Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...
Overview Python bootcamps in 2026 will focus more on real-world projects, AI tools, and job-ready skills rather than theory ...
VS Code is a popular choice because it’s free, flexible with lots of extensions, and has built-in Git support, making it a ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...