Suggested Categories:

Statistical Analysis Software
Statistical analysis software assists in the interpretation of gathered data in order to determine if there are business opportunities and chances of increasing revenue.
Deep Learning Software
Deep learning software provides tools and frameworks for developing, training, and deploying artificial neural networks, particularly for complex tasks such as image and speech recognition, natural language processing (NLP), and autonomous systems. These platforms leverage large datasets and powerful computational resources to enable machines to learn patterns and make predictions. Popular deep learning software includes frameworks like TensorFlow, PyTorch, Keras, and Caffe, which offer pre-built models, libraries, and tools for designing custom models. Deep learning software is essential for industries that require advanced AI solutions, including healthcare, finance, automotive, and entertainment.
Language Learning Software
Language learning software offers structured programs designed to teach users new languages through interactive lessons and exercises. These platforms typically include modules for grammar, vocabulary, pronunciation, and listening comprehension, helping learners build foundational language skills. Many language learning software options utilize multimedia tools, such as audio, video, and quizzes, to reinforce lessons and keep users engaged. Some software also offers tracking features to monitor progress and set personalized learning goals. With the flexibility to learn at one's own pace, these tools make it possible to study languages from beginner to advanced levels, often providing support for multiple languages.
Machine Learning Software
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation.
Online Learning Platforms
Online learning platforms enable users to learn about a wide variety of topics. Online learning platforms, sometimes known as MOOCs (Massive Open Online Courses) or EdTech platforms, allow anyone to learn new topics and skills. Online learning platforms can be used by individuals, or by companies and organizations that want to educate and upskill their employees.
Learning Management Systems (LMS)
A Learning Management System, or LMS, is a software platform used to create, deliver and manage online training programs. They provide instructors with the ability to design course content, track learner progress, assess performance and generate reports. Learners also benefit from self-paced learning options that are available through most systems. Additionally, an LMS can be tailored to meet specific organizational needs such as providing specialized learning paths for different job roles.
Mobile Learning Software
Mobile learning software enables learners to access educational content and training materials on mobile devices, such as smartphones and tablets, enhancing flexibility and accessibility. These platforms typically offer features like interactive lessons, quizzes, progress tracking, and multimedia content that can be accessed anytime, anywhere. Mobile learning software is widely used for both formal education and corporate training, providing users with a more engaging, personalized learning experience. By using this software, businesses and educational institutions can deliver content to learners on-the-go, increase engagement, and improve knowledge retention.
Learning Experience Platforms
Learning Experience Platforms (LXPs) are advanced digital platforms designed to deliver personalized, engaging, and learner-centric education and training experiences. They aggregate content from various sources—such as courses, videos, articles, and social learning—and use AI to recommend relevant learning paths based on individual needs and preferences. LXPs support interactive features like social collaboration, gamification, and assessments to boost learner motivation and retention. By integrating with Learning Management Systems (LMS) and other HR tools, they provide seamless tracking and analytics of learning progress. Ultimately, LXPs empower organizations to foster continuous skill development and adapt learning to the evolving needs of employees and learners.
Learning Analytics Software
Learning analytics software helps educational institutions and organizations collect, analyze, and interpret data related to learner behavior, engagement, and performance. It tracks activity across learning platforms to identify patterns that impact outcomes, retention, and skill development. The software provides dashboards and reports that enable educators and administrators to make data-driven decisions and personalize learning experiences. Many solutions integrate with learning management systems to deliver real-time insights and predictive analytics. By turning learning data into actionable insights, learning analytics software improves instructional effectiveness and learner success.
Social Learning Platforms
