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Shreya

Shreya Ghoshal review – masterful Indian singer has a voice like billowing silk | Pop and rock

Tipsy uncles swaying their arms, adverts for a local cash and carry, a child dozing on her mum’s lap: sold-out arena shows rarely feel intimate, but in Wembley, a masterful Shreya Ghoshal induces communal revelry.Ghoshal is one of India’s most successful contemporary playback singers (the vocalists dubbed over actors in film musicals). Emerging in 2000, then the 16-year-old winner of a TV talent show, her transfixing voice – capable of being sweet and delicate as well as altogether more formidable – has become a dominant…

Machine Learning, Illustrated: Opening Black Box Models with SHAP | by Shreya Rao | May, 2023

How to explain any machine learning model using SHAPShapley Value is a concept derived from cooperative game theory in Economics that assigns a value to each player in a cooperative game based on their contributions to the game. In the field of machine learning, this concept has been adapted into the SHAP (SHapley Additive exPlanations) framework, which is an effective technique for interpreting the workings of a model.If you’re interested in learning more about Shapley Values, I highly recommend checking out my previous…

Machine Learning, Illustrated: Evaluation Metrics for Classification | by Shreya Rao | Apr, 2023

A comprehensive (and colorful) guide to everything you need to know about evaluating classification modelsI realized through my learning journey that I’m an incredibly visual learner and I appreciate the use of color and fun illustrations to learn new concepts, especially scientific ones that are typically explained like this:Image by authorFrom my previous articles, through tons of lovely comments and messages (thank you for all the support!), I found that several people resonated with this sentiment. So I decided to…

Back to Basics, Part Tres: Logistic Regression | by Shreya Rao | Mar, 2023

An illustrated guide on Logistic Regression (with code!)Welcome back to the final installment of our Back to Basics series, where we’ll delve into another fundamental machine learning algorithm: Logistic Regression. In the previous two articles, we helped our friend Mark determine the ideal selling price for his 2400 feet² house using Linear Regression and Gradient Descent.Today, Mark comes back to us again for help. He lives in a fancy neighborhood where he thinks houses below a certain size don’t sell, and he is worried…

Back To Basics, Part Dos: Linear Regression, Cost Function, and Gradient Descent | by Shreya Rao | Feb, 2023

Welcome to the second part of our Back To Basics series. In the first part, we covered how to use Linear Regression and Cost Function to find the best-fitting line for our house prices data. However, we also saw that testing multiple intercept values can be tedious and inefficient. In this second part, we’ll delve deeper into Gradient Descent, a powerful technique that can help us find the perfect intercept and optimize our model. We’ll explore the math behind it and see how it can be applied to our linear regression…

Back To Basics, Part Uno: Linear Regression, Cost Function, and Gradient Descent | by Shreya Rao | Feb, 2023

An accessible perspective on essential machine learning conceptsToday, we will delve into three crucial concepts in Machine Learning: Linear Regression, Cost Function, and Gradient Descent. These concepts form the foundation of many Machine Learning algorithms. Initially, I decided against writing an article on these topics because they are so widely covered. However, I have changed my mind because understanding these concepts is essential for understanding more advanced topics like Neural Networks (that I plan on…

DBSCAN Clustering: Break It Down For Me | by Shreya Rao | Nov, 2022

An accessible introduction to a powerful algorithmWelcome back to the world of I-don’t-know-why-I-was-freaking-out-about-this-algorithm-because-I-totally-intuitively-get-it-now, where we take complicated sounding Machine Learning algorithms and break them down into simple steps using fun illustrations.Today we’ll tackle another clustering algorithm called DBSCAN (Density-based spatial clustering of applications with noise). To understand DBSCAN better, check out the K-Means and Hierarchical clustering articles first.As…

Review: Handle With Care by Shreya Sen-Handley

Shreya Sen-Handley’s Handle With Care is a delicious documentation of her offbeat travels and culinary exploits around the world with her British husband, two children, and their dog.Her rambunctious adventures, which are “dished up with love and mischief”, span bustling international capitals from New York to Paris. But what really sets this travelogue apart are her quirky tales from locales like the Greek island of Corfu, home to Gerald Durrell, the author of My Family & Other Animals. 258pp, ₹399; HarperCollins…

Who Is Shreya Lenka: Kpop Star From India?

Shreya Lenka is now the first-ever Indian to become a professional K-pop artist. Lenka, who goes by the stage name Sriya, has been selected as the fifth member of the popular South Korean pop band Blackswan. Shreya Lenka will be joining the original members of the girl group Youngheun, Fatou, Judy and Leia along with a Brazilian girl named Gabriela Dalcin. Blackswan’s music label, DR Music officially announced the news on social media while welcoming Lenka to the band. The music label shared a photo of Sriya and…

An Introduction to Using TigerGraph with Go: Exploring COVID-19 Patient Cases | by Shreya Chaudhary | May, 2022

Querying a Graph Database Using TigerGraph and Golang Both Through the TigerGraph REST Endpoints and TigerGoImage from PixabayIntroductionRecently, I learned the basics of Go (Golang) and decided to build a TigerGraph Go package called TigerGo with my newfound knowledge. In this blog, I will walk through the basics of using the new library and how to create query a TigerGraph graph database with Go.ToolsTigerGo (v0.0.2): A new TigerGraph Go wrapper created today to interact with a TigerGraph graph database with…