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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. This article explores data discretisation’s methodologies, benefits, and applications, offering […] The post What is Discretization in Machine Learning?

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CrewAI Based DSA Tutor: Personalized Learning with Multi-Agent Systems

Analytics Vidhya

The rapid advancements in artificial intelligence have brought significant innovation to education, where personalized learning solutions are becoming increasingly feasible. Multi-agent systems (MAS), a concept rooted in distributed problem-solving, are particularly well-suited for addressing complex educational challenges.

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Tools and Frameworks for Deep Learning GPU Benchmarks

Analytics Vidhya

Deep learning GPU benchmarks has revolutionized the way we solve complex problems, from image recognition to natural language processing. CPUs, being widely available and cost-efficient, often serve […] The post Tools and Frameworks for Deep Learning GPU Benchmarks 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. Sounds like science fiction?

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

Learning Objectives: How to write DAGs that adapt to your data at runtime 🌐 How to use advanced data-driven scheduling features in Airflow 🚀 How to design your DAGs for easy readability and maintenance 🔍 Don't miss this chance to take a deep dive into the power of Apache Airflow®!

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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? By promoting robust margins between classes, it enhances model generalization. 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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Resilient Machine Learning with MLOps

Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds.

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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How Banks Are Winning with AI and Automated Machine Learning

By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA? What is AI? What is IPA?

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years. You'll learn more about biggest dos and don’ts from our predictive experiences: How to qualify first projects Which problems to start with When to deploy AI

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

This whitepaper reviews lessons learned from applying AI to the pandemic’s response efforts, and insights to mitigating the next pandemic. Download this whitepaper to learn about: Development of AI standards for pandemic models that will be used in future pandemic responses. Modernization of U.S. health reporting standards.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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The High Cost of a Bad Hire

Check out this infographic to learn how much these bad hires are costing you! 74% of organizations admit to making bad hires every year.