In the current situation of Covid19, the whole world is experiencing unprecedented scenarios everywhere, which often everyone is terming as the “new normal”. But before becoming the “new normal”, these abnormal or anomalous outcomes can result in positive or negative impact for any organization and are important to keep track…

A detailed walk-through for applied computer vision for absolute beginners with basic knowledge of Python. — Throughout my career as a Data Scientist and AI Researcher, it is the image data domain that has attracted me the most. …

Are you still confused about the working of SHAP and Shapley values? Let me provide the most simple and intuitive explanation of SHAP and Shapley values in this article. — SHapley Additive exPlanation (SHAP), which is another popular Explainable AI (XAI) framework that can provide model-agnostic local explainability for tabular, image, and text datasets. SHAP is based on Shapley values, which is a concept popularly used in Game Theory. Although the mathematical understanding of Shapley values can be complicated, I…

Are you interested in pursuing a career in applied data science and machine learning? After reading Part I, continue your learning journey with this article. — Previously, in Part I of this series, we have discussed about the essential pre-requisites that you need to go through for practicing applied data science. Mostly we have covered about whether to choose Python or R (my preference being Python), if you are proceeding with Python, what exactly do you…

Are you interested in pursuing a career in applied data science and machine learning? Then this article is for you. — “I am interested in learning data science and machine learning, but how do I start?” — This is one of the most common questions I get at least once every week. Since data science is one of the most trending topics in the technology world, many technology enthusiasts are interested…

In this article, we will discuss about using EUCA, an Explainable AI framework to increase AI adoption for end users — Artificial Intelligence (AI) is being actively used to solve business problems in many domains. But AI algorithms are often considered as either complicated or magical black-boxes that can predict the future accurately. In spite of the ground breaking progresses made by AI in many application fields, since AI is not…

Explaining text classifiers made easy with Hugging Face Zero Shot Learning with SHAP — Giving you a context Explainable Machine Learning (XML) or Explainable Artificial Intelligence (XAI) is a necessity for all industrial grade Machine Learning (ML) or Artificial Intelligence (AI) systems. Without explainability, ML is always adopted with skepticism, thereby limiting the benefits of using ML for business use-cases.

An opportunity for any Data Science and Machine Learning enthusiast to get certain ideas and recommendations leveraging my experience from the field through the Daily Dose of Data Science series! — After multiple requests from various community members and followers, I have started sharing certain tips, suggestions and recommendations since the last 10 days around Data Science and AI considering my experience from the field under the series of Daily Dose of Data Science. The series of articles can be extremely…

Using the Deep Learning variant of Deep Hybrid Learning for forecasting time series data using TensorFlow — In my previous TDS article I described about the Machine Learning variant of Deep Hybrid Learning and how easily it can be applied for image data. If you are someone who is new to the concept of Deep Hybrid Learning, I would highly recommend you to have a look at…