NVIDIA Developer

JUNE 2, 2021

Traditional CPU-driven data science workflows can be cumbersome, but with the power of GPUs, your teams can make sense of data quickly to drive business decisions. Traditional CPU-driven data science workflows can be cumbersome, but with the power of GPUs, your teams can make sense of data quickly to drive business decisions.

Data Science 40

Data Science Machine Learning NLP Big Data Engineer 40

NVIDIA Developer

JUNE 2, 2021

Saturday, June 12, 2021 - 09:00 Indian/Maldives 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.

Data Science 40

Data Science Big Data Engineer Big Data Machine Learning 40

Pickl AI

AUGUST 27, 2024

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. Discover: Mastering Mathematics For Data Science. Understanding Data Science and Data Analysis Life Cycle.

Data Science 52

Data Science Big Data Engineer Data Mining Automation 52

NVIDIA Developer

MAY 20, 2021

Pallab is also an expert on algorithms like XGBoost, random forest and SVM. Reducing training time and accelerating inference throughput pipelines on various H/W platforms like GPU-based Data Centers i.e Duration: 8 Hours Fundamentals of Accelerated Data Science By Kevin Y. DGX/EGX family, GPU-based Embedded Platforms i.e

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40