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Data Workflows in Football Analytics: From Questions to Insights

Data Science Dojo

The coaching team is now counting on you to find a data-driven solution. This is where a data workflow is essential, allowing you to turn your raw data into actionable insights. In this article, well explore how that workflow covering aspects from data collection to data visualizations can tackle the real-world challenges.

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Start Small and Scale Up with Data Profiling, Data Quality, and Data Governance

Dataversity

Business users want to know where that data lives, understand if people are accessing the right data at the right time, and be assured that the data is of high quality. But they are not always out shopping for Data Quality […].

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Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?

Smart Data Collective

Colleges Mine Data on Their Applicants”, says the Wall Street Journal in an article on the way some universities are using AI and machine learning to determine prospective students’ level of interest in their institution. AI systems allow for the analysis of more granular patterns of the student’s data profile.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

While machine learning frameworks and platforms like PyTorch, TensorFlow, and scikit-learn can perform data exploration well, it’s not their primary intent. There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc.

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Monitoring Machine Learning Models in Production

Heartbeat

This article will cover the challenges you can face with Machine Learning models in production. Monitoring Data Quality Monitoring data quality involves continuously evaluating the characteristics of the data used to train and test machine learning models to ensure that it is accurate, complete, and consistent.

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Data Hygiene Explained: Best Practices and Key Features

Pickl AI

Without proper maintenance and management, data can quickly become overwhelming and even detrimental to an organization’s success. This is where data hygiene comes into play. Best Data Hygiene Tools & Software Trifacta Wrangler Pros: User-friendly interface with drag-and-drop functionality.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. Metaplane supports collaboration, anomaly detection, and data quality rule management.