Flipboard

JUNE 13, 2025

Effective data handling, including preprocessing, exploratory data analysis, and making sure data quality, is crucial for creating reliable AI models. Understanding AI ethics, cloud computing, and communication skills ensures responsible, scalable, and collaborative AI solutions that align with societal and business needs.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

AWS Machine Learning Blog

NOVEMBER 18, 2024

Varun Kumar Nomula is Principal AI/ML Engineer consultant for MSD, specializing in Generative AI, Cloud computing, and Data Science. Varun is also a published author of several books and research papers in the fields of AI and Healthcare, contributing to the academic and professional community.

SQL 101

SQL Database AWS AI 101

Hacker News

JULY 1, 2025

We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF.

Python 73

Python AWS ML ML 73

Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

Data Science 353

Data Science Data Preparation Big Data Big Data 353

ODSC - Open Data Science

SEPTEMBER 12, 2024

Must-Use Data Visualization Datasets, AI Frameworks for Software Engineering, DynGAN, and 50% Off ODSC West 12 Must-Use Datasets for Data Visualization in 2024 Need to practice making sense of your data? US Proposes Mandatory Reporting for AI and Cloud Providers The U.S. Register now for 50% off!

Data Visualization 40

Data Visualization Data Science AI AI 40

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks.

Analytics 94

Analytics Analytics AI AI 94

AWS Machine Learning Blog

JULY 10, 2024

For instance, in a flight booking application, a developer can create an agent that can remember the last time you traveled or that you opt for a vegetarian meal. This is part of our broader commitment to provide free cloud computing skills training to 29 million people worldwide by 2025.

AWS 142

AWS Machine Learning Machine Learning Database 142