1.What is the difference between supervised and unsupervised learning? Supervised learning involves training a model using labeled data, where the model learns the relationship between input and output. For example, predicting house prices based on features like size and location. In unsupervised learning, there are no labels, and the model finds patterns or structures within … Read more
Artificial Intelligence (AI) and Machine Learning (ML) are transforming various industries, from healthcare to finance. However, diving into these fields requires specific foundational knowledge and skills. In this article, we will explore the prerequisites for learning Machine Learning and AI in simple vocabulary to help anyone understand how to start their journey. Ready to take … Read more
1. Introduction to FAANG Data Science Interviews FAANG—an acronym that stands for Facebook (now Meta), Amazon, Apple, Netflix, and Google (now Alphabet)—represents some of the most powerful tech companies in the world. As a result, landing a job in one of these companies is a dream for many data scientists. In FAANG, data science plays … Read more
India’s retail sector has undergone significant transformation in recent years, driven by rapid urbanization, technological advancements, and evolving consumer behaviors. With the rising availability of data, retailers now have access to a wealth of information that can guide their decision-making processes and help forecast future trends. In this article, we will explore how data-driven insights … Read more
1. Introduction What is a Google Data Scientist? A Google Data Scientist is responsible for analyzing massive data sets, building predictive models, and providing actionable insights that drive business decisions. Google data scientists work across various teams such as Ads, YouTube, and Search, where they apply machine learning and advanced analytics. Why is Google Data … Read more
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