Dataconomy

APRIL 16, 2025

The significance of machine learning Machine learning enhances logistic regression models by employing algorithms that learn from data patterns. This iterative process leads to improved predictive power, enabling more informed decision-making based on the analyzed data.

Machine Learning 91

Machine Learning Machine Learning Decision Trees Data Analysis 91

DrivenData Labs

MAY 24, 2023

We chose to compete in this challenge primarily to gain experience in the implementation of machine learning algorithms for data science. Summary of approach: Our solution for Phase 1 is a gradient boosted decision tree approach with a lot of feature engineering. What motivated you to compete in this challenge?

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. SaaS offers businesses cloud-native app capabilities, but AI and ML turn the data generated by SaaS apps into actionable insights. Predictive analytics.

Analytics 94

Analytics Analytics AI AI 94

Dataconomy

APRIL 4, 2024

From deterministic software to AI Earlier examples of “thinking machines” included cybernetics (feedback loops like autopilots) and expert systems (decision trees for doctors). Hardware is everywhere : GPUs from gaming, Apple’s M-series chips and cloud computing make immense computing resources trivially easy to deploy.

Algorithm 103

Algorithm AI AI Decision Trees 103

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Below, we explore some of the most widely used algorithms in ML.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention. Deep learning algorithms are neural networks modeled after the human brain. Some people worry that AI and machine learning will eliminate jobs.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

AWS Machine Learning Blog

SEPTEMBER 10, 2024

The remaining features are horizontally appended to the pathology features, and a gradient boosted decision tree classifier (LightGBM) is applied to achieve predictive analysis. These training jobs take the same input data for training and validation, but each one is run with different hyperparameters for the learning algorithm.

Supervised Learning 93

Supervised Learning Machine Learning Machine Learning AWS 93