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1. Deep Learning, Big Data and Artificial Intelligence

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Deep learning is a subset of machine learning, which in turn is a technology for the development of artificial intelligence (AI or AI). Since about 2006, deep learning has been considered by AI researchers to be the most promising approach of AI. All of the breakthroughs in the field of artificial intelligence, such as the victory over a human Go master by Google’s Deepmind team, have been achieved through deep learning.

KI: What will the future bring?
The development of AI special chips is still in its infancy. The reason why deep learning has become a useful method in the field of artificial intelligence is the fact that the hardware has become fast enough for many layers of artificial neural networks. Unlike the traditional PC, AI calculations require a variety of special chips that can handle large amounts of data in parallel.

With the AI booming for many areas from voice assistants to autonomous driving, software and AI hardware technology is likely to make further big leaps in the coming years. In the first half of 2017 alone, CB’s major venture capitalists invested $ 1.8 billion in AI technology, according to CB Insights. That’s already more than in 2016 as a whole, which was already a record.

Deep learning is a subset of machine learning, which in turn is a technology for the development of artificial intelligence (AI or AI). All of the breakthroughs in the field of artificial intelligence, such as the victory over a human Go master by Google’s Deepmind team, have been achieved through deep learning.

In the case of unsupervised learning, the algorithm is usually fed with huge amounts of data that have not been previously detected by humans and thus pre-sorted. This form of machine learning is particularly interesting in the big data age.

The dynamics of platform economies – the fact that in the digital economy a few large players such as Amazon or Google determine the rules for everyone through their platforms – could be compounded by AI. Because data is the raw material to train and improve the artificial neural networks. “AI is an industry

With voice assistants such as Apple’s Siri, Amazon Alexa, or Google Now, Pascal Finette, vice president of Singularity University, is repeating what has already been said for other technologies: The beginnings are disappointing – but soon the assistants will make huge strides. “Skeptics will reply that artificial intelligence is not only a question of computing power but also a question of quality of the algorithms.

Deep Learning relies on a multitude of artificial neurons, which are arranged in numerous layers and filter out relevant information more and more. Instead of focusing on the neurons of biological brains, as in the classic computer on a central, very powerful processor unit, there are numerous, relatively weak computing units, but they are strongly networked with each other. This form of machine learning works especially well in combination with AI-optimized special chips and large amounts of data.

Not everywhere where AI or Machine Learning is written, however, is currently artificial intelligence in the strict sense in it. Especially with chatbots, but also in many social media tools and some tasks for which IBM Watson is used, are still simple scripts are used, which do not improve over time.

Frequently, semi-supervised or supervised learning is often the starting point: here, a human already knows the correct result – for example, the difference between cat videos and non-cat videos. The algorithm now tries to make a hypothesis from the existing data, in this case, to distinguish cat videos from other videos.

It is clear: The boom of the AI is no fluke, the technology is now widely used and the more we use it, the better the AI software is by training data. Google has been calling itself an “AI first” company for some time.

Deep Learning relies on a multitude of artificial neurons, which are arranged in numerous layers and filter out relevant information more and more. Not everywhere where AI or Machine Learning is written, however, is currently artificial intelligence in the strict sense in it. The reason why deep learning has become a useful method in the field of artificial intelligence is the fact that the hardware has become fast enough for many layers of artificial neural networks.

Machine learning, often deep learning, is currently used primarily in speech recognition, image recognition and speech assistants such as Alexa, Siri or Google Now but also in software solutions for autonomous driving.

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Africa Must Wake Up || Dr.Coach Achu Gustave (AEC-Sr.)

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The Issue With Education /IT Education Across The African Continent

