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Here are 9 Must Need Machine Learning Tools for Your ML Project

Analytics Vidhya

Introduction Machine learning is a rapidly growing field that is transforming industries across sectors. It enables computers to learn from data and make predictions or decisions without being explicitly programmed.

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Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices

Machine Learning Research at Apple

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets.

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2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

insideBIGDATA

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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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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How to Deploy Machine Learning(ML) Model on Android

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Solving Machine learning Problems in a local system is only not the case but making it able to community to use is important otherwise the model is up to you only. The post How to Deploy Machine Learning(ML) Model on Android appeared first on Analytics Vidhya.

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Empower your understanding of important machine-learning techniques

Data Science Dojo

The development of generative AI relies on important machine-learning techniques in today’s technological advancement. It makes machine learning (ML) a critical component of data science where algorithms are statistically trained on data.

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Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Machine Learning Research at Apple

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. To help practitioners create efficient ML models, we designed and developed Talaria: a model visualization and optimization system.