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Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.
私たちはGraphLab Createを使用している1社のデータを持っています。このキュレーションリストはダウンロード可能で、業界分類、組織の規模、地理的位置、資金調達ラウンド、収益数値などの重要な会社の詳細が含まれています。
会社 | 国 | 業界 | 従業員 | 収益 |
---|---|---|---|---|
MOTION-ISE | フランス | It Services And It Consulting | 9 | $2.4M |
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技術使用統計と市場シェア
このデータは、地理、業界、企業規模、収益、技術使用状況、求人情報などでフィルタリングすることにより、あなたのニーズに合わせてカスタマイズできます。データはExcelまたはCSV形式でダウンロードできます。
このデータのアラートを受け取ることができます。興味のある技術を選択すると、その技術を使用している新しい企業がある場合に受信ボックスにアラートが届きます。
彼のデータをExcelファイルにエクスポートでき、それはあなたのCRMにインポートできます。また、そのデータをAPIにエクスポートすることもできます。
GraphLab Createには18の代替案があります。
よくある質問
私たちのデータは、何百万もの企業から収集された求人情報に基づいています。私たちはこれらの求人情報を企業のウェブサイト、求職掲示板、およびその他の採用プラットフォームで監視しています。求人情報を分析することで、企業が使用している技術や内部ツールの利用状況を理解するための信頼性の高い方法を提供します。
私たちはデータを毎日更新して、利用可能な最新の情報にアクセスできるようにしています。この頻繁な更新プロセスにより、私たちのインサイトとインテリジェンスが業界内の最新の展開とトレンドを反映していることを保証します。
GraphLab Create is a powerful data science platform that enables users to perform machine learning tasks with ease. It provides a wide range of tools and functionalities that streamline the process of building and deploying machine learning models. With GraphLab Create, users can explore, preprocess, model, and evaluate their data all within a single integrated environment. This technology is particularly popular among data scientists and machine learning engineers due to its user-friendly interface and comprehensive feature set.
GraphLab Create falls under the category of Machine Learning as a Service (MLaaS), which refers to the delivery of machine learning capabilities as a cloud-based service. In this category, GraphLab Create stands out for its versatility and scalability, allowing users to tackle a variety of machine learning tasks across different industries. Whether it's predictive modeling, natural language processing, or recommendation systems, GraphLab Create offers a range of tools to support these applications.
Founded in 2009 by a group of researchers from Carnegie Mellon University, GraphLab Create started as an open-source project aimed at democratizing machine learning and making it more accessible to a wider audience. The team's motivation was to create a platform that could simplify the complexities of building and deploying machine learning models, empowering users to leverage the power of data science in their projects.
Currently, GraphLab Create holds a significant market share within the MLaaS category, thanks to its robust feature set and ease of use. With the growing demand for machine learning solutions across industries, it is expected that GraphLab Create's market share will continue to expand in the future. As organizations increasingly recognize the value of data-driven decision-making, platforms like GraphLab Create are poised to play a central role in driving innovation and growth in the machine learning space.
TheirStack provides valuable insights about companies that leverage GraphLab Create as part of their technology stack, particularly in the Machine Learning as a Service category. GraphLab Create remains a popular choice among companies due to its versatility, efficiency, and user-friendly features.
Benefits of GraphLab Create:
1. Comprehensive Machine Learning Solutions:
GraphLab Create offers an extensive array of machine learning tools, ranging from data preprocessing to model deployment. This all-in-one solution streamlines the entire machine learning workflow, making it a preferred choice for companies seeking end-to-end capabilities. Unlike other technologies that may require integrating multiple tools, GraphLab Create provides a seamless experience that enhances productivity and simplifies complex tasks.
2. Scalability and Performance:
One of the key advantages of GraphLab Create is its scalability and efficient performance when handling large datasets. By leveraging distributed computing and optimized algorithms, GraphLab Create delivers high-speed processing and robust performance, even with massive datasets. This scalability sets it apart from traditional machine learning frameworks that may struggle with handling big data efficiently.
3. User-Friendly Interface:
GraphLab Create stands out for its intuitive and user-friendly interface, which caters to both novice and experienced users. Its interactive visualizations, easy-to-use APIs, and extensive documentation make it easy for teams to collaborate and expedite the development of machine learning models. In comparison to other technologies that may have steep learning curves, GraphLab Create empowers users to focus on innovation rather than grappling with complex tools.
In summary, companies choose GraphLab Create for its comprehensive solutions, scalability, performance, and user-friendly interface, making it a top choice in the Machine Learning as a Service domain.
GraphLab Create is a powerful machine learning platform used by several prominent companies to drive innovation and enhance their data analytics capabilities. Here are some real-world case studies showcasing how companies leverage GraphLab Create to achieve their business objectives:
1. Zillow Zillow, a leading real estate marketplace, utilizes GraphLab Create to enhance its property value estimation algorithms. By leveraging the platform's advanced machine learning capabilities, Zillow has improved the accuracy of its home value predictions, providing users with more reliable information. The company began using GraphLab Create in 2017, and since then, it has helped Zillow streamline its data processing workflow and deliver more precise property valuations to its customers.
2. Airbnb Airbnb, a global online marketplace for lodging and tourism experiences, utilizes GraphLab Create to optimize its recommendation system. By leveraging the platform's machine learning algorithms, Airbnb can personalize recommendations for users based on their preferences and behavior patterns. The company integrated GraphLab Create into its platform in 2016, and since then, it has significantly enhanced the user experience by offering tailored suggestions that cater to individual preferences.
3. Pinterest Pinterest, a popular visual discovery engine, harnesses the power of GraphLab Create to improve its content recommendation algorithms. By utilizing the platform's machine learning capabilities, Pinterest has been able to enhance user engagement by delivering personalized content that aligns with users' interests and preferences. Since incorporating GraphLab Create into its data analytics framework in 2015, Pinterest has seen a substantial increase in user interactions and content discovery, driving higher levels of user satisfaction and retention.
These case studies highlight how companies across different industries leverage GraphLab Create to unlock the full potential of their data and drive meaningful business outcomes. By integrating this powerful machine learning platform into their workflows, organizations can gain valuable insights, optimize operations, and enhance customer experiences.
TheirStack.com を訪問すると、GraphLab Create を使用している企業の最新リストにアクセスできます。当社のプラットフォームは、さまざまな技術や内部ツールを活用している企業の包括的なデータベースを提供します。
現在、1 社が GraphLab Create を使用しているデータを保持しています。
GraphLab Create は "It Services And It Consulting" を含む様々な業界の多様な組織によって使用されています。GraphLab Create を利用しているすべての業界の包括的なリストについては、TheirStack.com をご覧ください。
GraphLab Create を使用している企業の中には、MOTION-ISE などが含まれています。他にも多くの企業があります。GraphLab Create を使用している 1 社の完全なリストは TheirStack.com で見つけることができます。
私たちのデータによれば、GraphLab Create は フランス (1 companies) で最も人気があります。しかし、世界中の企業で使用されています。
TheirStack.comでGraphLab Createを検索することにより、{technology.name}を使用している企業を見つけることができます。 theirstackは、数百万の企業からの求人情報を追跡し、それらが使用している技術や内部ツールを発見します。
GraphLab Createは1か国で使用されています