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.
The answer to the question above is this: <span>they spent their days lying on their backs in cribs. Wayne Dennis has studied infants in Iranian orphanages. The infants in these orphanages were more on left lying on their backs on their cribs and this results in the delay of their physical development such as walking and other physical activities. This made the children in the orphanages walk at the age of 3 to 4 instead of 1 year old or earlier.</span>
Cube utilization is the calculation which determines the total space used in storage.
Cube utilization is expressed as a percentage between 0% - poor and 100% - excellent, accordingly. So if you have filled every available spot in your warehouse with product, then you have 100 percent warehouse cube utilization.
Cube utilization is related to benefit reducing transportation costs, as effective cube utilization significantly lowers freight and supply chain costs. Cubing and weighing equipment helps companies make better use of their warehouse space, cut shipping costs and reduce errors.
Hence, in order to improve cube utilization, products should be shipped in bulk form to avoid packaging.
To learn more about transportation costs here:
brainly.com/question/28168850
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In 2003 the presidents of the African countries of Mali and Burkina Faso <span>requested that rich countries apply free trade rules to those products where poor countries have a proven competitive advantage.</span><span>
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