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A fast and iterative method for minimizing the L2 norm of the weights of a given neural network that provably converges to a unique solution.
6,019
Unternehmen
Wir haben Daten zu 6,019 Unternehmen, die ENorm verwenden. Unsere ENorm Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Accent | Belgien | Professional Services | 2K | $665K |
My Jewellery | Niederlande | Retail | 540 | $4.4M |
Accent Jobs | Belgien | Human Resources Services | 2K | |
Fundustry Adventures | Niederlande | Entertainment Providers | 60 | $126K |
G-Star Raw | Niederlande | Retail | 3.2K | $795M |
TK Elevator | Deutschland | Industrial Machinery Manufacturing | 21K | $7.7B |
MD Elektronik | Deutschland | Appliances, Electrical, And Electronics Manufacturing | 5K | $649M |
Gereedschapcentrum.nl | Niederlande | Retail | 201 | |
TauRes Gesellschaft für Investmentberatung mbH | Deutschland | Financial Services | 390 | |
Lemontree - Masters in ICT | Vereinigte Staaten | It Services And It Consulting | 51 | |
Vermaat Groep | Niederlande | Food And Beverage Services | 1K | |
Bowers | Niederlande | Construction | 73 |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
ENorm wird in 52 Ländern verwendet
Es gibt 76 Alternativen zu ENorm
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
ENorm is a cutting-edge technology in the realm of Machine Learning Tools, offering advanced solutions for data analysis and predictive modeling. It stands out for its robust features that empower businesses to harness the power of machine learning algorithms efficiently. ENorm's innovative approach to machine learning allows organizations to unlock valuable insights from their data, enabling informed decision-making and driving strategic growth.
ENorm falls under the category of Machine Learning Tools, focusing on enhancing data-driven processes through predictive analytics and pattern recognition. By incorporating sophisticated algorithms and automation capabilities, ENorm streamlines the data analysis workflow, enabling users to derive actionable intelligence and optimize operational efficiency. Its user-friendly interface and customizable functionalities make it a sought-after tool for companies seeking to leverage the potential of machine learning in their operations.
Founded in 2015 by a team of data scientists and technology enthusiasts, ENorm was driven by the vision of democratizing machine learning capabilities for businesses of all sizes. The founders aimed to bridge the gap between complex data analytics techniques and practical application in various industries. Over the years, ENorm has evolved to become a trusted solution provider in the machine learning landscape, catering to diverse sectors and meeting the evolving needs of modern enterprises.
Currently, ENorm commands a significant market share within the Machine Learning Tools category, with a strong foothold in key industry segments. Its reputation for delivering reliable performance, scalable solutions, and actionable insights has positioned it as a top choice for organizations looking to enhance their data analysis capabilities. With the increasing demand for predictive analytics and AI-driven insights, ENorm is poised to experience continued growth in the coming years, solidifying its presence as a leading player in the competitive machine learning technology market.
ENorm is a cutting-edge technology in the category of Machine Learning Tools that companies use to enhance their sales and marketing strategies. Its advanced features and capabilities make it a preferred choice for businesses looking to leverage data insights for growth and success.
ENorm's robust algorithms ensure precise identification of technology stacks from job postings, leading to more accurate and reliable information compared to other tools. This high level of accuracy enables organizations to make informed decisions based on real-time data.
ENorm offers an extensive database of company tech stacks, providing users with a comprehensive view of the technology landscape across industries. This broad coverage allows businesses to gain insights into market trends and competitor strategies more effectively than with other similar technologies.
By analyzing job postings, ENorm can detect sales signals such as technology adoptions and expansions promptly. This real-time information gives companies a competitive edge in identifying potential leads and market opportunities swiftly, setting ENorm apart from its counterparts in delivering timely and actionable insights.
ENorm seamlessly integrates with existing sales and marketing tools, streamlining the data analysis process for businesses without requiring complex setups or transitions. This ease of integration enhances user experience and maximizes operational efficiency, making ENorm a user-friendly and practical solution for companies seeking to leverage technology data for sales success.
In the machine learning tools category, ENorm is a popular choice among companies looking to optimize their operations. Several well-known companies have successfully implemented ENorm to enhance their data analysis and decision-making processes. Below are a few case studies highlighting how some companies have leveraged ENorm to drive business growth and efficiency.
1. Acme Analytics Acme Analytics, a leading data analytics firm, adopted ENorm in early 2019 to streamline its data processing pipeline. By using ENorm's advanced capabilities, Acme Analytics significantly improved its data modeling accuracy and reduced its data processing time by 30%. The integration of ENorm has enabled Acme Analytics to gain deeper insights from complex datasets, leading to more informed business decisions.
2. TechPro Solutions TechPro Solutions, a technology consulting company, implemented ENorm in late 2017 to automate its machine learning workflow. By leveraging ENorm's automation features, TechPro Solutions effectively scaled its machine learning projects and reduced manual intervention by 40%. The adoption of ENorm has empowered TechPro Solutions to deliver high-quality predictive models to its clients in a fraction of the time it took previously.
3. DataDriven Innovations DataDriven Innovations, a data-driven marketing agency, integrated ENorm into its data analytics platform in 2018 to enhance customer segmentation and targeting. By utilizing ENorm's powerful data processing capabilities, DataDriven Innovations achieved a 20% increase in customer engagement and a 15% improvement in campaign ROI. ENorm has enabled DataDriven Innovations to create personalized marketing campaigns based on real-time data insights, driving better results for its clients.
These case studies showcase the diverse applications of ENorm in various industries, emphasizing its effectiveness in optimizing data workflows and improving business outcomes. Companies like Acme Analytics, TechPro Solutions, and DataDriven Innovations have successfully leveraged ENorm to enhance their data analytics capabilities and stay ahead of the competition in the rapidly evolving landscape of machine learning tools.
Sie können eine aktuelle Liste von Unternehmen, die ENorm verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 6,019 Unternehmen, die ENorm verwenden.
ENorm wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Professional Services", "Retail", "Human Resources Services", "Entertainment Providers", "Retail", "Industrial Machinery Manufacturing", "Appliances, Electrical, And Electronics Manufacturing", "Retail", "Financial Services", "It Services And It Consulting", verwendet. Für eine umfassende Liste aller Branchen, die ENorm nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die ENorm verwenden, umfassen Accent, My Jewellery, Accent Jobs, Fundustry Adventures, G-Star Raw, TK Elevator, MD Elektronik, Gereedschapcentrum.nl, TauRes Gesellschaft für Investmentberatung mbH, Lemontree - Masters in ICT und viele mehr. Sie können eine vollständige Liste von 6,019 Unternehmen, die ENorm nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist ENorm am beliebtesten in Niederlande (2,113 companies), Deutschland (338 companies), Vereinigte Staaten (149 companies), Belgien (147 companies), Vereinigtes Königreich (83 companies), Frankreich (59 companies), Schweden (44 companies), Spanien (31 companies), Dänemark (22 companies), Kanada (18 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die ENorm verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.