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ThinkML, a leading platform for IT professionals, launched data science training courses. The courses are designed to provide practical knowledge and skills to data science professionals, from beginner to advanced level.
ThinkML trainingsData Science Trainings
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This document describes an end-to-end real-world business use case that is successfully running in a production environment. As you may be aware, data is at the heart of every data science project. Because of the improper use of data elements, 85% of data science initiatives failed. The issue is a lack of knowledge about the data and how it should be used in the model. If the variables are...
Increase Debt Collection Using AIBoost debt collection and recoveries using machine learning
This is a real-world end-to-end machine learning case study that will assist you in increasing debt recovery by improving the traditional debt collection system of your crediting company.
Increase Debt Collection Using AIBoost debt collection and recoveries using machine learning
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achievements.ai is an attempt to collect all the progressive evolutionary steps of Artificial Intelligence under a single platform in the form of a web timeline. achievements.ai is a timeline blog for AI achievements and milestones. Readers can search timeline stories by year, category, or using a keyword in the search box. If you find a specific historical AI achievement missing, you can...
achievements.aiThe Growing Timeline of AI Milestones
Since the conceptualization of AI, many accomplishments have been made. All those historical milestones are not listed anywhere on the internet. achievements.ai is an attempt to create a growing timeline of AI milestones achieved in the history so far.
achievements.aiThe Growing Timeline of AI Milestones
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ThinkML is a community where everyone is passionate about Machine Learning, Data Science and Business Intelligence. We aim to keep an eye on latest machine learning news, talks, discoveries and innovations from around the globe. Machine learning enthusiasts realize that reading material, talks and instructional exercises aren’t sufficient unless it is combined with pragmatic usage which...
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ThinkMLThink innovative, think Machine Learning!