Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
Read more on machine learning (ML) here: brainly.com/question/25523571
One was, synthetic fabrics
Answer:
A. Earth's rate of rotation and revolution
Answer:
True
You don't need sugar for energy. Carbo hydrates and protiens gets converted into glucose for energy. Whereas if you eat sugar it will mess with your glucose level in blood. It is linked with diseases and health hazards such as type 2 diabetes, heart diseases,obesity,cognitive dysfunction in children, aging faster,etc.
Morever as you age your body can't handle too much spike in blood sugar leading to t2d(insulin resistivity /low production of insulin).
Also as sugar crosses brain barrier easily, it will cause several brain diseases eventually.
