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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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What is Hinge Loss in Machine Learning?

Analytics Vidhya

Hinge loss is pivotal in classification tasks and widely used in Support Vector Machines (SVMs), quantifies errors by penalizing predictions near or across decision boundaries. 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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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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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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6 Free University Courses to Learn Machine Learning

Analytics Vidhya

Introduction Machine learning (ML) is rapidly transforming various industries. Companies leverage machine learning to analyze data, predict trends, and make informed decisions. Learning ML has become crucial for anyone interested in a data career. From healthcare to finance, its impact is profound.

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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya. We have all heard of MLOps, but what is LLMOps?

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Trust is an essential part of doing business.

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How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.

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Humility in AI: Building Trustworthy and Ethical AI Systems

More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. With the rising stakes, AI systems must be built to be humble, just like humans.

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10 Keys to AI Success in 2021

Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.

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Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.

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Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). Where machine learning is a perfect fit to drive your business, and where it has further to go.

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The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020

Machine learning, according to Forrester Research, gives top catalogs an edge. This report compares the top 10 catalogs, demonstrating how machine learning drives efficiency. When it comes to data catalogs, what separates the leaders from the laggards?