PinnedMd. Asifur RahmanThe Unseen Depths of RNN & LSTM: The Power of Deep Learning in NLPRecurrent Neural Networks (RNNs):Mar 5, 2023Mar 5, 2023
PinnedMd. Asifur RahmanLesson 7: Understanding the Role of Bias, Parameters and Hyperparameters in Machine LearningMachine learning models find complex patterns in data with hyperparameter tuning and bias control.Feb 28, 20231Feb 28, 20231
PinnedMd. Asifur RahmanLog Loss function is convex for Logistic RegressionFirst let’s understand Discrepancy, Loss, Average Loss & Cost Function with an example.Feb 27, 20231Feb 27, 20231
PinnedMd. Asifur RahmanPipeline of Neural Networks: An Overview of the Steps InvolvedThe Pipeline of Neural NetworksJan 19, 2023Jan 19, 2023
Md. Asifur RahmanOverview of My Research Work: ‘A Comparative Study of Undersampling and Oversampling Methods for…Paper Link (IEEE Xplore): https://ieeexplore.ieee.org/document/10306368May 13May 13
Md. Asifur RahmanHydrology Insight: From Basics to Conceptual Models and Hydrological ModellingThis article is crafted to equip readers with the essential knowledge needed to understand and analyze hydrology and hydrological…Jan 61Jan 61
Md. Asifur RahmanDecoding Patterns with Time Series Data Part-1This article is crucial as it equips readers with the fundamental knowledge necessary to comprehend, analyze, and extract valuable insights…Aug 29, 2023Aug 29, 2023
Md. Asifur RahmanLogistic Regression is nothing but Linear Regression with a Non-Linear Activation Function“Make Linear Regression into a Logistic Regression, with the help of a Non-Linear Activation Function”Jan 13, 2023Jan 13, 2023
Md. Asifur RahmanNeural Network is nothing but a Linear RegressionA brief explanation on “Neural Network is nothing but a Linear Regression or a Straight Line”Jan 6, 2023Jan 6, 2023
Md. Asifur RahmanRegression & Classification, Importance of Normalization & StandardizationBasic Concept of RegressionDec 28, 2022Dec 28, 2022