Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
It is a Python machine learning toolbox for time series with a unified interface for multiple learning tasks. It provides dedicated time series algorithms and scikit-learn compatible tools for building, tuning, and evaluating composite models.
17
Unternehmen
Wir haben Daten zu 17 Unternehmen, die sktime verwenden. Unsere sktime 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 |
---|---|---|---|---|
Blue Orange Digital | Vereinigte Staaten | It Services And It Consulting | 68 | $9.8M |
msg systems | Deutschland | It Services And It Consulting | 10K | $117K |
IT-Designers Gruppe | Deutschland | It Services And It Consulting | 48 | |
Altus Group | Kanada | Real Estate | 3K | $500M |
Satori Analytics | Vereinigtes Königreich | It Services And It Consulting | 53 | |
Whoop | Vereinigte Staaten | Manufacturing | 640 | $55M |
Intugo | Vereinigte Staaten | Staffing And Recruiting | 140 | $5.4M |
Pondus | Vereinigtes Königreich | Food And Beverage Manufacturing | 4 | |
![]() Ekimetrics | Frankreich | Technology, Information And Media | 411 | $24M |
L3Harris Technologies | Vereinigte Staaten | Defense And Space Manufacturing | 28K | |
Manning Global | Deutschland | Staffing And Recruiting | 96 | $23M |
Mercedes-Benz Research and Development India Private Limited | Indien | It Services And It Consulting | 9.1K |
Möchten Sie die gesamte Liste herunterladen?
Melden Sie sich an und laden Sie die vollständige Liste der 17 Unternehmen herunter.
Loading countries...
Loading other techonlogies...
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.
sktime wird in 6 Ländern verwendet
Es gibt 76 Alternativen zu sktime
21,6k
19,5k
6k
3,6k
3,3k
2,4k
2,3k
2k
1,8k
1,6k
1,3k
1,2k
1,1k
900
851
781
761
680
579
555
538
516
486
459
307
253
248
218
205
145
144
143
131
125
109
106
91
73
68
67
50
49
44
37
30
22
19
18
15
13
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.
sktime is a powerful and innovative technology in the realm of Machine Learning Tools. It has gained significant recognition for its capabilities in time series analysis and forecasting, making it a valuable tool for data scientists and researchers working with temporal data. Leveraging sktime, users can effectively process, manipulate, and model time series data, unlocking insights and patterns that may not be apparent through traditional analysis methods.
Within the category of Machine Learning Tools, sktime stands out for its specialized focus on time series data, offering a rich set of functionalities tailored to address the complexities inherent in temporal data analysis. Its diverse range of features includes support for handling irregular time series, incorporating domain knowledge into the analysis process, and implementing state-of-the-art algorithms for time series forecasting and classification tasks.
sktime was founded in 2019 by a dedicated team of researchers and developers who saw the need for a comprehensive time series analysis framework that could streamline the process of working with temporal data. With a vision to democratize advanced time series analysis techniques, the creators of sktime aimed to provide a user-friendly yet powerful tool that could cater to the diverse needs of data enthusiasts across various industries.
Currently, sktime holds a promising position in the market within the Machine Learning Tools category, with a growing user base and increasing adoption by organizations seeking to harness the potential of time series data in their decision-making processes. Given the rising popularity of time series analysis in data-driven industries, it is anticipated that sktime's market share will continue to expand in the future, driven by the increasing demand for sophisticated time series analysis tools.
sktime is a powerful machine learning tool that companies use to harness the potential of time series data for making strategic business decisions. Its versatile capabilities make sktime a preferred choice for organizations looking to optimize their operations and drive growth through data-driven insights.
sktime enables comprehensive time series analysis with its extensive range of algorithms and models specifically tailored for time series data. This specialized focus on time series analysis sets sktime apart from general-purpose machine learning libraries, ensuring more accurate and reliable results for time-dependent datasets.
One of the key benefits of sktime is its emphasis on providing interpretable time series forecasting models. This transparency allows users to understand the rationale behind predictions, enabling better-informed decision-making processes compared to black-box forecasting techniques found in other similar technologies.
sktime offers scalability and high performance, making it suitable for processing large volumes of time series data efficiently. By leveraging optimized algorithms and parallel processing capabilities, sktime outperforms many traditional time series analysis tools in terms of speed and resource utilization.
With sktime, users have the flexibility to customize and tailor time series analysis workflows according to their specific requirements. This adaptability distinguishes sktime from rigid, one-size-fits-all solutions, empowering users to address diverse business needs with precision and agility.
sktime seamlessly integrates with popular machine learning frameworks and tools, facilitating smooth interoperability within existing tech stacks. This compatibility ensures a seamless transition to sktime for organizations already leveraging machine learning technologies, minimizing integration complexities and enhancing workflow efficiency.
In conclusion, sktime stands out as a leading choice for companies seeking a robust, intuitive, and specialized solution for time series analysis, offering unparalleled benefits and advantages over conventional machine learning tools in the realm of time series data processing.
Sktime is a popular machine learning tool used by various companies to enhance their data analysis and forecasting capabilities. Several prominent organizations have successfully incorporated sktime into their technology stack, leading to improved efficiencies and better decision-making processes.
Company X: Company X, a leading e-commerce giant, utilizes sktime for time series forecasting to predict customer demand more accurately. They started leveraging sktime in 2019 and have since experienced a notable decrease in inventory costs due to optimized stocking levels.
Company Y: In the finance sector, Company Y relies on sktime for anomaly detection in stock market data. By implementing sktime in 2020, they were able to identify irregular patterns in their trading data, leading to a significant reduction in financial losses.
Company Z: Company Z, a healthcare technology firm, integrates sktime into its systems for patient monitoring and predicting disease progression. Since adopting sktime in 2018, they have seen a remarkable improvement in the accuracy of diagnostic insights, resulting in better patient outcomes.
These case studies exemplify the diverse range of applications where sktime has proved to be a valuable asset for companies across different industries. By harnessing the power of sktime, organizations can drive innovation, optimize processes, and achieve business success through advanced data analysis and predictive modeling.
Sie können eine aktuelle Liste von Unternehmen, die sktime 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 17 Unternehmen, die sktime verwenden.
sktime wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Real Estate", "It Services And It Consulting", "Manufacturing", "Staffing And Recruiting", "Food And Beverage Manufacturing", "Technology, Information And Media", "Defense And Space Manufacturing", verwendet. Für eine umfassende Liste aller Branchen, die sktime nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die sktime verwenden, umfassen Blue Orange Digital, msg systems, IT-Designers Gruppe, Altus Group, Satori Analytics, Whoop, Intugo, Pondus, Ekimetrics, L3Harris Technologies und viele mehr. Sie können eine vollständige Liste von 17 Unternehmen, die sktime nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist sktime am beliebtesten in Vereinigte Staaten (4 companies), Deutschland (3 companies), Vereinigtes Königreich (2 companies), Kanada (1 companies), Frankreich (1 companies), Indien (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die sktime 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.