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Top 10 Deep Learning Algorithms in Machine Learning [2025]

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With the help of natural language processing (NLP) tools, it has led to the development of exciting artificial intelligence applications like language recognition, autonomous vehicles, and computer vision robots, to name a few. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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An Intuitive Guide to Back Propagation Algorithm with Example

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If you are dealing with deep neural networks, you will surely stumble across a very known and widely used algorithm called Back Propagation Algorithm. This blog will give you a complete overview of the Back propagation algorithm from scratch. Table of Contents What is the Back Propagation Algorithm in Neural Networks ?

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A Beginner's Guide to Clustering Algorithms in Machine Learning

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Clustering algorithms are a fundamental technique in machine learning used to identify patterns and group data points based on similarity. This blog will explore various clustering algorithms and their applications, including K-Means, Hierarchical clustering, DBSCAN, and more. What are Clustering Algorithms in Machine Learning?

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Adaboost Algorithm Explained in Depth

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This blog serves as a comprehensive guide on the AdaBoost algorithm, a powerful technique in machine learning. This wasn't just another algorithm; it was a game-changer. Before the AdaBoost machine learning model , most algorithms tried their best but often fell short in accuracy. Freund and Schapire had a different idea.

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Computer Vision: Algorithms and Applications to Explore in 2025

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Whether it is quality control of crops through image classification or image processing for electronic deposits, computer vision techniques are transforming industries across the globe. The performance of computer vision algorithms has surpassed humans in specific tasks like detecting and labeling objects in terms of speed and accuracy.

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Guide to OpenCV and Python-Dynamic Duo of Image Processing

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At the core of such applications lies the science of machine learning, image processing, computer vision , and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. It is widely used in various computer vision systems.

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Batch Processing vs. Stream Processing: An In-depth Comparison

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Whether tracking user behavior on a website, processing financial transactions, or monitoring smart devices, the need to make sense of this data is growing. But when it comes to handling this data, businesses must decide between two key processes - batch processing vs stream processing. What is Batch Processing?

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