๐‘‡โ„Ž๐‘’ ๐‘๐‘Ÿ๐‘œ๐‘๐‘™๐‘’๐‘š ๐‘–๐‘› ๐ผ๐‘‡ ๐ธ๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘›/๐‘‡๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘” ๐‘Ž๐‘๐‘Ÿ๐‘œ๐‘ ๐‘  ๐ด๐‘“๐‘Ÿ๐‘–๐‘๐‘Ž ๐‘–๐‘ ๐‘›โ€™๐‘ก ๐‘คโ„Ž๐‘’๐‘กโ„Ž๐‘’๐‘Ÿ ๐‘™๐‘’๐‘Ž๐‘Ÿ๐‘›๐‘–๐‘›๐‘” ๐‘–๐‘  ๐‘œ๐‘“๐‘“๐‘™๐‘–๐‘›๐‘’ ๐‘œ๐‘Ÿ ๐‘œ๐‘›๐‘™๐‘–๐‘›๐‘’. ๐‘‡โ„Ž๐‘’ ๐‘–๐‘ ๐‘ ๐‘ข๐‘’ ๐‘–๐‘  ๐‘กโ„Ž๐‘’ ๐‘™๐‘Ž๐‘๐‘˜ ๐‘œ๐‘“ ๐‘Ž๐‘› ๐‘Ž๐‘‘๐‘ฃ๐‘Ž๐‘›๐‘๐‘’๐‘‘ ๐‘–๐‘›๐‘ก๐‘’๐‘”๐‘Ÿ๐‘Ž๐‘ก๐‘’๐‘‘ ๐‘š๐‘’๐‘กโ„Ž๐‘œ๐‘‘๐‘œ๐‘™๐‘œ๐‘”๐‘ฆ ๐‘กโ„Ž๐‘Ž๐‘ก โ„Ž๐‘–๐‘”โ„Ž๐‘™๐‘–๐‘”โ„Ž๐‘ก๐‘  ๐‘”๐‘’๐‘›๐‘–๐‘ข๐‘  ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก: ๐‘กโ„Ž๐‘’ ๐‘‘๐‘’๐‘ก๐‘’๐‘Ÿ๐‘š๐‘–๐‘›๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘Ž๐‘›๐‘‘ ๐‘Ž๐‘Ÿ๐‘Ÿ๐‘Ž๐‘›๐‘”๐‘’๐‘š๐‘’๐‘›๐‘ก ๐‘œ๐‘“ ๐‘กโ„Ž๐‘’ ๐‘Ž๐‘๐‘ก๐‘ข๐‘Ž๐‘™ ๐‘ ๐‘’๐‘ž๐‘ข๐‘’๐‘›๐‘๐‘’ ๐‘Ž๐‘›๐‘‘ ๐‘œ๐‘Ÿ๐‘‘๐‘’๐‘Ÿ ๐‘œ๐‘“ ๐‘œ๐‘๐‘๐‘ข๐‘Ÿ๐‘Ÿ๐‘’๐‘›๐‘๐‘’ ๐‘œ๐‘“ ๐‘Ž๐‘› ๐‘’๐‘ฃ๐‘’๐‘›๐‘ก/๐‘œ๐‘๐‘—๐‘’๐‘๐‘ก๐‘–๐‘ฃ๐‘’ (๐‘’.๐‘”. ๐‘Ž๐‘› ๐‘Ž๐‘‘๐‘ฃ๐‘Ž๐‘›๐‘๐‘’๐‘‘-๐‘’๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก ๐‘ ๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ ๐‘๐‘Ÿ๐‘œ๐‘“๐‘’๐‘ ๐‘ ๐‘–๐‘œ๐‘›๐‘Ž๐‘™: ๐ถ๐‘œ๐‘š๐‘๐‘‡๐ผ๐ด ๐ด๐‘‘๐‘ฃ๐‘Ž๐‘›๐‘๐‘’๐‘‘ ๐‘†๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ ๐‘ƒ๐‘Ÿ๐‘Ž๐‘๐‘ก๐‘–๐‘ก๐‘–๐‘œ๐‘›๐‘’๐‘Ÿ (๐ถ๐ด๐‘†๐‘ƒ), ๐‘œ๐‘Ÿ ๐‘†๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘›๐‘” ๐ถ๐‘–๐‘ ๐‘๐‘œ ๐‘๐‘’๐‘ก๐‘ค๐‘œ๐‘Ÿ๐‘˜ ๐‘ค๐‘–๐‘กโ„Ž ๐‘‡โ„Ž๐‘Ÿ๐‘’๐‘Ž๐‘ก ๐ท๐‘’๐‘ก๐‘’๐‘๐‘ก๐‘–๐‘œ๐‘› ๐‘Ž๐‘›๐‘‘ ๐ด๐‘›๐‘Ž๐‘™๐‘ฆ๐‘ ๐‘–๐‘  (๐‘†๐ถ๐‘Œ๐ต๐ธ๐‘…) ๐‘œ๐‘Ÿ ๐ถ๐‘’๐‘Ÿ๐‘ก๐‘–๐‘“๐‘–๐‘’๐‘‘ ๐ผ๐‘›๐‘“๐‘œ๐‘Ÿ๐‘š๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘†๐‘ฆ๐‘ ๐‘ก๐‘’๐‘š๐‘  ๐‘†๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ ๐‘ƒ๐‘Ÿ๐‘œ๐‘“๐‘’๐‘ ๐‘ ๐‘–๐‘œ๐‘›๐‘Ž๐‘™ (๐ถ๐ผ๐‘†๐‘†๐‘ƒ).

๐‘‡โ„Ž๐‘’ ๐‘๐‘Ž๐‘กโ„Ž ๐‘ก๐‘œ ๐‘Ž๐‘โ„Ž๐‘–๐‘’๐‘ฃ๐‘’ ๐‘’๐‘–๐‘กโ„Ž๐‘’๐‘Ÿ ๐‘œ๐‘“ ๐‘กโ„Ž๐‘’ ๐‘Ž๐‘“๐‘œ๐‘Ÿ๐‘’๐‘š๐‘’๐‘›๐‘ก๐‘–๐‘œ๐‘›๐‘’๐‘‘ ๐‘’๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก ๐‘™๐‘’๐‘ฃ๐‘’๐‘™๐‘  ๐‘–๐‘› ๐‘กโ„Ž๐‘’ ๐‘–๐‘›๐‘“๐‘œ๐‘Ÿ๐‘š๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘ ๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ ๐‘–๐‘›๐‘‘๐‘ข๐‘ ๐‘ก๐‘Ÿ๐‘ฆ ๐‘ค๐‘œ๐‘ข๐‘™๐‘‘ ๐‘Ÿ๐‘’๐‘ž๐‘ข๐‘–๐‘Ÿ๐‘’ ๐‘กโ„Ž๐‘’ ๐‘“๐‘œ๐‘™๐‘™๐‘œ๐‘ค๐‘–๐‘›๐‘” ๐‘’๐‘›๐‘กโ„Ž๐‘Ÿ๐‘Ž๐‘™๐‘™๐‘–๐‘›๐‘” ๐‘Ž๐‘›๐‘‘ ๐‘Ž๐‘™๐‘Ž๐‘Ÿ๐‘š๐‘–๐‘›๐‘” ๐‘กโ„Ž๐‘Ÿ๐‘’๐‘Ž๐‘‘๐‘  ๐‘กโ„Ž๐‘Ž๐‘ก ๐‘๐‘œ๐‘š๐‘๐‘™๐‘’๐‘ก๐‘’๐‘™๐‘ฆ ๐‘‘๐‘–๐‘ ๐‘Ž๐‘“๐‘“๐‘’๐‘๐‘ก/๐‘’๐‘ ๐‘ก๐‘Ÿ๐‘Ž๐‘›๐‘”๐‘’ ๐‘›๐‘œ๐‘ก ๐‘—๐‘ข๐‘ ๐‘ก ๐‘ ๐‘ข๐‘๐‘๐‘œ๐‘ ๐‘’๐‘‘ ๐ผ๐‘‡ ๐ธ๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘–๐‘› ๐ด๐‘“๐‘Ÿ๐‘–๐‘๐‘Ž, ๐‘๐‘ข๐‘ก ๐ธ๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘Ž๐‘  ๐‘Ž ๐‘คโ„Ž๐‘œ๐‘™๐‘’!!

