Learn how a bike rental company can use historical data and machine learning to create a predictive model that estimates the daily rental demand for bikes.
Question
A bike rental company can use historic data to train a model that predicts daily rental demand in order to make sure sufficient staff and cycles are available. True or False?
A. True
B. False
Answer
A. True
Explanation
A regression model can fulfil this task.
The correct answer is A. True. A bike rental company can use historic data to train a model that predicts daily rental demand in order to make sure sufficient staff and cycles are available. This is an example of using machine learning to create a predictive model based on historical data. Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. A predictive model is a mathematical function that estimates the probability or outcome of an event based on input data. Historical data is data that has been collected in the past and can be used to analyze trends, patterns, or relationships.
To train a predictive model, a bike rental company can use historical data such as weather, season, day of the week, holidays, events, and previous rental demand to identify the factors that influence the number of customers who rent bikes on a given day. The model can then learn the relationship between these factors and the rental demand using a machine learning algorithm such as linear regression, decision tree, or neural network. The model can then be tested and validated on new or unseen data to evaluate its accuracy and performance. Once the model is trained and validated, it can be used to predict the rental demand for future days based on the input data. This can help the bike rental company to plan ahead and optimize their resources, such as staff, cycles, inventory, and maintenance.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
Alex Lim
Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook
