In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix.

Only well-implemented EHR systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential.

Discover how to use machine learning and data analytics to build your country's ultimate national football team. Learn about model training, and team evaluation

Predicting stock market prices, particularly for volatile stocks like Nvidia (NVDA), remains challenging due to numerous influencing factors.

Explore the detailed process of model training and evaluation through backtesting, covering the period from 2016 to 2022.

This section explores the features used in the startup success model, including founders’ and investors’ data, investment rounds information, and text tags.

This section details the methodology for creating datasets of successful and unsuccessful companies.

This section details the use of Crunchbase's daily export data for training a deep learning model to classify startup success.

This section reviews recent studies on AI applications in startup prediction and venture capital.

Explore how novel deep learning models and extensive data from Crunchbase can predict startup success, including IPOs and unicorn status.

Discover how investors are ranked based on frequency, amount, and field of investments using an autoencoder model.

Explore the assessment of startup investment performance based on financial growth and valuation metrics.

Explore advanced methods to refine AI investor models by incorporating diverse data sources like social media and company websites.

Explore how integrating data-driven insights and AI enhances venture capital investment decisions.

Explore models for ranking founders based on their previous startup experience and success, and discover methods for predicting unicorns.

Learn how Flighty's new machine learning-powered feature predicts flight delays and discover how you can build a similar model to forecast delays using Python.

Predictive modeling enables the prediction of blood glucose levels based on dietary intake and other factors.

This article explores various machine learning methods used in predicting and managing diabetes.

How AI, NLP, and Agile methodologies are transforming product management, driving data-driven decisions, customer insights, and adaptive innovation.

Eagle AI Labs empowers traders with 98.37% accurate AI insights, leveling the field with high-quality data once exclusive to institutions.