No, university is not only about learning. While learning is a significant aspect of university education, it is also a time for personal growth, developing critical thinking skills, building relationships, and exploring new interests. University provides opportunities for students to engage in extracurricular activities, internships, and research projects that contribute to their overall development and preparation for the future. Additionally, university is a place where students can network, gain practical skills, and discover their passions. **

No, data can be collected and stored both online and offline. Offline data can be gathered through surveys, interviews, observations, and other methods that do not require an internet connection. Online data, on the other hand, is collected through websites, social media platforms, online surveys, and other digital sources. Researchers often use a combination of online and offline data collection methods to ensure a comprehensive and accurate dataset. **

No, there is not only software for online shopping. While software plays a crucial role in facilitating online shopping experiences, there are also other components involved such as website design, payment gateways, security protocols, and customer service systems. Additionally, hardware like servers and databases are essential for running online shopping platforms smoothly. Therefore, a combination of software and hardware is required to create a seamless online shopping experience for customers. **

No, Rebuy offers a wide range of products, including not only software but also electronics, video games, books, and more. Customers can find both new and used items on Rebuy's platform, giving them a variety of options to choose from. The availability of different product categories makes Rebuy a convenient one-stop shop for various shopping needs. **

The Apriori algorithm is associated with data mining. It is a classic algorithm used for association rule mining in large datasets. It is specifically used to identify frequent itemsets in transactional databases. While it is often used in the context of machine learning tasks, its primary application is in data mining for discovering patterns and relationships in data. **

Data science and machine learning are not just trends from AI hype, but rather essential fields that have become increasingly important in various industries. Data science involves extracting insights and knowledge from data, while machine learning focuses on developing algorithms that can learn from and make predictions based on data. Both fields have proven to be valuable in solving complex problems and making data-driven decisions, making them more than just passing trends from AI hype. **

Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models. **

To only use mobile data on your device, you can disable your Wi-Fi connection and ensure that your mobile data is turned on. On most smartphones, you can do this by swiping down from the top of the screen to access the quick settings menu and then tapping on the mobile data icon to enable it. Once your mobile data is turned on and Wi-Fi is disabled, your device will only use mobile data for internet connectivity. Keep in mind that using only mobile data may consume your data plan, so it's important to monitor your usage to avoid overage charges. **