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Naveen
📅 Last Updated: 12 Dec, 2024
Image Processing using PIL (Python Imaging Library)
Python Image Library is used for manipulating images and working with the different formats of images. 1. Reading We can...
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Naveen
📅 Last Updated: 12 Dec, 2024
What are the major algorithms in Computer Vision?
The major algorithm in Computer Vision is the Viola-Jones object detection framework. The framework is based on two key aspects:...
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Naveen
📅 Last Updated: 12 Dec, 2024
Reading an image using multiple Libraries?
PIL – Python Imaging Library Pillow is an image processing and manipulation library To install pillow – pip install pillow...
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Naveen
📅 Last Updated: 12 Dec, 2024
When is Template Matching used in real life?
Template matching is used in real-time video surveillance to retrieve templates. This section will discuss the use cases of template...
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Naveen
📅 Last Updated: 12 Dec, 2024
When are histograms used in real life?
Histograms are used in computer vision mainly to filter or detect edges. They are also used for histogram matching, which...
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Naveen
📅 Last Updated: 12 Dec, 2024
How to Solve Underfitting in Machine Learning Models
Underfitting is a common problem in machine learning models. This happens when the model is too simple to capture the...
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Naveen
📅 Last Updated: 12 Dec, 2024
Overfitting in Machine Learning: What it is and When it Occurs
In machine learning, overfitting refers to the phenomenon where a model performs well with training data, but does not generalize...
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Naveen
📅 Last Updated: 12 Dec, 2024
Understanding Different Types of Machine Learning: Batch, Online, Instance-Based, and Model-Based Learning
Machine learning is an integral part of artificial intelligence (AI). It allows computer systems to learn from data and improve...
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Naveen
📅 Last Updated: 12 Dec, 2024
Important Supervised and Unsupervised Algorithms for Machine Learning
Machine learning is a branch of computer science and artificial intelligence that allows machines to learn automatically without special programming....
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Naveen
📅 Last Updated: 15 Jun, 2026
10 Key Challenges of Natural Language Processing in 2026
The challenges of natural language processing are what make NLP one of the hardest and most fascinating problems in AI....
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Naveen
📅 Last Updated: 15 Jun, 2026
Stemming vs Lemmatization in NLP: Differences with Python Code
If you’ve spent any time in NLP, you’ve run into stemming vs lemmatization — two techniques that both reduce words...
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Naveen
📅 Last Updated: 12 Dec, 2024
Reinforcement Learning: Maximizing Rewards through Continuous Learning and Markov Decision Processes
Reinforcement learning (RL) is a subfield of machine learning that focuses on using reward functions to train agents to make...
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