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Fundamentals of Accelerated Data Science

NVIDIA Developer

Using the RAPIDS™-accelerated data science libraries, you’ll apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale.

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Exploring Differences: Citrix XenServer Vs Vmware vSphere

Pickl AI

Explore More: Big Data Engineers: An In-depth Analysis. However, vSphere’s advanced algorithms and extensive configurations give it an edge in complex environments with varied workload demands. Check More: The Role of Data Science in Transforming Patient Care. Demystifying Desktop as a Service (DaaS).

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NVIDIA AMBASSADOR DLI WORKSHOP SERIES (INDIA)

NVIDIA Developer

Pallab is also an expert on algorithms like XGBoost, random forest and SVM. Languages: English Speakers Saurav Agarwal Senior Architect at NVIDIA NVIDIA Saurav is concentrated on implementing Big Data Engineering, Analytics, IoT and Machine learning products & solutions on large scale enterprise data systems.