Data Science Blogs - Page 3 Of 29

Data Architecture Explained: 8 Key Responsbilities for Effective Data Management

In a data-driven world, businesses need structured and secure data to make decisions. This is where a Data Architect takes center stage. If you have been asking yourself, “What is a Data Architect?”, this blog will explain everything from what they do to their roles and responsibilities, as well as the skills required to be …

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Microsoft Data Science Internship 2025 for Second Year Students

Data Science / By Ankit kumar

Apply for Microsoft Data Science Internship this month and grab a chance to elevate your career with experienced industry professionals and cutting edge technology at Microsoft. Know more about this internship at Microsoft in this blog.

12 Data Science Podcasts to Listen to in 2025

Data Science / By Ankit kumar

Many data science podcasts are available on various channels such as Spotfiy, YouTube and other platforms. You can access these podcasts for free. We have handpicked for you some of the best podcasts to start your year with. Read the complete blog to learn more.

Data Science Career Roadmap: Jobs and Levels Guide

Data Science / By Ankit kumar

Data science career roadmap detailing job levels, roles, skills, and progression paths. Check here how to grow from beginner to leader in data science with clear guidance and structure.

4 Types of AI: Getting to Know Powerful Artificial Intelligence

Data Science / By Vanita Mishra

Artificial intelligence is no longer a concept for the future; today, it is changing industries, automating tasks, and even influencing our daily decisions. But did you know that these different types of AI have very different abilities? This understanding of Reactive Machines, Limited Memory AI, Theory of Mind AI, and Self-Aware AI gives one a …

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What Is Model Evaluation in Machine Learning? 7 Powerful Methods Explained

Data Science / By Vanita Mishra

Model assessment is an orderly activity that analyzes the performance of a machine-learning model with various quantitative metrics and qualitative approaches. It represents that critical gateway between developing a model and deploying it into the real world. Therefore, it guarantees that our algorithms can make accurate, reliable predictions when given new, unseen data. Poor evaluation …

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Microsoft Free AI & Ml Engineering Course

Data Science / By Ankit kumar

Get yourself enrolled in Microsoft Free AI & ML Engineering Course completely at no cost. Gain useful insights and master concepts of artificial intelligence and machine learning from top tutors at Microsoft. Learn more about this course in this blog.

Data Science

Data Architecture Explained: 8 Key Responsbilities for Effective Data Management

Microsoft Data Science Internship 2025 for Second Year Students

12 Data Science Podcasts to Listen to in 2025

Data Science Career Roadmap: Jobs and Levels Guide

4 Types of AI: Getting to Know Powerful Artificial Intelligence

What Is Model Evaluation in Machine Learning? 7 Powerful Methods Explained

Microsoft Free AI & Ml Engineering Course

Natural Language Processing (NLP): A Complete Guide For Beginners

Mutable And Immutable In Python: Complete Explanation For Beginners

Python Containers: Python Container Types