Data plays a crucial role in AI-based applications by providing the foundation for training machine learning models. The quality and quantity of data determine the performance and accuracy of AI models. Data is used to train, test, and validate models so they can make predictions, classifications, or decisions based on patterns learned from the data. Two sources of online data collection for AI applications are:
1. Web Scraping: Collecting data from websites, blogs, or forums to gather text, images, and other information.
2. Public Datasets: Many organizations and institutions publish datasets that can be used for training AI models, such as Kaggle, UCI Machine Learning Repository, and government databases.
There is a circular park of diameter 65 m as shown in the following figure, where AB is a diameter. An entry gate is to be constructed at a point P on the boundary of the park such that distance of P from A is 35 m more than the distance of P from B. Find distance of point P from A and B respectively.
You have three aqueous solutions A, B, and C as given below:
A - Potassium nitrate
B - Ammonium chloride
C - Sodium carbonate
The ascending order of the pH of these solutions is: