Remove Azure Remove Hadoop Remove Support Vector Machines
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Must-Have Skills for a Machine Learning Engineer

Pickl AI

Support Vector Machines (SVM) SVMs are powerful classifiers that separate data into distinct categories by finding an optimal hyperplane. Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

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What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Core Machine Learning Algorithms Core machine learning algorithms remain foundational for data science workflows. Kafka remains the go-to for real-time analytics and streaming.