates can be identical to those allowed by the USB 3.0 and 3.1 standards. Finally, the USB 3.2 standard is a transition standard between several USB connector formats and the USB type C connector that will eventually replace all.

USB 3.2 Gen 1, 2 and 2 × 2: theoretical rates

On paper, the USB 3.2 allows theoretical data rates up to 20 Gb / s. In fact, the USB-IF has actually announced three standards in the standard, only one of which can achieve this speed. To add a little more to the confusion, the generations 1 and 2 allow to reach the same speeds as the USB 3.1 Gen 2 (10 Gb / s) and the USB 3.0 also known under the name USB 3.1 Gen 1 (5 Gb / s). Thus with USB 3.2 we have the following three standards and theoretical rates:

    USB 3.2 Gen 1: 5 Gb / s
    USB 3.2 Gen 2: 10 Gb / s
    USB 3.2 Gen 2 × 2: 20 Gb / s

USB 3.2: cacophony of names

For this generation, we can not say that the USB-IF was simplistic. Not to say that the consortium has somewhat complicated things. In addition to the version names attached to their generation, the USB-IF recommends to the manufacturers the following trade names:

    SuperSpeed USB (USB 3.2 Gen 1)
    SuperSpeed USB 10 Gbps (USB 3.2 Gen 2)
    SuperSpeed USB 20 Gbps (USB 3.2 Gen 2 × 2)

The problem is that manufacturers have no obligation to use either of these names. So we can expect that some are trying to blur the tracks by announcing for example a compatibility "USB 3.2", suggesting speeds of up to 20 Gb / s when in fact it is only about USB 3.0 port rebranded to USB 3.2 port. In addition, if the names SuperSpeed USB 10 Gbps and 20 Gbps have the merit to say clearly what they consist, one wonders why the USB-IF did not follow the same convention with SuperSpeed USB. Again this may imply for the consumer speeds of up to 20 Gb / s when in fact it is only 5 Gb / s maximum.

Cables problems

To make matters worse, we must see that the USB 3.2 can pass through several different cables: USB A, microUSB or USB type C. It is therefore imperative to ensure that the cable you plug is compatible with the generation of the protocol that you aim to avoid lower rates. The multiplicity of generations and appellations of this standard, in addition to the creativity of the manufacturers in terms of designations around this standard, should not make the choice always very simple for the consumer.

Will USB 4 be more readable?

Presumably, yes. The USB 4 has already been announced, and this time it is to create a free version of the protocol Thunderbolt 3 (40 Gb / s), to reduce the license costs of manufacturers and therefore democratize this technology. The USB 4 will be backward compatible with USB 3.2, USB 2.0 and Thunderbolt 3, just as the USB 4 protocol will be backward compatible with Thunderbolt 3. This means that the Thunderbolt 3 cables can be used on USB 4 ports. conversely at 40 Gb / s. But we are not yet safe from a surprise ...

USB 3.2: why it's so complicated

This is the big question that many readers are asking themselves. Why for example, do not simplify, and talk about USB 3.0 (5 Gb / s), USB 3.1 (10 Gb / s) and USB 3.2 (20 Gb / s), as the transfer speeds of generations 1 and 2 correspond to those of the two previous versions? We know that in the past, the USB-IF had already made name changes that some will find absurd, such as renaming a posteriori USB 3.0 USB 3.1 Gen 1. There is no explanation. Especially since other consortiums just as important as the WiFi alliance, do just the opposite, and have simplified their nomenclature with WiFi standards 1 to 6 instead of less mnemonic networks 802.11a / b / g / n / ac / ax etc ...

Since the consortium is made up of representatives of the companies that use it, we can not help but think that it is precisely the latter that are driving this confusion. What move their devices for newer products: imagine for example an external disk manufacturer to pass a model designed when the output of USB 3.0 for a model USB 3.2. Which is technically true, provided you specify the generation somewhere. We can also imagine PC manufacturers enjoying it in the same way ... Of course, this kind of problem will undoubtedly occur more on the input and midrange devices - the good news is that when a product is compatible USB 3.2 Gen 2 × 2, so is it with all previous versions.