๐Ÿญ. ๐—˜๐—ฑ๐˜‚๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜ ๐—œ๐—ป๐—ณ๐—ฎ๐—ป๐—ฐ๐˜† & ๐—ข๐—ฟ๐—ฝ๐—ต๐—ฎ๐—ป๐—ต๐—ผ๐—ผ๐—ฑ:

๐ธ๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘–๐‘  ๐‘—๐‘ข๐‘ ๐‘ก ๐‘›๐‘œ๐‘ก ๐‘Ž๐‘ก ๐‘–๐‘›๐‘“๐‘Ž๐‘›๐‘๐‘ฆ ๐‘–๐‘› ๐ด๐‘“๐‘Ÿ๐‘–๐‘๐‘Ž, ๐‘ โ„Ž๐‘’ ๐‘–๐‘  ๐‘Ž๐‘™๐‘ ๐‘œ ๐‘Ž๐‘ก ๐‘œ๐‘Ÿ๐‘โ„Ž๐‘Ž๐‘›โ„Ž๐‘œ๐‘œ๐‘‘; ๐‘ โ„Ž๐‘’ โ„Ž๐‘Ž๐‘  ๐‘›๐‘œ ๐‘ ๐‘œ๐‘ข๐‘Ÿ๐‘๐‘’ ๐‘œ๐‘Ÿ ๐‘œ๐‘Ÿ๐‘–๐‘”๐‘–๐‘› ๐‘ก๐‘œ ๐‘›๐‘ข๐‘Ÿ๐‘ก๐‘ข๐‘Ÿ๐‘’, ๐‘Ÿ๐‘Ž๐‘–๐‘ ๐‘’, ๐‘œ๐‘Ÿ ๐‘Ÿ๐‘’๐‘Ž๐‘Ÿ โ„Ž๐‘’๐‘Ÿ ๐‘ก๐‘œ ๐‘š๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ; ๐‘กโ„Ž๐‘’ ๐‘๐‘œ๐‘›๐‘ก๐‘–๐‘›๐‘ข๐‘œ๐‘ข๐‘  ๐‘Ž๐‘๐‘ ๐‘’๐‘›๐‘๐‘’ ๐‘œ๐‘“ ๐‘”๐‘’๐‘›๐‘ข๐‘–๐‘›๐‘’ ๐‘Ž๐‘›๐‘‘ ๐‘ ๐‘œ๐‘โ„Ž๐‘–๐‘ ๐‘ก๐‘–๐‘๐‘Ž๐‘ก๐‘’๐‘‘ ๐‘–๐‘›๐‘‘๐‘ข๐‘ ๐‘ก๐‘Ÿ๐‘ฆ ๐‘ ๐‘’๐‘๐‘ข๐‘Ÿ๐‘–๐‘ก๐‘ฆ ๐‘’๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก๐‘ , ๐‘–๐‘  ๐‘Ž ๐‘ โ„Ž๐‘’๐‘’๐‘Ÿ ๐‘’๐‘ฅ๐‘Ž๐‘š๐‘๐‘™๐‘’ ๐‘Ž๐‘๐‘Ÿ๐‘œ๐‘ ๐‘  ๐‘กโ„Ž๐‘’ ๐‘๐‘œ๐‘›๐‘ก๐‘–๐‘›๐‘’๐‘›๐‘ก. ๐‘Šโ„Ž๐‘ฆ?

