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How Does Machine Learning Work?   According to UC Berkeley   the learning system of a machine learning algorithm can be divided into three main components:   1. Decision Process: Machine learning algorithms are designed to make predictions or classifications. Given some input data, which can be either labeled or unlabeled, the algorithm generates an estimate based on patterns it identifies in the data.   2. Error Function: This function evaluates the model's predictions. If there are known examples, the error function compares the model's output to these examples to determine the accuracy of the predictions.   3. Model Optimization Process: To improve the model's fit to the training data, weights are adjusted to minimize the difference between the actual examples and the model's predictions. The algorithm continuously performs this iterative "evaluate and optimize" process, autonomously updating weights until it achieves a desired leve

Digital currency is a type of currency that is available only in digital or electronic form, not in physical form like paper money or coins. It can be used for transactions over the internet and in digital spaces. Here are some key points about digital currency: this is an imaginary image of a bitcoin blockchain system Forms of Digital Currency: Cryptocurrencies: Decentralized digital currencies that use cryptography for security (e.g., Bitcoin, Ethereum). Central Bank Digital Currencies (CBDCs): Digital currencies issued by a central bank, representing a country's official currency in digital form. Virtual Currencies: Digital currencies used within specific virtual communities or online gaming environments. Electronic Money (e-money): Digital equivalents of physical cash stored on electronic devices or systems. Characteristics: Decentralization: Many digital currencies, especially cryptocurrencies, operate