# Predictive Model-Building Platforms Machine Learning Platform MLJAR Uses AI for Prototyping By Alyson Wyers | Published 2017-06-26 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/machine-learning-platform References: [betalist](https://betalist.com/startups/mljar) & [mljar](https://mljar.com/) This machine learning platform is described as being human-first with a browser user interface. Based in Poland, new venture MLJAR offers a prototyping and development service that uses [pattern recognition algorithms](https://www.trendhunter.com/trends/aipowered-data-analysis). The startup has a variety of potential applications, including credit scoring, predicting employee attrition, high energy physics analysis and stock prediction. Users can build [predictive models](https://www.trendhunter.com/trends/deepcraft-starter-models) by uploading data, training and tuning artificial intelligence algorithms and sharing their best prediction models and results with others using the machine learning platform. MLJAR has a variety of features, such as a built-in hyper-parameters search, easily deployable cloud or local models, full reproducibility, one interface for multiple AI algorithms and the ability to train models in parallel. ## Trend Insights (Trend Hunter) - Score: 2.8/10 - Popularity: 38% | Activity: 38% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: Europe ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### What Makes This Trend Stand Out - **Predictive Model-building Platforms:** MLJAR's machine learning platform revolutionizes prototyping and development by making it human-first and offering a browser user interface. - **Pattern Recognition Algorithms:** MLJAR utilizes cutting-edge pattern recognition algorithms to provide accurate predictions in various applications such as credit scoring and employee attrition. - **Collaborative Machine Learning:** MLJAR's machine learning platform enables users to share their best prediction models and results, fostering collaboration and innovation in predictive model-building. ### Sectors Adopting This - **Finance and Banking:** The financial industry can benefit from MLJAR's predictive model-building platform for credit scoring and stock prediction, improving risk assessment and investment strategies. - **Human Resources:** With MLJAR's prediction models, HR professionals can accurately forecast employee attrition, enabling proactive measures to retain talent and boost workforce efficiency. - **Data Science and Research:** MLJAR's pattern recognition algorithms and collaborative platform provide a powerful tool for data scientists and researchers in fields like high energy physics analysis. ## Related on Trend Hunter - [AI Model Creation](https://www.trendhunter.com/trends/ai-model-generator.md) - [AI Deployment Platforms](https://www.trendhunter.com/trends/ubiops.md) - [AI Development Platforms](https://www.trendhunter.com/trends/tooljet.md) - [AI Application Builders](https://www.trendhunter.com/trends/myple.md) - [AI Model Comparisons](https://www.trendhunter.com/trends/chatplaygroundai.md) - [AI Deployment Platforms](https://www.trendhunter.com/trends/kitchenai.md) - [AI Deployment Platforms](https://www.trendhunter.com/trends/genai-launchpad.md) - [AI Project Accelerators](https://www.trendhunter.com/trends/scadepro.md) - [No-Code AI Builder Platforms](https://www.trendhunter.com/trends/buildupai.md)