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Consider The Following Machines. Identify The Type Of Machine And Explain Your Reasoning

Using the key choices, correctly identify the survival needs to correspond to the following description.?

1. C
2. D, B
3. E
4. D
5. E, C
6. A

I don't know if you're allowed to answer with more than one letter, but a few of them overlap. Here's my reasoning on the above:
1: kind of self-explanatory.
2: oxygen is obviously vital for function to the respiratory system, but a lack of pressure (which limits the amount of O2 you're exposed to) can also kill you.
3: Again, obvious.
4: mitochondria produce energy via oxidative phosphorylation, which uses oxygen. Water is produced, but not used in this process.
5: You need both water and nutrients to produce a bodily fluid. Without nutrients (in some form) it'd just be water, and without water it wouldn't be a liquid.
6: The reason the body has homeostasis.

Consider the following machines. identify the type of machine and explain your reasoning?

if the machine is a lever, identify the class of leaver

letter opener

a wheelchair access ramp

an oar in a rowbot

a nutcracker designed with its hinge at one end, nut in the middle and grip at the other end.

THX

What can a person do (in the career) if his abstract reasoning percentile is 98?

This aptitude test measures a person's ability to reason with abstract ideas, and is a measure of non-verbal, non-numerical reasoning power. It is concerned with being able to perceive patterns among complex elements and to be able to see how those elements relate to each other, for example, patterns, diagrams or designs rather than words and numbers.The ability to think in abstract terms is needed for work which involves seeing relationships between things: either in a logical sense or in a practical sense. It is therefore useful for fields such as computer programming and software design, mathematics, science and engineering. It can also be useful in areas such as technical maintenance, which involves understanding how parts of a machine or system relate to one another.Abstract reasoning is also important for working in the field of design, since design is often concerned with the expression of abstract ideas or themes. Finally, abstract reasoning can also be very important in management, especially at the higher levels where one needs to see how the different parts of a complex organisation fit together.Subjects that benefit most from high scores: Physics, Chemistry, Biology, Music, History, Art, Applied Maths.

1.Does the melting point range change as the heating rate changes? If so, is there a direct or inverse relat.?

1. Does the melting point range change as the heating rate changes? If so, is there a direct or inverse relationship? Give a reasoned hypothesis to explain your observations.

2. Is the melting point enough to definitely identify your compound? Explain your answer and give an actual example.

3. List four additional physical methods that can be used to help identify your compounds defintively.

What are the main differences between artificial intelligence and machine learning? Is machine learning a part of artificial intelligence?

To the point question. The answer is to this is, that there is a BIG difference between machine learning and artificial intelligence.Note: The answer is completely non-technical and it doesn’t involve technical jargon. Anyone wanting to know the difference can read and gain some knowledgeArtificial Intelligence (AI) is an umbrella that holds other fields like image processing, coginitive science, neural networks and much more. Machine Learning (ML) is also a part of this umbrella. It is a subset of Artificial Intelligence.AI deals with more generic problems of automating a system. This automation can be done by using any field as mentioned above which includes, image processing, neural networks, machine learning or other. What AI deals with making machines, systems and other devices smart by giving them the ability to think and do tasks as we humans do. This is what the bottom line of AI states.Whereas, Machine Learning (ML) deals with making your machine learn from the external environment. This external environment can be in the form of sensors, electornic components, external data storage devices and many other. What ML does is, based on the user input or a query by the user, the system checks whether it is present in the knowledge base or not. If it is present, it will return the result to the user associated with that query, but if it is not stored initially, the machine will learn the user input and will improve its knowledge base, so as to provide better value to the end user.ML and AI are completely different. AI is more generic, while ML is more specific which deals with classification, clustering, prediction and other operations. AI deals with images, multimedia data, neural networks, expert systems and other fields which work based on the type of data that you have and also based on what the end result should be.ML and AI both provide high accuracy to the end user (if used efficiently and if the knowledge base is adequate enough to provide high value).That’s what the basic difference is between Artificial Intelligence (AI) and Machine Learning (ML)To know more on artificial intelligence, machine learning and other related technology information, you can take a look at TechnoITWorldHope this helps. Thank you! :)

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