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Logarithms are mathematical operations that are the inverse of exponentiation. In other words, if we have a base b and an exponent x, the logarithm of the resulting number y to the base b is x. This can be written as log_b(y) = x. For example, the logarithm of 1000 to base 10 is 3, because 10^3 = 1000. Similarly, the …
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Decorator is a design pattern to extend the functionality of a function without modifying the structure of the original function. Decorators are usually applied to functions using the @decorator syntax, immediately before the function definition. Example of how to use a decorator to extend the functionality of a …
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Very deep neural networks with a massive number of parameters are very robust machine learning systems. But, in this type of huge network, overfitting is a common serious problem. Learning how to deal with overfitting is essential to mastering machine learning. The fundamental issue in machine learning is the tension …
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Breadth-first search (BFS) and depth-first search (DFS) are two algorithms for traversing graphs. These algorithms are used to search for specific nodes or to find the shortest path between two nodes in a graph. BFS The breadth-first search (BFS) algorithm is a graph traversal algorithm that explores all of the …
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Check Prime Number A prime number is a positive integer greater than 1 that has no positive integer divisors other than 1 and itself. For example, the first six prime numbers are 2, 3, 5, 7, 11, and 13. The number 6 is not a prime number because it has more than two positive integer divisors. In fact, the divisors of 6 …
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What's the architecture of Django framework? The architecture of Django is based on the Model-View-Controller (MVC) pattern, which is a way of organizing code in a web application. In Django, this pattern is modified slightly and is referred to as Model-View-Template (MVT). Here's a simple explanation of each component …
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Transfer learning is a technique in machine learning that allows a model trained on one task to be reused and fine-tuned for another similar task. The idea behind transfer learning is that a model that has already learned to recognize patterns in one set of data can be applied to a different but related problem, …
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Dependency injection is a design pattern that is widely used in software development to promote good software design and make code more flexible and easier to test. In this blog post, we will take a closer look at what dependency injection is, how it works, and its advantages. What is Dependency Injection? Dependency …
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