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The Wolfram Approach to
MACHINE LEARNING
Wolfram has pioneered highly automated machine
learning—and deeply integrated it into the Wolfram
Language—making state-of-the-art machine learning in a
full range of applications accessible even to non-experts.
Develop new-generation efficient approximations
(math function approximations, speeding
up fluid dynamics, ...)
Build systems that automatically adapt
(market conditions, consumer trends,
continuous learning, ...)
Automate estimation tasks
(geolocation, gender, age, ...)
Identify clusters and trends in data
(market segmentation, consumer trends,
automatic visualization, ...)
Standardize free-form or noisy data
Use Wolfram Machine Learning to...
Create embedded intelligent systems
(sensor loops, vision systems, ARM/Raspberry Pi, ...)
(autocorrection, audio denoising, image
deblurring, outlier removal, ...)
Automate creative tasks
Automate human-judgment tasks
(medical diagnosis, quality control, emotion
analysis, not safe for work, ...)
Automatically fill in extra or missing data
(database completion, colorization, depth
reconstruction, ...)
(handwriting synthesis, painting synthesis,
music synthesis, painting from drawing, ...)
Teach about machine learning
(industry, higher education, K–12)
Research new machine-learning
methods and analyses
(visualization, domain-specific methods,
neural network architectures, ...)
Make decisions from large-scale data
(sales forecasting, finding crime hotspots,
consumer patterns, ...)
Automatically tag elements in a large dataset
(spam filtering, sentiment analysis, image
classification, ...)
Create customized realistic imitations
(speech synthesis, voice transfer, face transfer, com-
puter graphics, ...)
Update classic algorithm domains using
machine learning
(signal processing, image processing,
computational chemistry, control theory)
Detect anomalies in data
Recognize or identify objects or categories
(text, faces, brands, languages, ...)
Predict from historical data
(projections, recommendations, logistics, ...)
(computer security, fraud detection,
system monitoring, ...)
and much more...
How It Works in the Wolfram Language
Key Features of Wolfram Machine Learning
Machine Learning
in the Wolfram Language:
Technical Documentation
The Wolfram Language includes a wide range of state-
of-the-art integrated machine learning capabilities, from
highly automated functions like Predict and Classify to
functions based on specific methods and diagnostics,
including the latest neural net approaches. The functions
work on many types of data, including numerical,
categorical, time series, textual, image and audio.
Listing of superfunctions:
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
Share through Wolfram
repositories
Publicly or privately share your
machine-learning models through the
Wolfram Cloud framework and the
Wolfram Neural Net Repository
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
Instant APIs
All Wolfram Machine Learning can
immediately be deployed as web
APIs, in the public Wolfram Cloud or in
Wolfram Enterprise Private Clouds
Explore the complete list of superfunctions:
wolfr.am/ref-ml
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
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
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
Develop & document in Wolfram
Notebooks
Use award-winning Wolfram Notebooks
to develop, document, store and share
your machine-learning projects
Wolfram Neural Net Repository
Advanced neural networks,
immediately computable
Export to standalone networks
All Wolfram neural nets can be exported
to run standalone in separate programs
or on separate hardware
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
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
Top performance
Wolfram Machine Learning uses the
latest methods and libraries, with
full support for GPUs and emerging
hardware and software standards
Leverage prebuilt models and
feature extractors
Dramatically reduce training times
using Wolfram’s expanding library of
models and feature extractors
Building on the Wolfram Language neural net framework,
the Wolfram Neural Net Repository provides a uniform
system for storing neural net models in an immediately
computable form. The repository is built to be a global
resource for neural net models, including those from the
latest research papers, as well as ones trained or created at
Wolfram Research.
The ease of access and use of the repository on desktop, in
the cloud or even on a mobile device brings unparalleled
flexibility to training and deploying AI solutions to a wide
range of problems in business research, data science,
software development and beyond in labs, classrooms or
enterprise.
Explore the latest neural net models:
wolfr.am/nn-repo
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
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
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
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.
Get Started Immediately
Try it out yourself
Start a free trial of Wolfram|One
and apply it to your own projects
wolfr.am/one
Technical Services
Enlist the world’s computation experts to
help with your project—any size, any level.
At Wolfram, we know what’s possible with
computational technology because we are global
leaders in creating it. That gives us an unprecedented
depth of expertise in applying it to consulting work in
a variety of fields.
Whether individual or enterprise, from concept to
deployment, our computation experts can help you
achieve robust results with less time and effort.
Get us started with your project today:
wolfr.am/ts
Machine-learning courses
and tutorials
wolfr.am/u-ml
Elementary introduction to
machine learning
wolfr.am/eiwl-22
© The Wolfram Companies. Trademarks: Wolfram, Wolfram Language, Wolfram|One, Wolfram Cloud, Wolfram Enterprise
Private Cloud, Wolfram Notebook, Wolfram Neural Net Repository, Wolfram Data Repository. All other trademarks, service
marks, registered trademarks and registered service marks are the property of their respective owners.
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