Convolutional Neural Network (CNN) in deep learning is widely used for image classification, object detection, and pattern recognition. This article explains the CNN full form in deep learning, how it works, its layers, and its real-world applications.
Want to crack your first machine learning interview? Here’s a detailed guide on machine learning interview questions for freshers, covering Python, data science, algorithms, and key ML concepts.
The random forest algorithm in machine learning is a powerful ensemble learning technique used for both classification and regression tasks. This blog by ZELL explains what is random forest algorithm, how it works, advantages, real-world applications, and common random forest interview questions.
Curious about what is the difference between generative AI and predictive AI? This guide explains their functions, differences, and examples. Understand labelled data vs unlabelled data and how AI is transforming industries.
Data Science Resume For Freshers: Are you a fresher eager to break into the field of data science but struggling to create a strong resume? You’re not alone. Data science is one of the most competitive fields today, and recruiters look for candidates who have technical skills, problem-solving abilities, and hands-on project experience. But as …
Data Science Resume for Freshers: How to Make a Resume? Read More »
What Type Of Data Is Generative AI Most Suitable For: Generative AI is transforming industries by creating text, images, videos, and audio from existing data. It is widely used in content creation, healthcare, marketing, and entertainment. But what type of data is generative AI most suitable for? Can it process both structured and unstructured data …
What Type of Data is Generative AI Most Suitable For? Read More »
Discover what is the main goal of Generative AI, how it works, its applications, key features, and limitations. Learn how Ze Learning Labb’s AI courses can help you master Generative AI, Data Science, and Digital Marketing.
Reinforcement learning is a powerful technique in machine learning that enables AI to make decisions based on trial and error. This blog explores what is reinforcement learning in machine learning, its types, elements, applications, advantages, and challenges.
Curious about what is supervised and unsupervised learning? This blog breaks down their differences, applications, advantages, and examples, making AI and machine learning concepts simple to understand.
Precision and recall in machine learning are key metrics for evaluating model performance. This guide explains their differences, formulas, and applications, and how to learn them through Ze Learning Labb’s Data Science courses.
