AI/ML Techniques

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…

2 weeks ago

A Practical Guide to Deploying Machine Learning Models

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

2 weeks 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…

1 month 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)…

1 month 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…

1 month 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…

1 month 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,…

1 month 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…

1 month ago

From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles

This post dives into the application of tree-based models, particularly focusing on decision trees, bagging, and random forests within the…

1 month ago

Decision Trees and Ordinal Encoding: A Practical Guide

Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric…

2 months ago