AI/ML Techniques

7 Open-Source Machine Learning Projects You Can Contribute To Today

  Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning…

10 months ago

Understanding RAG III: Fusion Retrieval and Reranking

Check out the previous articles in this series: •

10 months ago

5 Free Books on Computer Vision

Computer vision is a branch of Artificial Intelligence (AI) that studies how machines can interpret and understand visual information, such…

10 months ago

A Practical Guide to Deploying Machine Learning Models

As a data scientist, you probably know how to build machine learning models.

10 months ago

Exploring LightGBM: Leaf-Wise Growth with GBDT and GOSS

LightGBM is a highly efficient gradient boosting framework. It has gained traction for its speed and performance, particularly with large…

11 months ago

Industries in Focus: Machine Learning for Cybersecurity Threat Detection

Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML)…

11 months ago

Navigating Missing Data Challenges with XGBoost

XGBoost has gained widespread recognition for its impressive performance in numerous Kaggle competitions, making it a favored choice for tackling…

11 months ago

Building 3 Fun AI Applications with ControlFlow

The AI industry is rapidly advancing towards creating solutions using large language models (LLMs) and maximizing the potential of AI…

11 months ago

Boosting Over Bagging: Enhancing Predictive Accuracy with Gradient Boosting Regressors

Ensemble learning techniques primarily fall into two categories: bagging and boosting. Bagging improves stability and accuracy by aggregating independent predictions,…

11 months ago

5 Free Courses to Master Deep Learning in 2024

AI applications are everywhere. I use ChatGPT on a daily basis — to help me with work tasks, and planning, and even…

11 months ago