The Silk Road was established by China's Han Dynasty due to territorial expansion and it was used majorly for trade and cultural transmission route
- The Silk Road was established so that it can be used for different types of trade and cultural transmission routes that were central to cultural interaction between the West and East.
- It was important because it allowed for the exchange of goods between Asia and the Middle East. Traders often combined sea and land routes and it was located in Asia
From the above. we can say the answer The Silk Road was established by China's Han Dynasty due to territorial expansion and it was used majorly for trade is correct
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The death of archduke Francis Ferdinand of Hungary was the initial cause of ww1. However there was a build up to ww1. Countries had new powerful weapons and wanted to capitalise on this. The navy’s of many countries were being expanded. Political disagreements between countries led to increased tensions.
Answer:
1) Harry Truman made a policy of containment known as the Truman Doctrine
2) the us fought many 'proxy wars: for example, in the Vietnam war, where North Vietnam fought against south Vietnam, the USA supported the south
3) the us tried to fight the cold war by demonstrating their power and technology. one example would be where each side tried to have their best weapons and the most nuclear bombs. another example is the space race where each side tried to show that it had the better scientists and technology by accomplishing certain space missions first
Any male who registered with their deme became a citizen so they could participate in the new council of 500
Answer:
Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data.
A machine-learning model is the output generated when you train your machine-learning algorithm with data. After training, when you provide a model with an input, you will be given an output. For example, a predictive algorithm will create a predictive model. Then, when you provide the predictive model with data, you will receive a prediction based on the data that trained the model.
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