How to Download Kaggle Datasets Directly to Google Colab: A Step-by-Step GuideIn the world of data science, Kaggle is a beloved platform. It offers data scientists, machine learning practitioners, and even curious…Nov 7Nov 7
The 2024 Nobel Prize: The Deep Connection Between Physics and Machine LearningAt first, I would like to congratulate John Hopfield and Geoffrey Hinton, the 2024 Nobel Prize winners in Physics! Their pioneering…Oct 91Oct 91
Exploring Filters and Feature Maps in Convolutional Neural Networks (CNNs)Convolutional Neural Networks (CNNs) have emerged as a powerful tool in the field of computer vision, excelling in tasks like image…Oct 6Oct 6
Understanding Receptive Fields, Zero Padding, and Stride in Convolutional Neural Networks (CNNs)Convolutional Neural Networks (CNNs) have become the go-to architecture for processing and analyzing image data. Whether it’s object…Oct 6Oct 6
Understanding the Convolutional Layer in Convolutional Neural Networks (CNNs)What is a Convolutional Layer?Oct 6Oct 6
How to Calculate Precision, Recall, F1, Confusion Matrix, ROC AUC for Deep Learning ModelsEvaluating the performance of deep learning models is crucial in determining how well a model has learned to make predictions. Common…Jul 30Jul 30
What is Data Bias in Machine Learning?When we talk about bias in the context of machine learning and data preprocessing, we refer to the potential for certain patterns or…Jul 16Jul 16
What is Shuffling the Data? A Guide for StudentsWhen working with datasets in machine learning, one crucial preprocessing step is shuffling the data. Shuffling is the process of randomly…Jul 16Jul 16
Understanding Chaining Transformations in Data Preprocessing: A Guide for StudentsWhen working with data, especially in machine learning, it’s crucial to preprocess the data to ensure it is in the right format and…Jul 16Jul 16
