Use Wolfram Machine Learning to...
Automate human-judgment tasks
(medical diagnosis, quality control, emotion analysis, not safe for work, ...)
Make decisions from large-scale data
(sales forecasting, finding crime hotspots, consumer patterns, ...)
Recognize or identify objects or categories
(text, faces, brands, languages, ...)
Automate estimation tasks
(geolocation, gender, age, ...)
Predict from historical data
(projections, recommendations, logistics, ...)
Detect anomalies in data
(computer security, fraud detection, system monitoring, ...)
Automatically fill in extra or missing data
(database completion, colorization, depth reconstruction, ...)
Automatically tag elements in a large dataset
(spam filtering, sentiment analysis, image classification, ...)
Build systems that automatically adapt
(market conditions, consumer trends, continuous learning, ...)
Identify clusters and trends in data
(market segmentation, consumer trends, automatic visualization, ...)
Create customized realistic imitations
(speech synthesis, voice transfer, face transfer, computer graphics, ...)
Automate creative tasks
(handwriting synthesis, painting synthesis, music synthesis, painting from drawing, ...)
Develop new-generation efficient approximations
(math function approximations, speeding up fluid dynamics, ...)
Create embedded intelligent systems
(sensor loops, vision systems, ARM/Raspberry Pi, ...)
Standardize free-form or noisy data
(autocorrection, audio denoising, image deblurring, outlier removal, ...)
Teach about machine learning
(industry, higher education, K–12)
Research new machine-learning methods and analyses
(visualization, domain-specific methods, neural network architectures, ...)
Update classic algorithm domains using machine learning
(signal processing, image processing, computational chemistry, control theory)
and much more...
Ready to apply Wolfram Machine Learning in your work?
Start a free trial Contact our experts about custom solutionsHow It Works in the Wolfram Language
Key Features of Wolfram Machine Learning
Top performance
Wolfram Machine Learning uses the latest methods and libraries, with full support for GPUs and emerging hardware and software standards
Full spectrum of methods
State-of-the-art support for classic machine-learning methods (logistic regression, SVM, random forests, ...), as well as the latest neural net and deep-learning advances
Always state-of-the-art
With its aggressive development process and constantly updated Neural Net Repository, Wolfram gives you rapid access to the latest advances in machine learning—all integrated with its automated system
Desktop, cloud, embedded, ...
Wolfram Machine Learning is immediately and seamlessly available across desktop, cloud, embedded and other platforms—leveraging Wolfram's long-term hybrid deployment strategy
Absolutely any kind of data
The Wolfram Machine Learning system has built-in support for numerical data, images, text, sounds—and arbitrary data represented through the Wolfram Language's symbolic structure
Complete automation
Wolfram has pioneered complete automation of the machine-learning process, from data preparation to method and hyperparameter selection—allowing non-experts to take full advantage of advanced machine learning
Total flexibility for experts
The Wolfram Machine Learning system provides an elegantly designed framework for complete access to all elements of the machine-learning pipeline
Integrated into your workflow
Through its deep integration into the Wolfram Language, Wolfram Machine Learning immediately fits into your existing workflows, allowing you to easily add machine learning anywhere
Develop & document in Wolfram Notebooks
Use award-winning Wolfram Notebooks to develop, document, store and share your machine-learning projects
Leverage prebuilt models and feature extractors
Dramatically reduce training times using Wolfram's expanding library of models and feature extractors
Data wrangling is built in
The Wolfram Language's unprecedentedly powerful data handling capabilities are completely integrated with the Wolfram Machine Learning system—so you don't need separate pre or post-processing
Instant APIs
All Wolfram Machine Learning can immediately be deployed as web APIs, in the public Wolfram Cloud or in Wolfram Enterprise Private Clouds
Export to standalone networks
All Wolfram neural nets can be exported to run standalone in separate programs or on separate hardware
Instant access to training data
Use Wolfram's vast knowledgebase—as well as the Wolfram Data Repository—for instant access to large-scale datasets for training
Share through Wolfram repositories
Publicly or privately share your machine-learning models through the Wolfram Cloud framework and the Wolfram Neural Net Repository
Breakthrough symbolic neural nets
Wolfram Machine Learning includes Wolfram's breakthrough symbolic framework for neural nets, providing uniquely modular and manipulable capabilities for future neural net advances
Resources for Wolfram Machine Learning
Why Speak the Wolfram Language...
Underlying everything we do is the Wolfram Language. Designed for the new generation of programmers, the Wolfram Language has a vast depth of built-in algorithms and knowledge, all automatically accessible through its elegant unified symbolic language.
- Built-in Computable Knowledge
- World's Largest Algorithmbase
- Document-Based Workflow
- High-Level Automation
- Instant Computable Knowledge
- Multiparadigm Language
- Integrated All-in-One Platform
- Symbolic-Numeric Methodology
- Broad Subject Coverage
- Universality of Platform
- Natural Language Integration
- Interactive Interfaces
Scalable for programs from tiny to huge, with immediate deployment locally and in the cloud, the Wolfram Language builds on clear principles—and 30+ years of development—to create what promises to be the world's most productive programming language.
