Contributed by: Shreya LinkedIn Profile: https://www.linkedin.com/in/shreya-shetty-9a070792/ If you have worked with natural language uses cases, you would have definitely come across the process of converting text into the format that machines understand, i.e. numeric. While we are able to put it into the numeric format, we observe lot of zeros(majority) programmatically where it has ‘m’ […]
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Introduction to Cross Entropy How to calculate Entropy How is Cross Entropy related to Entropy Cross Entropy as a Loss Function Contributed by: Rakesh Ambudkar LinkedIn Profile: www.linkedin.com/in/rakesh-ambudkar-28386aa Introduction to Cross Entropy The moment we hear the word Entropy, it reminds me of Thermodynamics. In entropy, the momentum of the molecules is transferred to another
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Contributed by: Ayushi Jain LinkedIn Profile: https://www.linkedin.com/in/ayushi-jain-541047131/ We have heard about classification and regression techniques in machine learning. We know that these two techniques work on different algorithms for discrete and continuous data respectively. In this article, we will learn more about classification. If we dig deeper into classification, we deal with two types of
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Hyperparameter Tuning: Introduction Manual Search Random Search Grid Search Contributed by: Netali LinkedIn Profile: https://www.linkedin.com/in/netali-agrawal-31192a71/ Introduction to Hyperparameter Tuning Data Science is made of mainly two parts. Data analytics and machine learning modeling. Although Data Science has a much wider scope, the above-mentioned components are core elements for any Data Science project. Let me quickly
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Contributed by: Kalyan Raman LinkedIn Profile: https://www.linkedin.com/in/kalyan-raman-82bb259/ Open the browser, search for a product, scan the entire range, click, swipe, and smile! Without batting an eyelid, we can purchase the latest model of mobile phones and electronic gadgets, or contemporary furniture or home accessories, just snapping our fingers. The e-commerce sites customize their range of
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What is Bias? Error in Bias What is a Variance? Error in Variance But why is there Trade-off? What is Bias? Bias is the difference between the average prediction of our model and the correct value which we are trying to predict. The model with high bias pays very little attention to the training data
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What is data preprocessing? For machine learning, we need data. Lots of it. The more we have, the better our model. Machine learning algorithms are data-hungry. But there’s a catch. They need data in a specific format. In the real world, several terabytes of data is generated by multiple sources. But all of it is
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