Azure, Hadoop and Supervised Learning

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

These techniques span different types of learning and provide powerful tools to solve complex real-world problems. Supervised Learning Supervised learning is one of the most common types of Machine Learning, where the algorithm is trained using labelled data.

Machine Learning

Machine Learning Machine Learning ML ML

How to Effectively Handle Unstructured Data Using AI

DagsHub

NOVEMBER 11, 2024

Platforms like Azure Data Lake and AWS Lake Formation can facilitate big data and AI processing. Distributed File Systems Distributed file systems (DFSs), like Hadoop HDFS , are essential for storing and managing large amounts of unstructured data that AI systems need for analysis and training models.

AI AI Data Lakes Database

Data Science Cheat Sheet for Business Leaders

Pickl AI

APRIL 2, 2024

Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Supervised Learning: Learning from labeled data to make predictions or decisions. Unsupervised Learning: Finding patterns or insights from unlabeled data.

Data Science

Data Science Machine Learning Machine Learning Predictive Analytics

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Must-Have Skills for a Machine Learning Engineer

How to Effectively Handle Unstructured Data Using AI

Data Science Cheat Sheet for Business Leaders

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