IBepyProgrammer
Explore Python programming and its applications in machine learning, deep learning, and computer vision.
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Python for Medical Physics
Python is important in medical physics for tasks like medical imaging, radiation therapy, and AI-driven diagnostics. Its libraries help with complex calculations and handling of medical images, while deep learning improves diagnostic accuracy.
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Transformers 101
A Guide to the Most Popular Models in AI In recent years, transformer models have revolutionized machine learning and natural language processing (NLP) fields. From improving search engines and chatbots to enhancing medical diagnostics and even creating human-like text, transformers have set new benchmarks for AI performance. But with so
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A Beginner's Guide to Generative Adversarial Networks(GANS)
What are GANs? Generative Adversarial Networks (GANs) are artificial intelligence algorithms used in unsupervised machine learning. Introduced by Ian Goodfellow and his colleagues in 2014, they consist of two neural networks: the generator and the discriminator. The generator's task is to produce new data samples, whereas the discriminator
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Inductive Logic Programming
Inductive Logic Programming (ILP) is a subfield of machine learning and artificial intelligence that combines concepts from both logic programming and machine learning. It focuses on learning logic programs from examples and background knowledge, to induce general rules or hypotheses that accurately describe a given set of observations. Underlying Concepts:
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Python for Medical Physics
Python is important in medical physics for tasks like medical imaging, radiation therapy, and AI-driven diagnostics. Its libraries help with complex calculations and handling of medical images, while deep learning improves diagnostic accuracy.
Transformers 101
A Guide to the Most Popular Models in AI In recent years, transformer models have revolutionized machine learning and natural language proces
A Beginner's Guide to Generative Adversarial Networks(GANS)
What are GANs? Generative Adversarial Networks (GANs) are artificial intelligence algorithms used in unsupervised machine learning. Introduc
Inductive Logic Programming
Inductive Logic Programming (ILP) is a subfield of machine learning and artificial intelligence that combines concepts from both logic programm
Understanding Precision and Recall
Precision and recall are two fundamental metrics used to evaluate the performance of classification models in machine learning and deep learnin
Understanding Overfitting in Machine Learning
Overfitting is a common problem in machine learning and deep learning where a model learns the training data too well, to the extent that it ca
Introduction to Cross Validation
Cross-validation is a crucial technique in machine learning for evaluating the performance of a predictive model. It involves partitioning the
Random Forest vs Decision Trees
If you are new to machine learning, you may have come across the terms random forest classifier and decision trees and are now curious about th
Computer Vision vs Computer Graphics
In the realm of digital technology, two closely related yet distinct fields play crucial roles in shaping our interaction with computers: compu
Computer Vision Concepts Explained
Computer vision is a field in computer science and artificial intelligence that works to transform how machines perceive and interpret visual i
Reinforcement Learning Concepts
What is Reinforcement learning? Reinforcement learning is a machine learning technique where an agent interacts with an environment to learn
Machine Learning vs Deep Learning
Machine learning and deep learning are both subfields of artificial intelligence (AI) that involve training algorithms to learn patterns and ma
