Tag: Aditya Bhattacharya

Learn how to bridge the gap between AI and non-technical consumers of AI by building Explainable AI systems from this book On July 29th, 2022, my book on Applied Machine Learning Explainability Techniques was launched world wide from Packt publishing on the technical topic of Explainable AI (XAI). XAI is an emerging field for bringing…
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Today marks the 10th day of Daily Dose of Data Science series! Since the last 10 days you have been getting certain tips, ideas and recommendations about various aspects of the Data Science process for all level of Data Science and Machine Learning enthusiasts. Considering my experience from the field, today I wanted to share some…
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In one of the previous editions of Daily Dose of Data Science I had talked about how TensorFlow Hub can accelerate modeling of unstructured data using the concept of transfer learning. But there are many possible scenarios in which Transfer Learning may not be the most effective option to go for. In this post, I will…
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It’s time for today’s Daily Dose of Data Science! Automated Machine Learning has been a hot topic since the last two years! Today, you will get to know about Fast and Lightweight AutoML from Microsoft called FLAML. Let’s dive in to know more. FLAML is a lightweight Python framework which helps you to perform and execute…
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Welcome everyone for yet another Daily Dose of Data Science! For day 6, we will explore the world of natural language for the use case of keyword extraction from text using the BERT based architecture called KeyBERT. Let’s get started! KeyBERT is an open source Python framework with minimal and easy-to-use keyword extraction technique that…
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Its time to take your Daily Dose of Data Science! Today it will be a very light dose on an important topic of attractive data visualization in Python using Matplotlib styles and Plotly. Let’s dive in to know more! Data visualization, story telling and reporting are important skills for any data scientist. It is an…
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Let’s get you yet another Daily Dose of Data Science! This time we will discuss on an important topic about AutoML for time-series forecasting as time-series is one of the most common type of datasets any data scientist might come across and time-series data may require good amount of tuning to get generalized result. So,…
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Time for another Daily Dose of Data Science! Majority of data scientists consider using Transfer Learning from pretrained Deep Learning models whenever they work on problems involving limited data. That’s where TensorFlow Hub comes in, to even further accelerate the usage, discovery and availability of pretrained machine learning models ready for fine-tuning and deployment anywhere!…
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Welcome to day 2 of the Daily Dose of Data Science series! In this post we will discuss about a very useful framework called Pandas Profiling for doing a thorough exploratory data analysis in Python! I believe Exploratory Data Analysis (EDA) is one of the most important steps of a data science process. It is…
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Daily dose of data science is an initiative started to bring everyday tips, suggestions and recommendations for all enthusiasts who are practicing the art and science of Data Science! In this post, we will discuss more on the wonderful platform of paperswithcode that will get help you discover some of the fascinating research work done…
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