Webinar: Speeding up Data Science &#038; Engineering Workflows Using Open Source Libraries
When top data scientists feel the need to accelerate computations, let’s say, when having tabular data at hand, they need a tailor made libraries that can do it for them. This is what rapids.ai is good at doing. Over the past couple of years, RAPIDS has become the go-to tool for data scientists who are performing at a high level. For instance, RAPIDS cuML with scikit-learn’s ensemble model APIs can be used to achieve more than 100x faster boosting and bagging. In association with HP and NVIDIA, Analytics India Magazine is organizing a webinar on how to leverage open source libraries of rapids.ai for speeding up data science and engineering workflows. This webinar will be helmed by Saurav Agarwal of NVIDIA. Saurav is a Senior Solution Architect at NVIDIA, in the Solution Architecture and Engineering group. His robust Data Science and Machine learning background and hands-on architecture & implementation experience will be put to great use in helping the attendees understand and adjust to the tectonic shifts in the data science landscape. He along with Senthilraj will discuss details about various ways in which data science workflows can be accelerated. Register Now Who Should Attend For all enthusiasts, beginners, intermediate and experts in the field of Data Science and Engineering. Why Should You Attend The attendees will get a clear idea about data science architecture and workflows in the industry and hands on examples of speeding up these workflows using open source libraries. Session details Speaker: Saurav works as a Senior Solution Architect at NVIDIA, in the Solution Architecture and Engineering group. With a robust Data Science and Machine learning background he has hands-on architecture & implementation experience in the enterprise data science landscape including data engineering on Big Data & Spark ecosystem. B Senthilraj works as a Solution Architect HP INDIA . Date: 29th January 2021 Time: 4pm – 5:15 pm Register Now
When top data scientists feel the need to accelerate computations, let’s say, when having tabular data at hand, they need a tailor made libraries that can do it for them. This is what rapids.ai is good at doing. Over the past couple of years, RAPIDS has become the go-to tool for data scientists who are […]
Analytics India Magazine is organizing a webinar on how to leverage open source libraries for speeding up data science workflows.
["data science master", "HP", "NVIDIA", "webinar"]
["data science", "scikit-learn", "Rapids", "machine learning", "AI", "ML", "data science master", "RAG", "analytics", "HP", "Tecton", "NVIDIA", "R", "webinar"]
["AI", "machine learning", "ML", "data science", "analytics", "Tecton", "scikit-learn", "Rapids", "RAG", "R"]
I have a master's degree in Robotics and I write about machine learning advancements.