An error commonly made by beginning programmers is to forget that array subscrip
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An error commonly made by beginning programmers is to forget that array subscripts start with the integer?
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Create a discussion thread (with your name) and answer the following question:
Discussion 2 (Chapter 2): Discuss the proce ...
CU The Process that Generates the Power of AI Discussion
Create a discussion thread (with your name) and answer the following question:
Discussion 2 (Chapter 2): Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.
Reply to Post 1
The development of AI over the years has driven mainly by the focus to mimic the brain of man. This search yielded results when Machine Learning was invented. Machine learning has been taught to perform tasks just like man, observe, categorize, and learn from mistakes. The research and growth of AI has been divided into two branches, namely; Applied AI and Generalized AI (Marr, 2018). Applied AI duplicates the man's brain to perform one task while generalized AI pursues to invent machine intelligence to manage more than a specific job, just like a human being.
Machine learning is used to define any form of computer that can learn by itself, without any human intervention. The main idea of Machine Learning is to train computers to learn by themselves. This is possible by introducing the algorithms to make decisions on their own. Machine Learning helps a system to study, recognize ad make predictions of patterns. When compared to deep learning, Machine Learning is quite affordable (Kapoor, 2019).
Deep learning is a form of machine learning that uses either supervised or unsupervised algorithms or both the algorithms. The deep learning algorithms are motivated by human brain processing patterns. The word deep originates from the many deep layers of neural networks.
Deep learning has become popular due to its ability to speed up solutions to problems majorly experienced in computer vision and Natural Language Processing. Deep learning depends on the feature learning division of machine learning. The main difference that exists between the two is that Machine learning is manual, while deep learning is automatic. Deep learning requires large amounts of training data and big machines while as opposed to Machine Learning.
Reply to Post 2
The concept of artificial intelligence has been developed to eliminate the burden of huge processing task that are to be done by human. That means by making use of the simple concept of re-creating human brain or by providing the ability to think to a machine lot of work done by human can be automated. For this process of making machine learning possible duplication of artificial intelligence has to be done in a perfect manner with the use of high-quality data. That means the key process behind the power of artificial intelligence is the data quality that has been used for helping the machine learn about the task that it has to do. The result of the end by application of artificial intelligence will be good only when the data quality is good.
.
Machine learning is done by application of a set of algorithms for analysis and interpretation of data by which the mission will be learning the things that it has to do and this will be used for making best possible decisions. In the process of developing deep learning we make use of algorithms in multiple layers by which the creation of artificial neural network that represents human brain structure is done. This process of creating a neural network will help in learning from the data through which intelligent decisions can be made by the machine on it's own. Machine learning process will require less data and less time because the CPU will be performing a limited set of task only. For development of a deep learning network we will require huge volumes of data and this can take a long time for the machine to get trained because the GPU have to be used for proper training and the output has to be free from any kind of flaws. Advani (2020) states that “deep learning means a machine which learns by itself by multiple trial and error methods. Often a few hundred million times!”
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9 pages
Comprehensive It Project
When organizations are hiring staff and workers, they look for specific skills, which will be appropriate for the producti ...
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CU The Process that Generates the Power of AI Discussion
Create a discussion thread (with your name) and answer the following question:
Discussion 2 (Chapter 2): Discuss the proce ...
CU The Process that Generates the Power of AI Discussion
Create a discussion thread (with your name) and answer the following question:
Discussion 2 (Chapter 2): Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.
Reply to Post 1
The development of AI over the years has driven mainly by the focus to mimic the brain of man. This search yielded results when Machine Learning was invented. Machine learning has been taught to perform tasks just like man, observe, categorize, and learn from mistakes. The research and growth of AI has been divided into two branches, namely; Applied AI and Generalized AI (Marr, 2018). Applied AI duplicates the man's brain to perform one task while generalized AI pursues to invent machine intelligence to manage more than a specific job, just like a human being.
Machine learning is used to define any form of computer that can learn by itself, without any human intervention. The main idea of Machine Learning is to train computers to learn by themselves. This is possible by introducing the algorithms to make decisions on their own. Machine Learning helps a system to study, recognize ad make predictions of patterns. When compared to deep learning, Machine Learning is quite affordable (Kapoor, 2019).
Deep learning is a form of machine learning that uses either supervised or unsupervised algorithms or both the algorithms. The deep learning algorithms are motivated by human brain processing patterns. The word deep originates from the many deep layers of neural networks.
Deep learning has become popular due to its ability to speed up solutions to problems majorly experienced in computer vision and Natural Language Processing. Deep learning depends on the feature learning division of machine learning. The main difference that exists between the two is that Machine learning is manual, while deep learning is automatic. Deep learning requires large amounts of training data and big machines while as opposed to Machine Learning.
Reply to Post 2
The concept of artificial intelligence has been developed to eliminate the burden of huge processing task that are to be done by human. That means by making use of the simple concept of re-creating human brain or by providing the ability to think to a machine lot of work done by human can be automated. For this process of making machine learning possible duplication of artificial intelligence has to be done in a perfect manner with the use of high-quality data. That means the key process behind the power of artificial intelligence is the data quality that has been used for helping the machine learn about the task that it has to do. The result of the end by application of artificial intelligence will be good only when the data quality is good.
.
Machine learning is done by application of a set of algorithms for analysis and interpretation of data by which the mission will be learning the things that it has to do and this will be used for making best possible decisions. In the process of developing deep learning we make use of algorithms in multiple layers by which the creation of artificial neural network that represents human brain structure is done. This process of creating a neural network will help in learning from the data through which intelligent decisions can be made by the machine on it's own. Machine learning process will require less data and less time because the CPU will be performing a limited set of task only. For development of a deep learning network we will require huge volumes of data and this can take a long time for the machine to get trained because the GPU have to be used for proper training and the output has to be free from any kind of flaws. Advani (2020) states that “deep learning means a machine which learns by itself by multiple trial and error methods. Often a few hundred million times!”
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The Chief Operating Officer (COO) has tasked you to provide recommendations on the technologies within your environment th ...
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