Social learning platforms are online tools that facilitate the exchange of knowledge and information between individuals. These platforms enable users to connect with others who share similar interests or goals, allowing them to engage in meaningful discussions and collaborative learning activities. They often offer a variety of features such as discussion forums, virtual classrooms, and interactive content to enhance the learning experience. Users can also track their progress and receive feedback from peers and instructors on these platforms. Overall, social learning platforms provide a convenient and accessible way for individuals to learn new skills and expand their knowledge through interaction with others.
Active Learning Software
Active learning tools in artificial intelligence are systems designed to enhance the efficiency of machine learning by strategically selecting the most valuable data points for training.
eLearning Content Providers
eLearning content providers create and deliver educational materials and courses in digital formats, making learning accessible online. They offer a wide range of content, from professional training and certifications to academic subjects and personal development. These providers often use multimedia elements—such as videos, quizzes, and interactive exercises—to enhance engagement and understanding. With scalable platforms, eLearning content providers cater to diverse audiences, including corporations, educational institutions, and individual learners. Their goal is to make quality education flexible and accessible, supporting learning anywhere, anytime.
AI Language Learning Software
AI language learning apps use artificial intelligence to help users learn new languages more efficiently by personalizing the learning experience. These apps often offer interactive lessons, voice recognition, and real-time feedback to improve pronunciation, grammar, and vocabulary. The AI algorithms adapt to the user's learning pace, strengths, and weaknesses, providing tailored exercises and challenges.
Machine Learning as a Service Software
Machine Learning as a Service (MLaaS) platforms provide users with cloud-based access to pre-trained models and algorithms for predictive analytics and data analysis. MLaaS makes machine learning accessible by eliminating the need to develop and maintain complex infrastructure, instead allowing users to leverage remote computing resources in order to generate insights quickly and easily. These platforms vary in terms of features, services and pricing, offering different combinations designed to cater to a range of user needs.
eLearning Authoring Tools
eLearning authoring tools are software platforms that enable educators, instructional designers, and businesses to create interactive and engaging online learning content. These tools allow users to design courses, lessons, quizzes, and assessments without needing extensive programming knowledge. Features typically include drag-and-drop functionality, multimedia integration (text, images, videos, audio), and SCORM or xAPI compatibility for integration with Learning Management Systems (LMS). Some eLearning authoring tools also support responsive design, enabling content to be viewed on various devices like desktops, tablets, and smartphones. They are commonly used to develop courses for corporate training, academic programs, and professional development.
Corporate Learning Management Systems Software
Corporate learning management systems (LMS) are software platforms that help companies manage, track and deliver employee training. They provide a centralized repository for all the educational resources a company makes available, as well as tracking and reporting tools to measure progress. An LMS can also be used to create customized individual learning plans or onboarding experiences.
Healthcare Learning Management Systems (LMS)
Healthcare learning management systems (LMS) are digital platforms used to help healthcare organizations improve their education and training processes. They provide features such as course and content authoring, user tracking and reporting, mobile device accessibility and more. With these tools, healthcare providers can optimize their training methods for better patient outcomes.
AI-Based Learning Management Systems Software
AI-based learning management systems (LMS) leverage artificial intelligence to enhance the educational experience by personalizing learning paths for each student. These systems use algorithms to analyze learners' progress and adapt content, making recommendations based on individual strengths, weaknesses, and preferences. AI-powered LMS can automate administrative tasks, such as grading and feedback, allowing instructors to focus more on interaction and engagement. Additionally, they provide real-time analytics, offering insights into student performance, engagement levels, and overall learning trends.
Hospitality Learning Management Systems (LMS) Software
Hospitality Learning Management Systems (LMS) provide a comprehensive solution to the challenges of staff training and compliance in the hospitality industry.
Learning Content Management Systems (LCMS) Software
A learning content management system (LCMS) is a software application designed to facilitate the creation, organization, and delivery of educational materials. It allows users to upload, organize, and manage course content such as videos, documents, and interactive quizzes.
View more categories (20) for "statistical learning"