๐‘‡โ„Ž๐‘’ ๐‘Ž๐‘๐‘ ๐‘’๐‘›๐‘๐‘’ ๐‘œ๐‘“ ๐‘๐‘œ๐‘กโ„Ž ๐‘๐‘Ž๐‘Ÿ๐‘’๐‘›๐‘ก๐‘–๐‘›๐‘” ๐‘Ž๐‘›๐‘‘ ๐‘โ„Ž๐‘Ÿ๐‘œ๐‘›๐‘œ๐‘™๐‘œ๐‘”๐‘ฆ (๐‘๐‘Ÿ๐‘’๐‘‘๐‘’๐‘ก๐‘’๐‘Ÿ๐‘š๐‘–๐‘›๐‘Ž๐‘ก๐‘–๐‘œ๐‘›, ๐‘๐‘Ÿ๐‘’๐‘‘๐‘’๐‘ ๐‘ก๐‘–๐‘›๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘ก๐‘œ ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘ ): ๐‘œ๐‘“ ๐‘๐‘œ๐‘ข๐‘Ÿ๐‘ ๐‘’, ๐‘กโ„Ž๐‘’ ๐‘Ž๐‘๐‘ ๐‘’๐‘›๐‘๐‘’ ๐‘œ๐‘“ ๐‘Ž ๐‘”๐‘’๐‘›๐‘ข๐‘–๐‘›๐‘’/๐‘’๐‘โ„Ž๐‘ก ๐‘Ÿ๐‘œ๐‘Ž๐‘‘๐‘š๐‘Ž๐‘ ๐‘ก๐‘œ ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘  ๐‘–๐‘  ๐‘’๐‘›๐‘ ๐‘ข๐‘’๐‘‘ ๐‘๐‘ฆ ๐‘œ๐‘Ÿ๐‘โ„Ž๐‘Ž๐‘›โ„Ž๐‘œ๐‘œ๐‘‘ (๐‘Ž๐‘๐‘ ๐‘’๐‘›๐‘๐‘’ ๐‘œ๐‘“ ๐‘๐‘Ž๐‘Ÿ๐‘’๐‘›๐‘ก๐‘–๐‘›๐‘”/๐‘š๐‘’๐‘›๐‘ก๐‘œ๐‘Ÿ๐‘–๐‘›๐‘”); ๐‘๐‘Ž๐‘Ÿ๐‘’๐‘›๐‘ก๐‘  ๐‘Ž๐‘  ๐‘›๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘Ž๐‘™ ๐‘š๐‘’๐‘›๐‘ก๐‘œ๐‘Ÿ๐‘ , โ„Ž๐‘Ž๐‘ฃ๐‘’ ๐‘กโ„Ž๐‘’ ๐‘›๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘Ž๐‘™ ๐‘Ž๐‘๐‘–๐‘™๐‘–๐‘ก๐‘ฆ ๐‘ก๐‘œ ๐‘๐‘Ÿ๐‘’๐‘‘๐‘’๐‘ก๐‘’๐‘Ÿ๐‘š๐‘–๐‘›๐‘’ ๐‘กโ„Ž๐‘’ ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘  ๐‘œ๐‘“ ๐‘โ„Ž๐‘–๐‘™๐‘‘๐‘Ÿ๐‘’๐‘›; ๐‘กโ„Ž๐‘’๐‘ฆ โ„Ž๐‘Ž๐‘ฃ๐‘’ ๐‘กโ„Ž๐‘’ ๐‘Ž๐‘๐‘–๐‘™๐‘–๐‘ก๐‘ฆ ๐‘ก๐‘œ ๐‘ ๐‘’๐‘ก๐‘ข๐‘ ๐‘กโ„Ž๐‘’ ๐‘Ÿ๐‘œ๐‘Ž๐‘‘๐‘š๐‘Ž๐‘ ๐‘œ๐‘“ ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘ . ๐ผ๐‘› ๐‘’๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘›, ๐‘’.๐‘”. ๐ผ๐‘‡ ๐ธ๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘›, ๐‘คโ„Ž๐‘œ ๐‘Ž๐‘Ÿ๐‘’ ๐‘กโ„Ž๐‘’ ๐‘๐‘Ž๐‘Ÿ๐‘’๐‘›๐‘ก๐‘ ? ๐‘€๐‘–๐‘๐‘Ÿ๐‘œ๐‘ ๐‘œ๐‘“๐‘ก ๐‘œ๐‘Ÿ ๐ป๐‘Ž๐‘Ÿ๐‘ฃ๐‘Ž๐‘Ÿ๐‘‘ ๐‘ˆ๐‘›๐‘–๐‘ฃ๐‘’๐‘Ÿ๐‘ ๐‘–๐‘ก๐‘ฆ? ๐ถ๐ผ๐‘†๐ถ๐‘‚ ๐‘œ๐‘Ÿ ๐‘ˆ๐‘›๐‘–๐‘ฃ๐‘’๐‘Ÿ๐‘ ๐‘–๐‘ก๐‘ฆ ๐‘œ๐‘“ ๐ต๐‘ข๐‘’๐‘Ž? ๐ถ๐‘œ๐‘š๐‘๐‘‡๐ผ๐ด ๐‘œ๐‘Ÿ ๐‘ˆ๐‘›๐‘–๐‘ฃ๐‘’๐‘Ÿ๐‘ ๐‘–๐‘ก๐‘ฆ ๐‘œ๐‘“ ๐พ๐‘–๐‘”๐‘Ž๐‘™๐‘–? ๐ธ๐ถ-๐ถ๐‘œ๐‘ข๐‘›๐‘๐‘–๐‘™ ๐‘œ๐‘Ÿ ๐‘ˆ๐‘›๐‘–๐‘ฃ๐‘’๐‘Ÿ๐‘ ๐‘–๐‘ก๐‘ฆ ๐‘œ๐‘“ ๐ถ๐‘Ž๐‘๐‘’-๐‘ก๐‘œ๐‘ค๐‘›?

๐‘†โ„Ž๐‘œ๐‘ข๐‘™๐‘‘ ๐‘โ„Ž๐‘–๐‘™๐‘‘๐‘Ÿ๐‘’๐‘› ๐‘๐‘’ ๐‘›๐‘ข๐‘Ÿ๐‘ก๐‘ข๐‘Ÿ๐‘’๐‘‘ ๐‘“๐‘Ÿ๐‘œ๐‘š ๐‘กโ„Ž๐‘’ ๐‘”๐‘’๐‘ก-๐‘”๐‘œ ๐‘๐‘ฆ ๐‘Ž ๐‘๐‘Ÿ๐‘œ๐‘๐‘’๐‘Ÿ ๐‘๐‘Ž๐‘Ÿ๐‘’๐‘›๐‘ก ๐‘œ๐‘Ÿ ๐‘–๐‘›๐‘‘๐‘ข๐‘ ๐‘ก๐‘Ÿ๐‘ฆ, ๐‘›๐‘œ๐‘ก ๐‘œ๐‘›๐‘™๐‘ฆ ๐‘ค๐‘œ๐‘ข๐‘™๐‘‘ ๐‘กโ„Ž๐‘’๐‘ฆ ๐‘๐‘œ๐‘ ๐‘ ๐‘’๐‘  ๐‘Ž ๐‘Ÿ๐‘œ๐‘Ž๐‘‘๐‘š๐‘Ž๐‘ ๐‘ก๐‘œ ๐‘๐‘’๐‘๐‘œ๐‘š๐‘’ ๐‘”๐‘’๐‘›๐‘ข๐‘–๐‘›๐‘’ ๐‘”๐‘’๐‘›๐‘–๐‘ข๐‘ ๐‘’๐‘  -๐‘’๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก๐‘ , ๐‘กโ„Ž๐‘’๐‘ฆโ€™๐‘™๐‘™ โ„Ž๐‘Ž๐‘ฃ๐‘’ ๐‘กโ„Ž๐‘’ ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก๐‘Ž๐‘™ ๐‘ก๐‘–๐‘š๐‘’ ๐‘“๐‘œ๐‘Ÿ ๐‘–๐‘ก.

