Answer:
I like to go to learn driving everyday. I love driving car and go to mountains. I have a dream to have my own car and then go for long drives near the sea coast.
Explanation:
1. The decision to make is to buy a car to fulfill the hobby.
2. The main objective is to enjoy the favorite activity and pleased by the beauty of mountains and sea.
3. The main constraints are financial constraint. Money is required to buy a car and then fulfill the dream.
Answer:
a. of widespread entrepreneurship.
Explanation:
According to the Institute for Management Development, a business education school that is situated in Lausanne, Switzerland. In its annual rankings on the performance of 63 economies across the globe. In 2018 rated the United States of America as the topmost economy in competitiveness. Based on various data gathered and surveyed, the education school cited "widespread entrepreneurship" as the major reason behind it.
Answer:
The correct answer is letter "A": managerial mistakes or self-interest.
Explanation:
Leveraged buyouts or LBOs carry a mixed image in the corporate world. An LBO is a way to buy a business with funds that are almost entirely lent by loans or bonds. Under certain instances, the company's properties being borrowed are used as collateral for the loans. That allows companies to make major acquisitions without investing a lot of money.
However, <em>LBOs are mostly considered managerial mistakes because of the large amount of debt the firm incurs without certainty that the combined operations of the companies will generate enough revenue for repayment and profit.</em>
Answer: Attitude inoculation
Explanation:
Attitude inoculation is referred to as the technique or method which is used in order to make an individual immune to the attempts taken in order to change the attitude thereby firstly exposing themselves to the small arguments taken against their position. It is referred to as so since it tends to works similarly like a medical inoculation, that exposes an individual's body to the weaker state of the virus.
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