12 Products for "statistical learning" with 1 filter applied:

  • 1
    Posit

    Posit

    Posit

    Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on...
  • 2
    MATLAB

    MATLAB

    The MathWorks

    MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you...
  • 3
    SAS Business Intelligence
    Get the right information to anyone who needs it. Integrate and discover data on your own. Create and share interactive reports. Spark your curiosity with easy-to-use analytics. And monitor key metrics so when something goes awry, you'll know why – and what to do about it. Quickly gain insights using automated analysis backed by machine learning, with easy-to-understand natural language explanations. Visually explore all relevant data, and quickly spot hidden relationships. Compelling...
    Starting Price: $8000 per year
  • 4
    GAUSS

    GAUSS

    Aptech Systems

    ...Prototype to production: Embed custom GAUSS analytics directly in enterprise or web-applications. Customizable programs that extend the GAUSS platform in the fields of econometrics, finance, risk analysis, statistics and more. You can code ideas and techniques straight from the latest journals in GAUSS as quickly as you can with a pen and paper. The GAUSS matrix language is the most natural way to bring cutting edge math, statistics and machine learning to life. GAUSS is the product of more than three decades of innovation and refinement of efficient, native code. ...
  • 5
    Jupyter Notebook

    Jupyter Notebook

    Project Jupyter

    The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
  • 6
    JupyterLab

    JupyterLab

    Jupyter

    ...JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. ...
  • 7
    Chaos Box
    An AI engine that uses the Chaos Box algorithm to analyze real-time player inputs and dynamically generate NPC responses and new storylines based on Deep Reinforcement Learning. It can support massively emergent behaviors for AIs and NPCs in games without even a single script. Different from DeepMind and OpenAI, we are exploring more in the multi-agent and multi-objective scenario as for Reinforcement Learning. In this scenario, the behavior patterns for each different agent should coordinate and connect with each other to generate reasonable and dramatic story experience, helping the game production team significantly enhance every, no matter simple or complicated, statistics that can measure the user conversion rate in these experience-driven scenarios. ...
  • 8
    Rinalogy Search
    Almost any search query applied to Big Data returns a very large number of results that are often practically impossible to review. Every user has specific needs. Finding information based on a user query and general data statistics does not produce useful results. eDiscovery, healthcare, financial services, crime, consulting, academia and other fields need to be able to quickly find accurate information. Rinalogy Search is a next generation search tool that uses machine learning to interactively learn from each user to return personalized results based on user’s feedback in real time. ...
    Starting Price: $50 per month
  • 9
    NuGet

    NuGet

    NuGet

    ...The command-line tool, nuget.exe, builds and runs under Mono 3.2+ and can create packages in Mono. Although nuget.exe works fully on Windows, there are known issues with Linux and OS X. The primary source for learning about a package is its listing page on NuGet (or another private feed). Each package page on NuGet includes a description of the package, its version history, and usage statistics.
    Starting Price: Free
  • 10
    Aretec

    Aretec

    Aretec

    Empowering informed choices, uncovering opportunities, and gaining a competitive edge through our state-of-the-art data and analytics solutions in a data-driven landscape Unlock business growth through our data science and AI proficiency. We leverage machine learning, algorithms, and statistics for informed, data-driven decision-making. Turn your concepts into tangible solutions through our customized web and mobile app development. We breathe life into your vision. We lead in cybersecurity, embedding analytics at the heart of defense. Our expertise lies in automated monitoring, detection, and responsive security solutions, safeguarding your digital assets comprehensively. ...
  • 11
    Electric Twin

    Electric Twin

    Electric Twin

    Electric Twin is an AI-powered synthetic audience simulation platform that builds virtual populations from real data so teams can instantly predict how target consumers will think, behave, and respond to products, messages, campaigns, and strategic questions without running traditional surveys or panels. It combines large language models, machine learning, and social science theory to create detailed synthetic personas that mirror real-world audiences and can be queried to produce quick, distribution-accurate insights that match the statistical patterns of live research with high fidelity, often achieving accuracy comparable to conventional methods but in seconds instead of weeks. ...
  • 12
    DataTester

    DataTester

    ByteDance

    ...DataTester's server-side testing is hassle-free, with an automated selection of the most suitable statistical method between conversion, per-user and click-through rate metrics.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB
Gen AI apps are built with MongoDB Atlas
Atlas offers built-in vector search and global availability across 125+ regions. Start building AI apps faster, all in one place.
Try Free →