๐Ÿฎ. ๐—ง๐—ต๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜๐—ฒ ๐—ฎ๐—ฏ๐˜€๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐Ÿญ๐Ÿฌ,๐Ÿฌ๐Ÿฌ๐Ÿฌ-๐—ต๐—ผ๐˜‚๐—ฟ ๐—ฟ๐˜‚๐—น๐—ฒ:

๐ผ๐‘› ๐ด๐‘“๐‘Ÿ๐‘–๐‘๐‘Ž ๐‘’๐‘ก ๐‘Ž๐‘™, ๐‘ค๐‘’โ€™๐‘Ÿ๐‘’ ๐‘ ๐‘ก๐‘–๐‘™๐‘™ ๐‘๐‘’๐‘”๐‘ข๐‘–๐‘™๐‘’๐‘‘ ๐‘๐‘ฆ ๐‘กโ„Ž๐‘’ ๐‘š๐‘œ๐‘ ๐‘ก ๐‘๐‘Ž๐‘Ÿ๐‘Ž๐‘‘๐‘œ๐‘ฅ๐‘–๐‘๐‘Ž๐‘™ ๐‘‘๐‘’๐‘ฃ๐‘–๐‘Ž๐‘ก๐‘–๐‘œ๐‘›๐‘ ; ๐‘โ„Ž๐‘–๐‘™๐‘‘๐‘Ÿ๐‘’๐‘› ๐‘Ž๐‘Ÿ๐‘’ ๐‘’๐‘›๐‘Ÿ๐‘œ๐‘™๐‘™๐‘’๐‘‘ ๐‘–๐‘›๐‘ก๐‘œ ๐‘œ๐‘Ÿ๐‘โ„Ž๐‘Ž๐‘›โ„Ž๐‘œ๐‘œ๐‘‘ ๐‘’๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› (๐‘ค๐‘–๐‘กโ„Ž๐‘œ๐‘ข๐‘ก ๐‘Ž ๐‘๐‘Ž๐‘กโ„Ž ๐‘Ž๐‘›๐‘‘ ๐‘Ž ๐‘›๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘Ž๐‘™ ๐‘š๐‘’๐‘›๐‘ก๐‘œ๐‘Ÿ; ๐‘’.๐‘”. ๐‘€๐‘’๐‘Ÿ๐‘๐‘’๐‘‘๐‘’๐‘  ๐‘“๐‘œ๐‘Ÿ ๐‘Ž๐‘ข๐‘ก๐‘œ๐‘š๐‘œ๐‘ก๐‘–๐‘ฃ๐‘’ ๐‘’๐‘›๐‘”๐‘–๐‘›๐‘’๐‘’๐‘Ÿ๐‘–๐‘›๐‘”, ๐‘€๐‘–๐‘๐‘Ÿ๐‘œ๐‘ ๐‘œ๐‘“๐‘ก/๐ถ๐‘œ๐‘š๐‘๐‘‡๐ผ๐ด, ๐ถ๐‘’๐‘Ÿ๐‘ก๐‘–๐‘๐‘œ๐‘Ÿ๐‘ก ๐‘“๐‘œ๐‘Ÿ ๐‘Ž๐‘› ๐ผ๐‘‡ ๐‘Ÿ๐‘œ๐‘Ž๐‘‘๐‘š๐‘Ž๐‘.) ๐‘Ž๐‘›๐‘‘ ๐‘กโ„Ž๐‘’๐‘› ๐‘ค๐‘’ ๐‘ ๐‘ข๐‘‘๐‘‘๐‘’๐‘›๐‘™๐‘ฆ ๐‘‘๐‘’๐‘๐‘–๐‘‘๐‘’ ๐‘ก๐‘œ ๐‘–๐‘›๐‘–๐‘ก๐‘–๐‘Ž๐‘ก๐‘’ ๐‘กโ„Ž๐‘’๐‘š ๐‘ก๐‘œ ๐‘๐‘’๐‘๐‘œ๐‘š๐‘’ ๐‘’๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก๐‘  ๐‘Ž๐‘“๐‘ก๐‘’๐‘Ÿ ๐‘๐‘œ๐‘›๐‘ ๐‘ข๐‘š๐‘–๐‘›๐‘” ๐‘กโ„Ž๐‘’ ๐‘Ÿ๐‘’๐‘ž๐‘ข๐‘–๐‘Ÿ๐‘’๐‘‘ ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก๐‘Ž๐‘™ ๐‘๐‘’๐‘Ÿ๐‘–๐‘œ๐‘‘!!

๐ธ๐‘ฅ๐‘๐‘’๐‘Ÿ๐‘ก๐‘–๐‘ ๐‘’ ๐‘–๐‘  ๐‘™๐‘–๐‘˜๐‘’ ๐‘กโ„Ž๐‘’ 10,000-โ„Ž๐‘œ๐‘ข๐‘Ÿ ๐‘Ÿ๐‘ข๐‘™๐‘’: ๐‘–๐‘กโ€™๐‘  ๐‘Ž๐‘๐‘œ๐‘ข๐‘ก ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘–๐‘›๐‘” ๐‘Ž๐‘› ๐‘’๐‘“๐‘“๐‘’๐‘๐‘ก๐‘–๐‘ฃ๐‘’ ๐‘๐‘ข๐‘›๐‘โ„Ž ๐‘ก๐‘’๐‘› ๐‘กโ„Ž๐‘œ๐‘ข๐‘ ๐‘Ž๐‘›๐‘‘ ๐‘ก๐‘–๐‘š๐‘’๐‘ . ๐ผ๐‘› ๐‘œ๐‘ข๐‘Ÿ ๐‘๐‘ข๐‘Ÿ๐‘Ÿ๐‘’๐‘›๐‘ก โ€œ๐‘ก๐‘Ÿ๐‘Ž๐‘‘๐‘–๐‘ก๐‘–๐‘œ๐‘›๐‘Ž๐‘™โ€ ๐‘’๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘ ๐‘’๐‘ก๐‘ก๐‘–๐‘›๐‘”, ๐‘โ„Ž๐‘–๐‘™๐‘‘๐‘Ÿ๐‘’๐‘› ๐‘‘๐‘œ๐‘›โ€™๐‘ก ๐‘”๐‘’๐‘ก ๐‘กโ„Ž๐‘’ ๐‘œ๐‘๐‘๐‘œ๐‘Ÿ๐‘ก๐‘ข๐‘›๐‘–๐‘ก๐‘ฆ ๐‘ก๐‘œ ๐‘๐‘’๐‘๐‘œ๐‘š๐‘’ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘  (๐‘œ๐‘Ÿ ๐‘กโ„Ž๐‘’ ๐‘œ๐‘๐‘๐‘œ๐‘Ÿ๐‘ก๐‘ข๐‘›๐‘–๐‘ก๐‘ฆ ๐‘ก๐‘œ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ); ๐‘กโ„Ž๐‘’๐‘–๐‘Ÿ ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก ๐‘๐‘’๐‘Ÿ๐‘–๐‘œ๐‘‘ ๐‘–๐‘ ๐‘›โ€™๐‘ก ๐‘ ๐‘๐‘’๐‘›๐‘ก ๐‘œ๐‘› ๐‘ก๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘”, ๐‘กโ„Ž๐‘œ๐‘ข๐‘”โ„Ž ๐‘กโ„Ž๐‘’๐‘–๐‘Ÿ ๐‘“๐‘ข๐‘ก๐‘ข๐‘Ÿ๐‘’ ๐‘Ÿ๐‘’๐‘ž๐‘ข๐‘–๐‘Ÿ๐‘’๐‘  ๐‘ก๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘”, ๐‘›๐‘œ๐‘ก ๐‘–๐‘›๐‘“๐‘œ๐‘Ÿ๐‘š๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘Ž๐‘™๐‘œ๐‘›๐‘’.

