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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
entreprises
Nous disposons de données sur 17 entreprises qui utilisent sktime. Notre liste de clients sktime est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Blue Orange Digital | États-Unis | It Services And It Consulting | 68 | $9.8M |
msg systems | Allemagne | It Services And It Consulting | 10K | $117K |
IT-Designers Gruppe | Allemagne | It Services And It Consulting | 48 | |
Altus Group | Canada | Real Estate | 3K | $500M |
Satori Analytics | Royaume-Uni | It Services And It Consulting | 53 | |
Whoop | États-Unis | Manufacturing | 640 | $55M |
Intugo | États-Unis | Staffing And Recruiting | 140 | $5.4M |
Pondus | Royaume-Uni | Food And Beverage Manufacturing | 4 | |
![]() Ekimetrics | France | Technology, Information And Media | 411 | $24M |
L3Harris Technologies | États-Unis | Defense And Space Manufacturing | 28K | |
Manning Global | Allemagne | Staffing And Recruiting | 96 | $23M |
Mercedes-Benz Research and Development India Private Limited | Inde | It Services And It Consulting | 9.1K |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
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sktime est utilisé dans 6 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
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.
Vous pouvez accéder à une liste actualisée des entreprises utilisant sktime en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 17 entreprises qui utilisent sktime.
sktime est utilisé par une large gamme d'organisations dans divers secteurs, y compris "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". Pour une liste complète de tous les secteurs utilisant sktime, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent sktime incluent Blue Orange Digital, msg systems, IT-Designers Gruppe, Altus Group, Satori Analytics, Whoop, Intugo, Pondus, Ekimetrics, L3Harris Technologies et bien d'autres encore. Vous pouvez trouver une liste complète des 17 entreprises qui utilisent sktime sur TheirStack.com.
Selon nos données, sktime est le plus populaire dans États-Unis (4 companies), Allemagne (3 companies), Royaume-Uni (2 companies), Canada (1 companies), France (1 companies), Inde (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant sktime en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.