Search Results for: data science

NVIDIA and HP Supercharge Data Science and Generative AI on Workstations

HP Amplify — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X™ data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.

Video Highlights: Data Science Trend Predictions — with Sadie St. Lawrence

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Sadie St. Lawrence to analyze last year’s predictions and delve into the emerging technologies reshaping the field. They cover a range of topics, including the rise of AI hardware accelerators, the evolution of large language models into operating systems, and the potential impact of generative AI on data analysis roles.

Delphina Raises $7.5 Million to Build Copilot for Data Science

Delphina, an LLM-powered copilot for data science, announced the closing of a $7.5 million seed round co-led by Costanoa Ventures and Radical Ventures with participation from 20+ prominent angel investors, including Stanford professor Fei-Fei Li. The funding will be used to expand its team and accelerate product development.

What Impact Will Ethical AI Have on the Future of Data Science?

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically. Many professionals have devoted themselves to furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use. Data science practices will inevitably be altered, as well.

Anaconda’s State of Data Science Report Report Reveals Surge in AI Upskilling Among Data and IT Professionals

Anaconda Inc., provider of the popular platform for data science and modern AI development, released its sixth annual State of Data Science report, surfacing insights into today’s vibrant data science community and the growth and usage of AI and open-source software.

Anaconda Distribution for Python Brings Data Science to Hundreds of Millions of Microsoft Excel Users

Anaconda Inc., the provider of one of the world’s most widely used and trusted data science and AI platforms, announced the beta availability of Anaconda Distribution for Python in Excel, a new integration with Microsoft Excel.  Anaconda’s Python distribution is fully embedded and integrated into the Excel grid toolboxes for manipulating, analyzing, and visualizing data and for advanced machine learning and AI. Python in Excel is currently rolling out to Public Preview and is available for Microsoft Insiders.

Top Data Science Ph.D. Dissertations (2019-2020)

The American Mathematical Society (AMS) recently published in its Notices monthly journal a long list of all the doctoral degrees conferred from July 1, 2019 to June 30, 2020 for mathematics and statistics. The degrees come from 242 departments in 186 universities in the U.S. I enjoy keeping a pulse on the research realm for my field, so I went through the entire published list and picked out 48 dissertations that have high relevance to data science, machine learning, AI and deep learning. The list below is organized alphabetically by state.

Data Science 101: The Data Science Venn Diagram

Welcome to insideBIGDATA’s Data Science 101 channel bringing you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Venn Diagram, a subject-by-subject overview of the constituent parts of the discipline of data science.

Data Science Bows Before Prompt Engineering and Few Shot Learning 

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

Data Science 101: The Data Science Process

Welcome to insideBIGDATA’s Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Process, an overview of the steps that data scientists use solving problems with data science and machine learning technologies.