USB 3.2: when will it be available?

Manufacturers should start offering USB 3.2 products in 2019, with probably more compatible devices in 2020.

Through this apps you knows who used your phone in your absence

No doubt we do not like anyone using our phones without taking permission from us even when you have a password for your phone. There are those who snoop and try to access the phone, so today I will give you a set of applications that will enable you to know who used your phone when you were gone.



First application: Lockwatch - Thief Catcher

This is the best application in today's list as it contains many great features as well as it exceeded a huge number of downloads in the store Google Play, all you have to download the application then you set a set of settings such as the number of attempts after skipping the application filming of the user The phone also identifies your email address

 

 Where the application will send the images taken, and will send you the geographical location that happened, and of course this is a very nice feature in case God forbid if your phone is stolen
 
Second application: CrookCatcher

This application is very similar to the last application, but it is unique in that it tells you the last time someone tried to access your phone. As for its configuration, all you have to do is write the email and the application will run automatically.

 

Seach Engine Optimization: for whom, why and how?

        
Natural referencing? You have probably heard it already. But although this term is quite common, many people still do not know what it's all about. Yet, SEO is essential today. It is therefore wise to see the reasons to optimize its site for SEO, and especially how it works.

Why optimize your site for SEO?

Simply to optimize your visibility on the internet. Indeed, according to a study:

    80% of people have a computer
    For youth, this rate increases by 95%
    Google and the most visited

85% of Internet users search for more information on the internet before embarking on the purchase of an object.

But that's not all. It has also been noted that appearing on the first page of Google is essential because 87% of people will not visit the second page of Google.

Finally, optimize your site for SEO, because all your competitors already do. Thus, to continue to increase your visibility on the web, you have to be fairly competitive on the internet.

SEO is for whom?

In short, natural referencing is for anything that wants to improve its visibility on the internet.

Whether you are a company, an entity, an association, an organization or an individual, natural referencing concerns you as soon as you have one or more sites and want to generate your traffic.

Using SEO is simply a guarantee that allows you to have a site visible on the internet and will be visited for a large number of people.

How does it work?

At first glance, note that Google is a robot, and of course, its behavior is predictable. In addition, all professionals know that to position themselves on the first page of search results, you have to follow certain rules.

To optimize the site, you must first choose the keywords so that they are in harmony with your theme. Only, avoid exaggerating. 3 to 4 keywords are enough for a text of 500 words.

On the other hand, the content must be unique, non-duplicated, convincing and relevant. For sentences, use short, simple sentences to make the text easier to understand.

And finally, we must not forget the tags and meta description (the summary of the text which has about 160 characters).

Android: a security vulnerability allows to spy on you since 2013

Android is the victim of a serious security breach. With this breach, an attacker can easily install malware on your smartphone to collect your personal data, including your browsing history. All versions of Android, from Kit Kat (released in 2013), are affected.

    
 "A flaw allows attackers to access sensitive information from all Android devices, including web browser history, messages and banking application data," said Sergey Toshin, cybersecurity researcher at Positive Technologies. Only users of a web browser that uses the Chromium rendering engine, such as Chrome or Samsung Internet, are affected.
 

A serious security vulnerability has been identified on Android: Google deploys a patch

According to the researcher, the flaw is in the WebView component, which is preinstalled on your smartphone. It is basically used for displaying web pages in Android apps. By exploiting this vulnerability, an attacker can easily hide malware or malicious applications in your device. "The WebView component is used in most Android applications, making these attacks extremely dangerous," says the expert.

 Once this is done, the hacker will be able to siphon "information from WebView from other applications", which includes the history of your web browser or your login credentials online, Facebook or Twitter for example. According to Sergey Toshin, there is no evidence that the flaw was used by a pirate to launch an attack.

Fortunately, Google has fixed the flaw with the release of Chrome 72 last January. "Since Android 7.0, WebView is implemented via Google Chrome and, therefore, updating the browser is enough to correct the problem," says the researcher. We invite you to update your browser without further hearing. For users of an earlier version of Android Nougat, update WebView without delay by going to the Google Play Store.