In Week 1, you discussed the systems requirements. In Week 2, you discussed the design plan. In Week 3, you created the required elicitation techniques. This week, you will continue working on the solution you have envisioned so far. The work that will be added this week will increment the information you have produced, complementing it in a coherent manner. Tasks: Add to the Microsoft Word document you created in W3 Project to complete the following tasks: Create the use-case model diagrams for two (2) subjects. Create use-case descriptions for at least two of the use cases you are using in each of your use-case models. The use cases will comprise the following components: Use case title  Brief description Flow of events (this is a detailed diagram capturing the internal flows for the use case) Special requirements Precondition Postconditions Extensions Relationships Start creating an object-oriented (OO) class diagram for your system using a tool of your choice. The OO class diagram will include key attributes (data-items), operations (behaviors), and any generalization relationships between classes you would like to highlight. Support your responses with appropriate research and examples. Cite any sources in APA format.

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!”

InstructionsPart 1: Project Plan Inception base on the hypothetical tea company (3 pages) (see attachments) Describe the key elements of your e-commerce company's information systems infrastructure. Develop a high-level block diagram of your e-commerce company's information systems infrastructure.Use sources to support your writing.Part 2: Supporting Gantt ChartCreate a Gantt chart identifying the major and minor tasks, illustrating dependency relationships between activities.