๐ด๐‘๐‘๐‘œ๐‘Ÿ๐‘‘๐‘–๐‘›๐‘” ๐‘ก๐‘œ ๐‘ƒ๐‘Ÿ๐‘œ๐‘ฃ๐‘’๐‘Ÿ๐‘๐‘  22:6, ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘ ๐‘“๐‘ข๐‘™ ๐‘๐‘’๐‘œ๐‘๐‘™๐‘’ ๐‘Ž๐‘Ÿ๐‘’ ๐‘กโ„Ž๐‘œ๐‘ ๐‘’ ๐‘คโ„Ž๐‘œ ๐‘œ๐‘๐‘ก๐‘Ž๐‘–๐‘›๐‘’๐‘‘ ๐‘ก๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘” ๐‘Ž๐‘™๐‘™ ๐‘กโ„Ž๐‘’ ๐‘ค๐‘Ž๐‘ฆ ๐‘“๐‘Ÿ๐‘œ๐‘š ๐‘โ„Ž๐‘–๐‘™๐‘‘โ„Ž๐‘œ๐‘œ๐‘‘ (๐‘‡๐‘Ÿ๐‘Ž๐‘–๐‘› ๐‘ข๐‘ ๐‘Ž ๐‘โ„Ž๐‘–๐‘™๐‘‘ ๐‘–๐‘› ๐‘กโ„Ž๐‘’ ๐‘ค๐‘Ž๐‘ฆ โ„Ž๐‘’ ๐‘ โ„Ž๐‘œ๐‘ข๐‘™๐‘‘ ๐‘”๐‘œ: ๐‘Ž๐‘›๐‘‘ ๐‘คโ„Ž๐‘’๐‘› โ„Ž๐‘’ ๐‘–๐‘  ๐‘œ๐‘™๐‘‘, โ„Ž๐‘’ ๐‘ค๐‘–๐‘™๐‘™ ๐‘›๐‘œ๐‘ก ๐‘‘๐‘’๐‘๐‘Ž๐‘Ÿ๐‘ก ๐‘“๐‘Ÿ๐‘œ๐‘š ๐‘–๐‘ก.), ๐‘›๐‘œ๐‘ก ๐‘”๐‘’๐‘›๐‘’๐‘Ÿ๐‘Ž๐‘™ ๐‘’๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘œ๐‘Ÿ ๐‘คโ„Ž๐‘Ž๐‘ก๐‘’๐‘ฃ๐‘’๐‘Ÿ ๐‘ค๐‘’ ๐‘๐‘Ž๐‘™๐‘™ ๐‘–๐‘ก, ๐‘๐‘ข๐‘ก ๐‘‡๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘”!!

๐ถโ„Ž๐‘–๐‘™๐‘‘โ„Ž๐‘œ๐‘œ๐‘‘ ๐‘’๐‘›๐‘›๐‘œ๐‘๐‘™๐‘’๐‘  ๐‘กโ„Ž๐‘’ ๐‘ก๐‘–๐‘š๐‘’ ๐‘Ÿ๐‘’๐‘ž๐‘ข๐‘–๐‘Ÿ๐‘’๐‘‘ ๐‘“๐‘œ๐‘Ÿ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘ฆ ๐‘ก๐‘œ ๐‘ก๐‘Ž๐‘˜๐‘’ ๐‘๐‘™๐‘Ž๐‘๐‘’; ๐‘ก๐‘Ÿ๐‘Ž๐‘–๐‘›๐‘–๐‘›๐‘” ๐‘“๐‘Ÿ๐‘œ๐‘š ๐‘โ„Ž๐‘–๐‘™๐‘‘โ„Ž๐‘œ๐‘œ๐‘‘ ๐‘๐‘Ÿ๐‘’๐‘ฃ๐‘’๐‘›๐‘ก๐‘  ๐‘๐‘Ÿ๐‘’๐‘š๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘’ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘ฆ ๐‘Ž๐‘›๐‘‘ ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก; ๐‘’๐‘ฃ๐‘’๐‘Ÿ๐‘ฆ ๐‘‘๐‘Ž๐‘ค๐‘‘๐‘™๐‘–๐‘›๐‘”, ๐‘Ž๐‘‘๐‘ฃ๐‘Ž๐‘›๐‘๐‘’๐‘  ๐‘ ๐‘’๐‘ฃ๐‘’๐‘Ÿ๐‘’ ๐‘‘๐‘–๐‘“๐‘“๐‘–๐‘๐‘ข๐‘™๐‘ก๐‘–๐‘’๐‘  ๐‘ก๐‘œ๐‘ค๐‘Ž๐‘Ÿ๐‘‘๐‘  ๐‘ ๐‘ข๐‘๐‘๐‘’๐‘ ๐‘ .

