We’re back with another exciting post in the ML Digest series! Brought to you by KDAG and Chi SquareX, this blog continues to explore the cutting-edge developments in AI technology. In this edition, we focus on Neuralangelo by NVIDIA, a revolutionary AI model that transforms the digital canvas of code into lifelike 3D masterpieces.Discover how Neuralangelo is pushing the boundaries of 3D reconstruction by seamlessly integrating advanced computer vision and neural networks. Whether you’re an AI enthusiast or curious about the latest tech innovations, this blog provides a deep dive into how Nvidia’s Neuralangelo is redefining the future of digital artistry.

Brought to you by KDAG and Chi SquareX, this edition of our blog dives deep into the cutting-edge innovations of SAM 2—the next-gen model redefining image and video segmentation. Discover how SAM 2 takes the groundbreaking features of its predecessor and pushes them even further into the dynamic world of video processing, opening up a new era for AI-driven visual technology.Join us as we explore the transformative potential of SAM 2 and its real-world applications. Don’t miss out on this exciting read!

We’re back with another exciting post in the ML Digest series! Brought to you by KDAG and Chi SquareX, this blog dives into the latest advancements in AI technology. In this edition, we explore LLaMA 3.1, the groundbreaking model that’s revolutionizing the open-source AI landscape. Discover how this new release is setting new standards and pushing the boundaries of artificial intelligence with its cutting-edge features.Join us as we delve into the innovations of LLaMA 3.1 and its impact on the future of AI. Whether you're passionate about AI development or just curious about the latest tech trends, this blog provides a deep dive into the transformative potential of LLaMA 3.1.

Welcome to the first post of ML Digest! In this series, brought to you by KDAG and Chi SquareX, we’ll explore the latest in machine learning, AI, and their impact on the world. In this inaugural post, we dive into Apple’s new iPadOS 18 feature that decodes math notes using Vision Language Models (VLMs). This technology combines computer vision with natural language processing to interpret handwritten math, enhancing educational tools and user experiences. Discover how Apple’s integration of VLMs is setting the stage for the future of AI-driven learning.

This blog will unlock the immense potential of Google Cloud credits, tailored specifically for undergraduate and postgraduate students. We’ll explore how these credits can transform your studies, amplify your machine learning and data analytics endeavours, and open up exciting career prospects. Join us on this cloud-powered academic adventure!

This blog chronicles a scientific team's exploration of Transiting Exoplanet Discovery through Machine Learning. It demystifies the Transit Method, details a systematic workflow, and delves into data preprocessing and ML model training, offering a comprehensive view of their cosmic journey.

The article explores generating a 3D Ken Burns effect from a single image using depth estimation, object segmentation, and inpainting.It achieves cinematicdepth estimation, object segmentation, and inpainting.It achieves cinematic results with some limitations and potential for improvement.

This blog explores Algorithmic Art through Deep Dream and Neural Style Transfer techniques.It delves into their mechanisms, including neural networks and loss functions, showcasing how AI can enhance creativity.

It is better to be approximately right than precisely wrong. After getting a glimpse of various ML algorithms like decision trees and K-nearest neighbors, let’s address the main issue in these algorithms ‘Overfitting'

Does Machine Learning feel like a fantastical term filled with technical mumbo jumbo that should be left to the experts? Worry no more. Starting with this blog that introduces the classification of ML algorithms, the AI Weekly Series brings you insights on important ML topics and techniques on a weekly basis. Take a look at the blog for more insights

Do you remember drawing a straight line V-I characteristic in your cherished Electrical Lab? Do you remember how you drew it when the points didn’t really line up ?The Idea of the “best fit line” stems from the mathematical principle of least squares which turns out to be a rather simple but highly useful algorithm. Take a look at the blog for more insights

Ever wondered how mail apps automatically filter out the spam mails? Allow us to introduce you to a wonderful classification algorithm which intuitively introduces a bunch of important ML ideas like Gradient Descent and Nonlinear Cost Functions. Also, as a reward for making it till the end, we’ll show you how to code it up from scratch. Take a look at the blog for more insights

We’ve all heard the quote “Tell me who your friends are and I will tell you who you are” as people surround themselves with those of similar interests.The same goes for data points. Let’s explore the famous K- Nearest Neighbours algorithm and see how much the neighbours of a data point tell us about it’s classification. Take a look at the blog for more insights

After having gone through various ML algorithms, in this blog, we shall cover the topic which is considered as the Heart of the Data Science project i.e "Data Preprocessing". We shall master it in a very structured manner, which in turn will help us make our dataset more reliable, and interpretable. So, are you ready to boost your data science acumen? Take a look at the blog for more insights

A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification, implicitly mapping their inputs into high-dimensional feature spaces. Take a look at the blog for more insights

Whatt! It's already 8:00 am. Should I get a shower or grab my breakfast? Should I use perfume or deodorant? Should I have a coffee or not? Oh, God! The never-ending list of questions has always been overwhelming. But how to ask the correct question? Is there any optimal way to judge a question and then its decision? Hold on a sec! Kharagpur Data Analytics Group has answers to all your fussy questions. How? Well, we know an excellent Non-Parametric Supervised method that will help you out here called the Decision Trees! Take a look at the blog for more insights

We all have missed life-changing opportunities there, be it winning a lottery worth lakhs of rupees or emails that claim to fulfill your wishes. Well, for a fact we all know that it's a scam. But ever wondered how the email knows about it and puts such “scam” looking mails in a separate folder so that you aren’t bothered by them. The underlying principle is pretty simple NAIVE BAYES and unique in its own way as it uses the basic Bayes theorem of conditional probability. Take a look at the blog for more insights

When it comes to hackathons, there are certain habits and routines that set the top teams apart from the rest. Of course, you’d want to know what you could do to boost your productivity by such margins. Look no further, hop right into this blog by Kharagpur Data Analytics Group and elevate your chances of acing hackathons Take a look at the blog for more insights