Answer:
Business applications of Convolutional Neural Networks. Image Classification - Search Engines, Recommender Systems, Social Media. Face Recognition Applications of RNN is Social Media, Identification procedures, Surveillance. Legal, Banking, Insurance, Document digitization - Optical Character Recognition.
On the File menu, point to New, and then choose Outlook Data File. Click Office Outlook Personal Folders File (. pst), and then select OK. In the Create or Open Outlook Data File dialog box, in the File name box, enter a name for the file, and then choose OK.
Answer:
In IT sector IT manager decides to have a JDA(joint Application Development) session first he has to keep the leader for it, The leader must be well educated and highly professional based experienced regarding the sector that he is dealing with it. JAD team will participate in discussions and plan to develop the criteria etc., There must be minimum of 3 to 4 members are needed for the discussion and provide support. The main agendas of the JAD session are
Agenda and different stages:
First they introduce the JAD members and see the requirements. They discuss the reason for the project and management. After that they provide clear view on the project and overview and discuss up to the clarification. Review the project and divide team members in to 2 to 3 members and allocate for the particular work. Discuss and develop all requirements and provide prototypes and all. finally report and prepare documentation and send it to the JAD team.
The main roles of the JAD team are: Managers who are provided for this team must research and provide the information on the particular project. Users who provide d information must see the line and developing level. The system analysis and object it managers look after issues, backups etc.,
Explanation:
See attached picture.
Answer:
I am writing a python program for this.
def deal3(input_list, index):
list = []
for x in range(len(input_list)):
if x != index:
list.append(input_list[x])
print('list ->',list)
input_list = [10, 20, 30, 40, 50]
index = 2
deal3(input_list, index)
Explanation:
- The first line of code defines a function deal3 which has two parameters. input_list which is an input list and index is the position of elements in the input list.
- next statement list=[] declares a new list that will be the output list.
- next statement for x in range(len(input_list)): is a loop which the loop variable x will traverse through the input list until the end of the input list is reached.
- the next statement if x != index: checks if x variable is equal to the position of the element in the list.
- Next statement list.append(input_list[x]) appends the elements of input list to list( new list that will be the output list). Now the output list will contain all the elements of the input list except for the element in the specified position (index variable).
- this statement print('list ->',list) prints the list (new output list).
- this statement input_list = [10, 20, 30, 40, 50] insert elements 10 20 30 40 50 in the input list.
- index=2 specifies the second position (3rd element) in the list that is to be removed.
- deal3(input_list, index) So the function is called which will remove 3rd element of the input list and prints output array with same elements as that in input array except for the element at the specified position.