๐Ÿฏ. ๐—œ๐—ป๐—ฐ๐—ผ๐—ด๐—ป๐—ถ๐˜‡๐—ฎ๐—ป๐˜ ๐—ฅ๐—ฒ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€:

Virtual Education in Africa

๐‘†๐‘œ๐‘š๐‘’ ๐‘–๐‘›๐‘ ๐‘ก๐‘–๐‘ก๐‘ข๐‘ก๐‘–๐‘œ๐‘›๐‘  ๐‘๐‘œ๐‘ ๐‘ก๐‘ข๐‘™๐‘Ž๐‘ก๐‘’ ๐‘ข๐‘›๐‘š๐‘–๐‘›๐‘‘๐‘“๐‘ข๐‘™ ๐‘Ÿ๐‘’๐‘“๐‘œ๐‘Ÿ๐‘š๐‘Ž๐‘ก๐‘–๐‘œ๐‘› ๐‘๐‘Ÿ๐‘œ๐‘”๐‘Ÿ๐‘Ž๐‘š๐‘  ๐‘ก๐‘œ ๐‘๐‘Ÿ๐‘–๐‘‘๐‘”๐‘’ ๐‘กโ„Ž๐‘’ ๐‘”๐‘Ž๐‘ ๐‘œ๐‘“ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘ฆ ๐‘Ÿ๐‘’๐‘ž๐‘ข๐‘–๐‘Ÿ๐‘’๐‘‘, ๐‘’๐‘ ๐‘๐‘’๐‘๐‘–๐‘Ž๐‘™๐‘™๐‘ฆ ๐‘“๐‘œ๐‘Ÿ ๐‘โ„Ž๐‘–๐‘™๐‘‘๐‘Ÿ๐‘’๐‘› ๐‘Ž๐‘›๐‘‘ ๐‘Ž๐‘‘๐‘ข๐‘™๐‘ก๐‘  ๐‘๐‘’๐‘ก๐‘ค๐‘’๐‘’๐‘› ๐‘กโ„Ž๐‘’ ๐‘Ž๐‘”๐‘’๐‘  13-18, ๐‘Ž๐‘›๐‘‘/ ๐‘œ๐‘Ÿ ๐‘Ž๐‘“๐‘ก๐‘’๐‘Ÿ ๐‘กโ„Ž๐‘’๐‘–๐‘Ÿ ๐‘ ๐‘ข๐‘๐‘๐‘œ๐‘ ๐‘’๐‘‘ ๐‘ก๐‘’๐‘Ÿ๐‘ก๐‘–๐‘Ž๐‘Ÿ๐‘ฆ ๐‘’๐‘‘๐‘ข๐‘๐‘Ž๐‘ก๐‘–๐‘œ๐‘› (๐‘ข๐‘›๐‘–๐‘ฃ๐‘’๐‘Ÿ๐‘ ๐‘–๐‘ก๐‘ฆ): ๐‘ค๐‘–๐‘กโ„Ž๐‘œ๐‘ข๐‘ก ๐‘“๐‘Ž๐‘๐‘ก๐‘œ๐‘Ÿ๐‘–๐‘›๐‘” ๐‘กโ„Ž๐‘’ ๐‘๐‘œ๐‘Ÿ๐‘’ ๐‘ก๐‘–๐‘š๐‘’ ๐‘–๐‘ก ๐‘ค๐‘œ๐‘ข๐‘™๐‘‘ ๐‘ก๐‘Ž๐‘˜๐‘’ ๐‘ก๐‘œ ๐‘๐‘Ÿ๐‘œ๐‘ฃ๐‘–๐‘‘๐‘’ ๐‘š๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘’ ๐‘Ÿ๐‘Ž๐‘กโ„Ž๐‘’๐‘Ÿ ๐‘กโ„Ž๐‘Ž๐‘› ๐‘๐‘Ÿ๐‘’๐‘š๐‘Ž๐‘ก๐‘ข๐‘Ÿ๐‘’ ๐‘‘๐‘’๐‘ฃ๐‘’๐‘™๐‘œ๐‘๐‘š๐‘’๐‘›๐‘ก ๐‘Ž๐‘›๐‘‘ ๐‘š๐‘Ž๐‘ ๐‘ก๐‘’๐‘Ÿ๐‘ฆ ๐‘“๐‘œ๐‘Ÿ ๐‘ ๐‘ข๐‘โ„Ž ๐‘๐‘’๐‘™๐‘Ž๐‘ก๐‘’๐‘‘ ๐‘ ๐‘–๐‘ก๐‘ข๐‘Ž๐‘ก๐‘–๐‘œ๐‘›๐‘ , ๐‘ก๐‘’๐‘โ„Ž๐‘›๐‘–๐‘๐‘Ž๐‘™ ๐‘๐‘Ÿ๐‘œ๐‘”๐‘Ÿ๐‘Ž๐‘š๐‘  ๐‘Ž๐‘Ÿ๐‘’ ๐‘๐‘œ๐‘›๐‘ ๐‘ก๐‘Ÿ๐‘ข๐‘’๐‘‘ ๐‘Ž๐‘›๐‘‘ ๐‘Ž๐‘š๐‘Ž๐‘ก๐‘’๐‘ข๐‘Ÿ (๐‘Ÿ๐‘œ๐‘œ๐‘˜๐‘–๐‘’) ๐‘๐‘Ÿ๐‘œ๐‘“๐‘’๐‘ ๐‘ ๐‘–๐‘œ๐‘›๐‘Ž๐‘™๐‘  ๐‘Ž๐‘Ÿ๐‘’ ๐‘ ๐‘’๐‘›๐‘ก ๐‘ก๐‘œ ๐‘—๐‘œ๐‘–๐‘› ๐‘กโ„Ž๐‘’ ๐‘ค๐‘œ๐‘Ÿ๐‘˜๐‘“๐‘œ๐‘Ÿ๐‘๐‘’ ๐‘ก๐‘œ ๐‘๐‘–๐‘Ÿ๐‘กโ„Ž ๐‘กโ„Ž๐‘’ ๐‘š๐‘œ๐‘ ๐‘ก ๐‘ ๐‘ก๐‘Ž๐‘”๐‘”๐‘’๐‘Ÿ๐‘–๐‘›๐‘” ๐‘–๐‘›๐‘’๐‘“๐‘“๐‘–๐‘๐‘–๐‘’๐‘›๐‘๐‘–๐‘’๐‘ !!!

