answer:As of 2021, according to worldpopulationreview.com, the ten most densely populated cities in the world are: 1. Manila, Philippines: The population density of Manila is 41,515 people per square kilometer (107,561/square mile). 2. Mumbai, India: The population density of Mumbai is 31,700 people per square kilometer (82,046/square mile). 3. Dhaka, Bangladesh: This city has a population of 8,906,039 people living in an area of just 306.38 square kilometers, giving it a population density of 29,069 per square kilometer (75,249/square mile). 4. Caloocan, Philippines: Over 1.5 million people live here in just 53.9 square kilometers of land, resulting in a population density of 28,387 people per square kilometer (73,563/square mile). 5. Kolkata, India: The city has a population density of 24,000 people per square kilometer (62,279/square mile). 6. Karachi, Pakistan: Karachi has a population density of 23,500 people per square kilometer (60,869/square mile). 7. Baghdad, Iraq: The city’s population density is 23,000 people per square kilometer (59,495/square mile). 8. Bogota, Colombia: The city is home to over 7 million people in just 306.11 square kilometers of land, giving it a population density of 22,734 per square kilometer (58,826/square mile). 9. Lagos, Nigeria: Lagos has an area of 907 square kilometers and a population of almost 9 million, resulting in a population density of about 13,209 people per square kilometer. 10. Shenzhen, China: The city has a population of over 12 million people living in an area of 1,997 square kilometers, giving it a population density of about 12,000 people per square kilometer.

answer:Here are the steps to insert a formula into a table in Microsoft Word: 1. Open your Microsoft Word document and navigate to the table where you want to insert the formula. 2. Click inside the cell where you want to display the result of the formula. 3. Go to the "Layout" tab in the Table Tools section of the ribbon. 4. Click on the "Formula" button, which is located in the "Data" group. A Formula dialog box will open. 5. In the "Formula" field, type in the formula you want to use. You can also choose from some of the commonly used formulas by clicking the drop-down arrow next to the "Paste function" field. 6. Select the "Number format" that you want to apply to the result of the formula from the drop-down menu (e.g. "General", "Currency", "Percent"). 7. Click "OK" to close the dialog box and insert the formula into the selected cell. 8. Microsoft Word will automatically calculate the result of the formula and display it in the selected cell. Note that these steps are applicable to Microsoft Word 2016 and newer versions. The exact steps may vary slightly for older versions of the program.

answer:Input data refers to the data provided to a system or program for the purpose of analysis or processing while output data refers to the results generated after processing or analyzing input data. Examples of input and output type data across different fields are listed below. In a school setting: - Input data: Student's scores in exams, homework, and class participation. - Output data: Student's overall grade for a subject/course. In a weather forecasting system: - Input data: Data from weather measurement instruments such as temperature, humidity, wind speed, and air pressure. - Output data: The weather forecast, which can be in the form of a graphical representation of the weather for a period of time or a detailed report. In a financial analysis software: - Input data: Company financial information such as revenue, operating expenses, capital expenditures, taxes. - Output data: Financial ratios, charts, and graphs showing the company's financial health and areas for improvement. In an online movie recommendation system: - Input data: User's movie ratings and preferences, as well as search and navigation history. - Output data: A list of recommended movies for the user based on their taste and search history. In a healthcare system: - Input data: Patient's medical records, including test results, medications, and medical history. - Output data: Patient's diagnosis, treatment plan, and medication schedule.

answer:Gradient Descent is an optimization algorithm commonly used to find the optimal values of parameters of machine learning models such as coefficients in regression analysis or weights in neural network. The algorithm works by iteratively adjusting the values of these parameters in order to find the minimum of a cost function, which is a measure of how poorly our model is performing. The gradient descent algorithm begins by initializing the parameters with a random value. Then, in each iteration, the algorithm computes the gradient of the cost function with respect to the parameters. The gradient gives us the direction in which the cost function is increasing most rapidly. We then take a step in the opposite direction by subtracting the computed gradient from the current values of the parameters, effectively moving towards the minima in each iteration. The size of the step we take is determined by the learning rate, a hyperparameter that controls how fast the model learns. A smaller learning rate means that we take smaller steps and may need more iterations to converge to the optima, while a larger learning rate means that we take larger steps, and may converge faster or overshoot and fail to converge at all. Gradient descent can be applied in many variations, including batch gradient descent, stochastic gradient descent, and mini-batch gradient descent, where the algorithm processes the training examples in different manners to update the parameters.