NVIDIA Developer

JUNE 2, 2021

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.

Data Science 40

Data Science Machine Learning NLP Big Data Engineer 40

Mlearning.ai

JULY 11, 2023

For instance, feature engineering and exploratory data analysis (EDA) often require the use of visualization libraries like Matplotlib and Seaborn. In the data science industry, effective communication and collaboration play a crucial role. Moreover, tools like Power BI and Tableau can produce remarkable results.

Data Science 40

Data Science Big Data Engineer Machine Learning Continuous Learning 40

Pickl AI

AUGUST 27, 2024

Explore More: Big Data Engineers: An In-depth Analysis. Check More: The Role of Data Science in Transforming Patient Care. Understanding Data Science and Data Analysis Life Cycle. Overall, Citrix XenServer delivers a reliable, feature-rich virtualisation platform for diverse enterprise needs.

Data Science 52

Data Science Big Data Engineer Data Mining Automation 52

NVIDIA Developer

MAY 20, 2021

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.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40