๐“๐จ ๐ซ๐ž๐ฌ๐จ๐ฅ๐ฏ๐ž ๐ญ๐ก๐ž ๐š๐Ÿ๐จ๐ซ๐ž๐ฌ๐š๐ข๐ ๐ข๐ฌ๐ฌ๐ฎ๐ž๐ฌ ๐š๐ง๐ ๐›๐ซ๐ข๐๐ ๐ž ๐š๐ง ๐ข๐ฆ๐ฉ๐ซ๐ž๐ ๐ง๐š๐›๐ฅ๐ž ๐ ๐š๐› ๐ญ๐จ๐ฐ๐š๐ซ๐๐ฌ ๐š๐œ๐œ๐จ๐ฎ๐ง๐ญ๐š๐›๐ฅ๐ž ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ ๐š๐œ๐ซ๐จ๐ฌ๐ฌ ๐ญ๐ก๐ž ๐œ๐จ๐ง๐ญ๐ข๐ง๐ž๐ง๐ญ, ๐๐“๐‡ ๐„๐๐ฎ๐œ๐š๐ญ๐ข๐จ๐ง ๐†๐ซ๐จ๐ฎ๐ฉ ๐ก๐š๐ฌ ๐Ÿ๐จ๐ฌ๐ญ๐ž๐ซ๐ž๐ ๐ฏ๐š๐ซ๐ข๐จ๐ฎ๐ฌ ๐๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ฆ๐ž๐ง๐ญ๐š๐ฅ ๐ฐ๐š๐๐ฌ:

– ๐˜—๐˜ณ๐˜ฐ๐˜ง๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜Œ๐˜ข๐˜ณ๐˜ญ๐˜บ-๐˜Š๐˜ฉ๐˜ช๐˜ญ๐˜ฅ ๐˜Œ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ (๐˜—๐˜Œ๐˜Š๐˜Œ), ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ข๐˜ฏ ๐˜ฆ๐˜ด๐˜ฑ๐˜ฆ๐˜ค๐˜ช๐˜ข๐˜ญ ๐˜ง๐˜ฐ๐˜ค๐˜ถ๐˜ด ๐˜ฐ๐˜ฏ ๐˜ช๐˜ฏ๐˜ฅ๐˜ถ๐˜ด๐˜ต๐˜ณ๐˜บ ๐˜ท๐˜ช๐˜ณ๐˜ต๐˜ถ๐˜ฐ๐˜ด๐˜ช๐˜ต๐˜บ ๐˜ง๐˜ฐ๐˜ณ ๐˜๐˜› ๐˜ฆ๐˜ต ๐˜ข๐˜ญ, ๐˜ค๐˜ณ๐˜ข๐˜ง๐˜ต๐˜ด๐˜ฎ๐˜ข๐˜ฏ๐˜ด๐˜ฉ๐˜ช๐˜ฑ ๐˜ท๐˜ช๐˜ข ๐˜ข๐˜ฏ ๐˜ข๐˜ฅ๐˜ท๐˜ข๐˜ฏ๐˜ค๐˜ฆ๐˜ฅ ๐˜ฑ๐˜ฆ๐˜ณ๐˜ด๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜ฅ๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต ๐˜ฑ๐˜ข๐˜ต๐˜ฉ: ๐˜ฉ๐˜ต๐˜ต๐˜ฑ๐˜ด://๐˜ฃ๐˜ต๐˜ฉ๐˜ฆ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜จ๐˜ณ๐˜ฐ๐˜ถ๐˜ฑ.๐˜ฐ๐˜ณ๐˜จ/๐˜ฑ๐˜ณ๐˜ฐ๐˜ง๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ-๐˜ฆ๐˜ข๐˜ณ๐˜ญ๐˜บ-๐˜ค๐˜ฉ๐˜ช๐˜ญ๐˜ฅ-๐˜ฆ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ

– ๐˜๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฏ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜Š๐˜ฐ๐˜ณ๐˜ฑ๐˜ฐ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜‹๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต ๐˜—๐˜ณ๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฎ : ๐˜ข๐˜ฏ ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฏ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜ข๐˜ฅ๐˜ท๐˜ข๐˜ฏ๐˜ค๐˜ฆ๐˜ฅ ๐˜ณ๐˜ฆ๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ฑ๐˜ณ๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฎ ๐˜ง๐˜ฐ๐˜ณ ๐˜ค๐˜ฐ๐˜ณ๐˜ฑ๐˜ฐ๐˜ณ๐˜ข๐˜ต๐˜ฆ ๐˜ฅ๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต . (+18) : ๐˜ฉ๐˜ต๐˜ต๐˜ฑ๐˜ด://๐˜ฃ๐˜ต๐˜ฉ๐˜ฆ๐˜ฅ๐˜ถ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜จ๐˜ณ๐˜ฐ๐˜ถ๐˜ฑ.๐˜ฐ๐˜ณ๐˜จ/๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฏ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ-๐˜ค๐˜ฐ๐˜ณ๐˜ฑ๐˜ฐ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ-๐˜ฅ๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต-๐˜ช๐˜ค๐˜ฅ

๐…๐จ๐ซ ๐ฆ๐จ๐ซ๐ž ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐š๐›๐จ๐ฎ๐ญ ๐๐“๐‡ ๐„๐๐ฎ๐œ๐š๐ญ๐ข๐จ๐ง ๐†๐ซ๐จ๐ฎ๐ฉ, ๐ฏ๐ข๐ฌ๐ข๐ญ, ๐ฐ๐ฐ๐ฐ.๐›๐ญ๐ก๐ž๐๐ฎ๐œ๐š๐ญ๐ข๐จ๐ง๐ ๐ซ๐จ๐ฎ๐ฉ.๐จ๐ซ๐ 

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