Mar 19Building One-Stop-Shop For NumpyEverything In Numpy If you are venturing into data science or machine learning, you will most likely encounter the Python library NumPy. NumPy is an open-source library that is widely used in scientific computing and data analysis. It provides robust support for multi-dimensional arrays and matrices, and a wide range…Numpy4 min readNumpy4 min read
Published inArtificial Intelligence in Plain English·Nov 5, 2022Distillation Algorithms for Knowledge DistillationTeacher-Student Model — In continuation with Knowledge Distillation series, this is the third blog post where I discuss the distillation algorithms for knowledge distillation. For better context, please read the first blog post on Knowledge distillation here. Teacher-Student Architecture For knowledge distillation, the teacher-student architecture forms the generic carrier for knowledge transfer. The quality of…Deep Learning4 min readDeep Learning4 min read
Published inArtificial Intelligence in Plain English·Nov 5, 2022How to train student model in knowledge Distillation?Teacher-Student Model — In continuation with Knowledge Distillation series, this is the second blog post where I discuss the training aspects of knowledge distillation. For better context, please read the first blog post on Knowledge distillation here. Training a student model, also called "distillation schemes," refers to how a teacher model can distill…Deep Learning3 min readDeep Learning3 min read
Published inArtificial Intelligence in Plain English·Oct 22, 2022Knowledge Distillation, aka Teacher-Student ModelKnowledge transfer from teacher to student — Knowledge Distillation With the release of large models in the last few years, from GPT-3 to Megatron, I keep pondering how to experiment and use these models for a specific use case. These models are trained on massive corpuses of data (100+ GBs) with billions of parameters. …Deep Learning3 min readDeep Learning3 min read
Published inArtificial Intelligence in Plain English·Sep 28, 2022How to use Jupyter Notebook effectively with Magic Commands?Magic Tricks In Jupyter Notebook Data scientists and data analysts frequently utilise Jupyter Notebooks as a tool to begin their analyses. And there are a few important Jupyter notebook tricks or commands that are hardly ever used by the community. In this post, we’ll execute commands which will make us…Python2 min readPython2 min read
Published inArtificial Intelligence in Plain English·Aug 9, 2022Computer Vision BasicsPart II: Filters, Canny Detection, Hough transform, etc. — Hey everyone, This is part II of the computer vision basics, where we’ll understand: what is filter, image frequency, edge detection, hough transform using OpenCV, etc. I’ve also created a YouTube video for the same blog, if you prefer to watch the video click here. Filters Filters are used for removing…Computer Vision6 min readComputer Vision6 min read
Published inArtificial Intelligence in Plain English·Jul 31, 2022Computer Vision BasicsPart 1: Understanding Images and Color Channels — Hey everyone, This is part I of the computer vision basics, where we’ll understand: what are images, color channels, and perform color detection using OpenCV etc. I’ve also created a YouTube video for the same blog, if you prefer to watch the video click here. Image Channels Task: Selecting an area of…Color Detection4 min readColor Detection4 min read
Published inPython in Plain English·May 15, 2022Getting Started With PyScriptRunning Python on a web browser — At PyCon US 2022, the Anaconda team announced PyScript, a tool to write Python code in a web browser, similar to JavaScript. PyScript will support different languages along with Python. For Web Developers Write Python in HTML. Build web applications in Python. For Data Scientists Running Dashboards and Machine Learning…Python3 min readPython3 min read
Published inArtificial Intelligence in Plain English·Sep 20, 2021Why Tf-Idf is more effective than Bag-Of-Words?Text Featurization In Machine Learning — In Machine Learning, it is nice when models are simple and interpretable, since it reduces the burden of debugging a complex model when things don’t work. But simple models do not always lead to the best results. Similarly, there are simple text featurizer which doesn’t result in effective models. For…Text Analytics5 min readText Analytics5 min read
Published inGeek Culture·Aug 29, 2021Practical Git Lesson — Part IIBranching A branch represents an independent line of development. Branches serve as an abstraction for the edit/stage/commit process. We can think of them as a way to request a brand new working directory, staging area, and project history. All the new commits are recorded in the history of the current branch…Git5 min readGit5 min read
