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No Code Machine Learning for Non-CS Background

Analytics Vidhya

Introduction The recent decade has witnessed a massive surge in the application of Machine learning techniques. Adding machine learning techniques to […] The post No Code Machine Learning for Non-CS Background appeared first on Analytics Vidhya.

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What is Bagging in Machine Learning?

Analytics Vidhya

Introduction In the field of machine learning, developing robust and accurate predictive models is a primary objective. Ensemble learning techniques excel at enhancing model performance, with bagging, short for bootstrap aggregating, playing a crucial role in reducing variance and improving model stability.

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10 Must Read Machine Learning Research Papers

Analytics Vidhya

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. By highlighting the significant impact of these discoveries on current applications and […] The post 10 Must Read Machine Learning Research Papers appeared first on Analytics Vidhya.

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Hyperparameter Optimization in Machine Learning Models

Analytics Vidhya

Introduction One of the toughest things about making powerful models in machine learning is fiddling with many levels. In this blog post, complete with code snippets, we’ll cover what this means and how to do […] The post Hyperparameter Optimization in Machine Learning Models appeared first on Analytics Vidhya.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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What is Tensor: Key Concepts, Properties, and Uses in Machine Learning

Analytics Vidhya

This article aims to provide readers with […] The post What is Tensor: Key Concepts, Properties, and Uses in Machine Learning appeared first on Analytics Vidhya. Tensors efficiently handle multi-dimensional data, making such innovative projects possible.

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Machine Learning vs Neural Networks: What is the Difference?

Analytics Vidhya

Introduction This article will examine machine learning (ML) vs neural networks. Machine learning and Neural Networks are sometimes used synonymously. Even though neural networks are part of machine learning, they are not exactly synonymous with each other. appeared first on Analytics Vidhya.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains? What are some of the most common use cases for mathematical optimization across industries?

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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Hype Cycle for Supply Chain Strategy, 2020

Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. Gartner’s latest recommendations on tried and true capabilities. Find out what's essential to supply chain excellence. Research insights on new technologies. Vendors you can work with.