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  • Dynamic Programming - Step by Step Guide with Examples

    calendar Dec 23, 2019 · 7 min read · programming algorithm  ·
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    Dynamic Programming - Step by Step Guide with Examples

    Dynamic programming is a method for solving complex problems by breaking them down into smaller subproblems. It is a mathematical optimization technique that is mainly used for solving problems that exhibit the properties of overlapping subproblems and optimal substructure. The basic idea behind dynamic programming is …


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  • Multi-Threading vs Multi-Processing

    calendar Nov 24, 2019 · 7 min read · python programming  ·
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    Multi-Threading vs Multi-Processing

    Let's say you've got a big school project to do. You need to write a report, paint a picture, and build a model. Here's how you might tackle the project under different scenarios: Multi-processing This is like having multiple copies of yourself, each working independently on a different part of the project. One of you …


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  • Different Types of Recommendation Systems

    calendar Oct 5, 2019 · 5 min read · machine learning data science  ·
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    Different Types of Recommendation Systems

    There are several different types of recommender systems, each with its own unique characteristics and applications. Some of the most commonly used types of recommender systems include: Content-based recommender systems: These systems recommend items to users based on the characteristics of the items themselves. For …


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  • Understanding Logarithm Function

    calendar Aug 6, 2019 · 3 min read · programming algorithms math  ·
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    Understanding Logarithm Function

    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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  • Decorators in Python

    calendar May 20, 2019 · 3 min read · python programming  ·
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    Decorators in Python

    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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  • How to Prevent Overfitting in Machine Learning Models

    calendar May 9, 2019 · 4 min read · deep learning machine learning  ·
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    How to Prevent Overfitting in Machine Learning Models

    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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  • Understanding Graph Traversal - BFS vs DFS

    calendar Mar 12, 2019 · 7 min read · algorithms problem solving  ·
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    Understanding Graph Traversal - BFS vs DFS

    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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  • Basic Coding Problems You Must Be Able to Solve As a Computer Science Graduate

    calendar Feb 22, 2019 · 13 min read · algorithms leetcode problem solving  ·
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    Basic Coding Problems You Must Be Able to Solve As a Computer Science Graduate

    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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  • Learning the Django Framework Fundamentals

    calendar Jan 5, 2019 · 17 min read · django web-development software-engineering  ·
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    Learning the Django Framework Fundamentals

    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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  • Effective Transfer Learning - A Guide to Feature Extraction and Fine-Tuning Techniques

    calendar May 21, 2018 · 4 min read · deep learning machine learning data science  ·
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    Effective Transfer Learning - A Guide to Feature Extraction and Fine-Tuning Techniques

    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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  • Understanding Dependency Injection - Real-World Examples and Advantages

    calendar Feb 10, 2018 · 3 min read · programming algorithm python software engineering  ·
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    Understanding Dependency Injection - Real-World Examples and Advantages

    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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SK Soumik

Data Science | Software Engineering
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