Learn from Internet

网络学习资源整理

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### Machine Learning Task The task where algorithms produce data and learn from experience to react to the environment is generative learning. In generative learning, models like the one described in the reference, which uses progressively learned deep convolutional neural networks, generate samples and learn by evaluating the difference between the generated samples and the training data. For example, the model learns a sequence of CNN classifiers using a synthesis - by - classification algorithm and can be applied to tasks such as texture modeling, artistic style transferring, face modeling, and unsupervised feature learning [^3]. ### Internet of Things (IoT) Concept When sensors are embedded in multiple devices that can connect to the Internet, it is called the Internet of Things (IoT). The example in the reference shows Google's data center cooling system, where thousands of sensors are used, and a cloud - based AI pulls data from these sensors every five minutes. The system then uses this data to predict energy consumption and take actions to save energy, which is a typical IoT application [^1]. ### Accounting Information System Business Process The business process/transaction cycle where information for retiring long - term debt most likely passes through the accounting information system is the financing cycle. The financing cycle deals with activities related to obtaining and repaying funds, such as long - term debt issuance and retirement. ### Recommendation System Type The type of recommendation systems that represent each user by a vector of items with values based on user ratings is the collaborative filtering recommendation system. In collaborative filtering, user - item matrices are created where the values are based on user ratings, and vectors representing users are used to find similar users and make recommendations. ### Distributed Ledger Definition A distributed ledger created using cryptography is a blockchain. Blockchain uses cryptographic techniques to ensure the integrity and security of the data stored in the distributed ledger. Each block in the chain is cryptographically linked to the previous one, and transactions are verified and recorded across multiple nodes in the network. ```python # Example of a simple function related to data generation in machine learning import numpy as np def generate_synthetic_data(num_samples, num_features): return np.random.randn(num_samples, num_features) data = generate_synthetic_data(100, 5) print(data.shape) ```
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