Condé Nast plans to cut 5% of its workforce, acknowledging the toll of digital video’s shift toward short-form fare inspired by TikTok. The parent company of well-established media brands

Condé Nast Laying Off 5% Of Its Workforce, Citing “Volatile” Nature Of Digital Video Marketplace

WALNUT, Calif., Nov. 01, 2023 (GLOBE NEWSWIRE) -- GigaCloud Technology Inc (Nasdaq: GCT) (“GigaCloud” or the “Company”), a pioneer of global end-to-end B2B ecommerce solutions for large parcel merchandise, today announced that it has completed the ...

GigaCloud Technology Inc Completes Acquisition of Noble House

The company's headquarters debut comes after Axtra3D closed on a $6.25 million Series A funding round in November 2022. It used that capital to scale production of its 3D printing machines and to complete a broad market entry of its first product, the Lumia X1 3D printer.

Charlotte startup Axtra3D opens global HQ here as it eyes more growth

For more information, visit: www.deep-pool.com. About Chartis Research Chartis Research supports banks, tech vendors, investment managers and insurers with independent research and advice on all aspects of risk, compliance and financial technology.

Deep Pool Tops Chartis Research RiskTech100 Ranking for Its Customer Lifecycle Management Solution for Investor Services

With this new access to information, the programme hopes to improve ... while driving forward our ambitions to make the UK a science and technology superpower.” Currently, satellite services support activity that contributes £370bn to the UK economy ...

New programme unlocks space technology for UK businesses

Fintel reports that on October 17, 2023, Wolfe Research upgraded their outlook for Fidelity National Information Services (NYSE ... FIS is a leading provider of technology solutions for merchants ...

Wolfe Research Upgrades Fidelity National Information Services (FIS)

Pakistan and the United Arab Emirates (UAE) reached an agreement to enhance their bilateral collaboration in Information Technology, with a particular focus on Artificial Intelligence and the Digital Economy. The consensus was reached during a meeting ...

Pakistan and UAE strengthen collaboration in information technology, AI, and digital economy

Tata Consultancy Services Ltd is betting on its partnership with Microsoft Corp to develop artificial intelligence-based software services for clients, seeking to win higher margins to fuel growth.

TCS Seeks to Use Microsoft AI Partnership to Improve Margins

Get the most recent info and news about CrowdANALYTIX on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

dataX is a complete product data translation engine that is designed to convert data from suppliers and distributors into a common format, speeding up products to market. We are headquartered in Plano, Texas, and our offices are spread across the United States, Japan and India.

CrowdANALYTIX

When looking at the world of business and data, learning data science cannot be overemphasized. It’s a field that has dramatically changed the way businesses operate. We are in an era of big data and to succeed, companies need data-driven insights to drive decisions. But data science isn’t just about programming and algorithms, it’s also about understanding the data being analyzed. And that’s where datasets come into play. They are crucial for anyone wanting to learn data science. Below is an infographic to indicate the Big Data: Interlude Disclaimer: I am a Data Engineer and not a Data Scientist. My work does mean that I understand what a Data Scientist does and can expect from a Data Engineer. Let me explore how these two fields relate to each other using ’s . I borrowed the red areas in the image from and adapted them to my own situation. Monica Rogati The Data Science Hierarchy Of Needs Christopher Bolard I deal, in my specific case, with the things in the red area with Data Engineer behind it. The Data Scientist/Analyst is concerned with the red area above. I’ll write an article about the how and what of me being a Data Engineer soon. In other cases, you will find that the Data Scientist/Analyst is also involved in the Explore/Transform section in the image. See the article: . Data Engineer VS Data Scientist DATASETS Datasets are collections of (semi-)structured data specially composed for analysis and appear in various forms, such as spreadsheets, CSV files, JSON files and databases. Datasets are essential for data science. They enable you to work with real-world data and gain insights that would otherwise be impossible to discover. Learning data science with datasets is therefore essential because it gives you the necessary skills to turn data into actionable insights. This is something I did at an , to understand the: database. earlier stage I amsterdam City Card Advantages One of the benefits of using datasets in data science is that they provide a real-world context for analysis. Unlike simulated data, datasets are based on real scenarios and are therefore more representative of the issues facing businesses. This means you can learn how to apply analysis techniques to real-world problems. This way you can develop solutions that are relevant and applicable. Another benefit of learning data science with datasets is that it helps you develop a data-driven mindset. Datasets provide an opportunity to understand the nuances of data, such as data quality issues and data bias. These are important considerations because they can have a significant impact on the insights generated from data. By working with datasets, you learn to identify these issues, which is critical for decision-making. In addition, datasets provide a basis for collaboration and knowledge sharing. In the world of data science, people often work together on the same problems and data sets provide a common basis for collaboration. They also allow you to share your insights with others, which can lead to new discoveries and breakthroughs. Competitions & Datasets Below is an overview of the competitions and datasets that I found: DrivenData SIGKDD Innocentive Topcoder Analytics Vidhya Codalab Numerai Open Data Science AIcrowd Biendata OpenML Devpost CrowdANALYTIX Kaggle ML Collective IDAO Machine Hack Grand Challenge Zindi Datasource.ai TuneDit Bitgrit ML Contests Data Register van de Nederlandse Overheid DBNL Dataset PDOK Open Data Rijksoverheid CBS Open data Statline OpenDataNederland.org Our World In Data Open Datasets compiled by Hackernoon Google Finance Google Public Data Google Trends KNMI Dataplatform Planetary Computer Data.gov.be Earthdata (NASA) IGSR: The International Genome Sample Resource PEW Research Center Conclusion In short, learning data science with datasets is essential for anyone who wants to develop the necessary skills to turn raw data into actionable insights. Datasets provide a real-world context for analysis, help you develop a data-driven mindset, and promote collaboration and knowledge sharing. As data continues to play a critical role in business operations, learning data science with datasets is no longer an option but a necessity. By investing in data science education, companies can equip their workforce with the skills needed to make data-driven decisions and drive growth and success. Also published . here

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CROWDANALYTIX

crowdanalytix.com

51-200 employees

Since 2012

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CROWDANALYTIX

EVERGREEN INDEX #2951

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