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What is Discretization in Machine Learning?

Analytics Vidhya

Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods designed for discrete inputs. appeared first on Analytics Vidhya.

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Top 30 Machine Learning Projects for Beginners in 2025

Analytics Vidhya

As we approach 2025, machine learning is turning these visions into reality. From chatbots that hold human-like conversations to recommendation systems that know your next favorite movie, […] The post Top 30 Machine Learning Projects for Beginners in 2025 appeared first on Analytics Vidhya.

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What is Hinge Loss in Machine Learning?

Analytics Vidhya

This guide explores hinge loss fundamentals, its mathematical basis, and applications, catering to both beginners and advanced machine learning enthusiasts. […] The post What is Hinge Loss in Machine Learning? appeared first on Analytics Vidhya.

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TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning

Analytics Vidhya

In the recent world of technology development and machine learning its no longer confined in the micro cloud but in mobile devices. TensorFlow Lite and PyTorch mobile, both, are developed to […] The post TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning 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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Machine Learning Experiment Tracking Using MLflow

Analytics Vidhya

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated.

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15+ Github Machine Learning Repositories for Data Scientists

Analytics Vidhya

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub.

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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.