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.
You would choose the last one. In two months, you make more money thank you would in those two years for the first man.
When the government transfer resources to the poor in the form of a good or service it is called an in-kind transfer.
Many countries government provide large in-kind transfer resources to the poor in the form of a good or service. These transfers are commonly referred to as government redistribution programs, presumably from the wealthy to the poor.
The term in-kind transfers generally refers to goods, services, and transactions not involving money or not measured in monetary terms are transferred to the needy.
Hence, the in-kind transfers is based on the idea that governments want to target transfers to the needy.
To learn more about in-kind transfer here:
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Answer:
this would cause total costs to Increase and the break-even quantity to Increase.
Explanation:
Total Cost is the Sum of All Manufacturing and Non-Manufacturing Cost of a product.
Advertising expense before adjustments are at $500. The cost of advertising does not vary with the sales quantities therefore this is a fixed cost.
Therefore an Increase in the advertising expense causes an increase in Total cost figure.
Break even quantity is a function of Fixed Costs divided by Contribution per unit.The break even quantity will definitely change. By increasing the fixed costs (<em>Advertising Expense</em>), the Break even quantity will increase.
