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iiot ai_2022-07-29_03-34-51.xlsx

#artificialintelligence

The graph represents a network of 1,513 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 29 July 2022 at 10:40 UTC. The requested start date was Friday, 29 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 17-hour, 57-minute period from Tuesday, 26 July 2022 at 06:02 UTC to Friday, 29 July 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Artificial Intelligence at UCI and Beyond

#artificialintelligence

Artificial Intelligence at UCI and Beyond explores the transformational branch of computer science that is increasingly influencing the ways we live and work. With applications in transportation, healthcare, business, and more, AI-enabled systems are seeking to enhance human capabilities. From autonomous vehicles to business intelligence, this exhibit showcases some of the AI technologies and research models allowing computer systems to learn from experience, operate autonomously, and perform human-like tasks. In addition to highlighting key historical figures and milestones, the exhibit showcases selected examples of AI researchers and initiatives at UCI. It also spotlights the ethical challenges, biases, and privacy concerns raised by the widespread use of AI systems. Artificial Intelligence at UCI and Beyond was curated by Danielle Kane, Computational Research Librarian, edited by Cheryl Baltes and Gaby Camacho, and designed by Allan Helmick, Sylvia Irving, and Luisa Lee.


Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics: Nield, Thomas: 9781098102937: Amazon.com: Books

#artificialintelligence

I will make the argument that the disciplines of math and statistics have captured mainstream interest because of the growing availability of data, and we need math, statistics, and machine learning to make sense of it. Yes, we do have scientific tools, machine learning, and other automations that call to us like sirens. We blindly trust these "black boxes," devices, and softwares; we do not understand them but we use them anyway. While it is easy to believe computers are smarter than we are (and this idea is frequently marketed), the reality cannot be more the opposite. This disconnect can be precarious on so many levels.


Rising applications for artificial intelligence in cardiovascular medicine

#artificialintelligence

Artificial intelligence (AI)--the use of algorithms and software to interpret and understand complex data--has proven to be a disruptive force in modern medicine and has impacted everything from biomedical research to clinical practice. The rapid development of AI tech has seen its incorporation into increasingly specific applications and clinical settings. In particular, the field of cardiology has seen AI integrated with a variety of tools and devices in recent years and presents new opportunities for data-driven improvements to patient care. Today's AI applications in cardiology aim to enhance physician decision-making through data analysis. Interpretation of test results such as electrocardiograms or angiograms can be guided by AI algorithms trained to detect abnormalities and reduce diagnosis time.


Closing the Gap Between Digital Marketing Spending and Performance

#artificialintelligence

Marketers have used digital marketing to navigate through incredibly difficult business conditions, connecting with customers stuck at home during the pandemic, digitizing products and services, and driving revenues. Now, it’s time to build on those gains by redoubling their commitment to deepening data and digital mastery, building a culture of continuous learning and experimentation, and using insights to deliver personalized services to customers for higher ROI. Those willing to do so will outpace competitors, notching greater revenues and working more closely with the C-suite to drive business expansion.


Who will speak at Data Day Texas 2023

#artificialintelligence

We're just now sending invites and beginning to confirm speakers for the upcoming edition in January. If you'd like to join us as a speaker, take a look at our Proposals page. As Vice President of Developer Experience at Treeverse, Adi Polak shapes the future of data & ML technologies for hands-on builders. She also contributes to the lakeFS open-source, a git-like interface for object stores. In her work, she brings her vast industry research and engineering experience to bear in educating and helping teams design, architect, and build cost-effective data systems and machine learning pipelines that emphasize scalability, expertise, and business goals.



neo4j_2022-07-11_22-30-00.xlsx

#artificialintelligence

The graph represents a network of 758 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 July 2022 at 05:30 UTC. The requested start date was Tuesday, 12 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 13-day, 22-hour, 7-minute period from Tuesday, 28 June 2022 at 00:51 UTC to Monday, 11 July 2022 at 22:59 UTC.


6 Top Cloud Consulting Services to Consider in 2022

#artificialintelligence

Since the pandemic, the digital shift accelerated due to remote work, and cloud computing has transformed into the de facto decision of IT. It has already reshaped the way companies do business. However, cloud consulting service providers have also created value in this niche. The top service providers have been continuously involved in rapid adoption and growth to modernize operations and expand IT capabilities. If you are looking for the top best cloud computing services in 2022, this is the right place for you to find out.


datamining_2022-07-03_23-45-00.xlsx

#artificialintelligence

The graph represents a network of 2,451 Twitter users whose tweets in the requested range contained "datamining", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 06:53 UTC. The requested start date was Monday, 04 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 13-day, 23-hour, 52-minute period from Monday, 20 June 2022 at 00:03 UTC to Sunday, 03 July 2022 at 23:55 UTC.