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Data Visualization: What is Data Visualization? Introduction: In the digital age, we swim in oceans of data daily, sales figures, website clicks, survey results, and more. But raw data is like an unassembled puzzle. Until we put the pieces together visually, we miss the bigger picture. Data visualization turns this puzzle into clear, colorful charts […]
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Difference Between Data Engineer, Data Analyst and Data Scientist Introduction: Are you confused between Data Roles? If you’ve been trying to build a career in data or are hiring for data-related roles, you’ve probably wondered: What is the difference between data science and data engineering? Or maybe even what is the difference between data science
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Top 25 Machine Learning Interview Questions and Answers Prepare smartly for your next data science or machine learning interview with the most commonly asked ML questions from basics to advanced. Introduction: Whether you’re a beginner or an experienced professional, cracking machine learning interviews requires clarity in both concepts and practical application. This guide covers the
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Data Scientist Roadmap 2025-2026 Becoming a data scientist in today’s world is more than just learning tools, it’s about developing a strategic mix of technical skills, business thinking, and real-world application. Here’s how you can build your path step by step: Here is your grouped and actionable data scientist roadmap for 2025: 1. Foundation Building
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AI IN BUSINESS: HOW AI IS USED BUSINESS? From Startups to Enterprises: The Real Impact of Artificial Intelligence Introduction: Is AI Just a Buzzword or a Business Breakthrough? Every few years, a new technology creates a buzz that promises to change the business landscape forever. Cloud computing, big data, and blockchain have all taken their
Basic Interview Questions on Python Python Interview Questions from Basics to Advance Whether you’re a budding data scientist, a fresher in programming, or an experienced developer transitioning into a Python-heavy role, one thing remains constant: interviews can be nerve-wracking. Especially when the interviewer starts throwing “basic interview questions on Python” your way. The problem? Most
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AI Agents and Agentic AI: What are types of Agents in AI & AI Agents Examples? Introduction: The Rise of Agentic AI in a Gen AI World Have you ever wondered how AI systems can make decisions, learn from their environment, or even plan and act like humans? That’s where AI agents and the concept
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Generative AI Applications Introduction: What are Applications of Generative AI? Have you noticed how everyone’s talking about AI lately? From students to CEOs, everyone’s curious What is generative AI, and why is it suddenly everywhere? Here’s the thing: Generative AI (or Gen AI) is not just a buzzword. It’s a game-changer. With tools that can
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The blog explores top Data Science career opportunities in today’s AI-driven world, covering key Gen AI jobs like Data Scientist, Prompt Engineer, AI and Machine Learning Engineer, AI Researcher, and AI Product Manager. It outlines each role’s job description, salary expectations, and a clear roadmap for beginners and professionals alike. With the rise of Generative AI job roles, skills in AI, machine learning, and prompt engineering are in high demand. Whether you’re starting from scratch or pivoting your career, this guide is paired with expert training from INTTRVU.ai, helps you navigate the future of tech.
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Machine Learning Projects in 2025: Top 5 ML Projects to boost your Career Get Ready to Build Game-Changing Projects in AI ML and Python! Ever feel like everyone’s talking about AI and Machine Learning, but no one tells you how to actually build something real?You’re not alone. Many learners get stuck after completing an introduction
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Generative AI works by using advanced machine learning models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to analyze patterns in data and create new, realistic content. It mimics human creativity by generating text, images, music, and even videos.
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In today’s data-driven world, Data Science and Data Analytics have become two of the most sought-after fields, offering tremendous job opportunities. However, choosing the right path can be confusing. In this article, we’ll explore the key differences between Data Science and Data Analytics, focusing on their scope, goals, job roles, necessary skills and potential salaries. By the end, you’ll have a clearer understanding of which career path might suit you better.
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