Published inBecoming Human: Artificial Intelligence Magazine·Aug 1Unraveling Multi-Task Learning in Deep Learning: Benefits and ApplicationsIntroduction Deep learning has revolutionized the world of artificial intelligence, powering breakthroughs in various domains. Multi-Task Learning (MTL) is a fascinating technique within deep learning that enhances model performance by simultaneously learning multiple related tasks. In this blog, we will explore the theory and principles behind the benefits of multi-task learning…Machine Learning6 min readMachine Learning6 min read
Published inBecoming Human: Artificial Intelligence Magazine·Jul 31Demystifying Logistic Regression: A Simple GuideIntroduction In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Despite its name, it has nothing to do with handling logistics or moving goods. Instead, it is a fundamental tool for classification tasks, helping us predict whether something belongs to one of two…Machine Learning4 min readMachine Learning4 min read
Published inBecoming Human: Artificial Intelligence Magazine·Apr 7, 2021Univariate Linear Regression: Explained with ExamplesWhat is Linear Regression? Linear regression, as the name implies, is commonly used to estimate the linear relationship between independent variables* (x₁, x₂, …, xₙ) and dependent variables* (y). You would use linear regression when your dependent variable is a continuous variable (value ranging between [-∞,+∞]). For example, predicting prices of houses, cars and…Machine Learning6 min readMachine Learning6 min read
Published inPython in Plain English·Apr 30, 2020Learning Convolutional Neural Network (CNN) with PyTorchIn this tutorial, I will guide you through (1) What is Convolutional Neural Network, (2) How to code in PyTorch (coming soon). This is the first part of the tutorial where I will explain intuitive idea about CNN and why it is so powerful in computer vision tasks. If you…Cnn8 min readCnn8 min read
