Machine Learning Tools
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Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment.…
The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to…
KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
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Streamlit is an open-source Python library designed to make it easy to build custom web-apps for machine learning and data science, from the company of the same name in San Francisco. Streamlit also hosts its community's Streamlit Component offered via API to help users get started.…
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom…
OpenAI headquartered in San Francisco, aims to ensure that artificial general intelligence benefits all of humanity. OpenAI’s API provides access to GPT-3, which performs a wide variety of natural language tasks, and Codex, which translates natural language to code.
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Azure OpenAI Service, a service from Microsoft's Azure suite available in preview, includes pre-generated AI models that enable users to apply advanced coding and language models to a variety of use cases, enabling new reasoning and comprehension capabilities for building applications.…
IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend uses machine learning to help uncover insights and relationships in unstructured data. The service identifies the language of…
Roboflow creates software-as-a-service products to make building with computer vision easier. Developers can use Roboflow to manage image data, annotate and label datasets, apply preprocessing and augmentations, convert annotation file formats, train a computer vision model in one-…
A Machine Learning PlatformTechnology used to create a custom Machine Learning model based upon a website's content from a scrape, resulting in a ChatGPT-based website chatbot that can be used for customer support, sales assistance, lead generation, etc.In addition to scraping the…
MosaicML offers a fully managed infrastructure and software tools that enable users to train and deploy large-scale machine learning models. They optimize every layer of the model development process from algorithms to systems to hardware, to drive insights. MosaicML was acquired…
PaddlePaddle is an R&D deep learning platform from developers in China, open-sourced to professional communities since 2016 and available free under an Apache 2.0 license. It is an industrial platform with features that cover core deep learning frameworks, basic model libraries, end-…
Data annotation services provided by Label Your Data prioritize security and quality for Computer Vision and Natural Language Processing applications.
Flyte is a workflow automation tool for machine learning applications. Flyte workflows are typesafe directed graphs of independent tasks that can be visualized and reasoned about. Union Cloud extends the power of Flyte to ML engineers who want to build data and ML products free from…
Flyte is a workflow automation tool for machine learning applications, available open source and supported by Union.ai.
Aitomatic is a Knowledge-First App Engine for Industrial AI that helps companies automatically translate their domain expertise, combine it with machine learning, and automate everything on a SaaS platform.
Picovoice is a developer-first voice AI platform with a mission to accelerate the adoption of voice AI. Acknowledging the limitations of the cloud and lack of transparency, Picovoice differentiates itself by on-device processing, publishing open-source benchmarks and making its technology…
NimbleBox is a full-stack MLOps platform designed to help data scientists and machine learning practitioners around the world discover, create, and launch multi-cloud applications on an intuitive browser-based platform. The vendor states their platform is purpose-built for large…
MindTitan implements AI and Machine Learning solutions that perform simple tasks for users, to allow them to concentrate on the most important tasks and improve customers’ experience.Specifically, they offer advanced AI chatbot and callbot for customer service designed to resolve…
PyTorch is an open source deep learning framework. PyTorch on AWS using Amazon SageMaker presents a fully managed machine learning service used to build, train, and deploy PyTorch models at scale. For managing one's own infrastructure, one can use the AWS Deep Learning AMIs or the…
Amazon Elastic Inference allows users to attach just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance, Amazon SageMaker instance, or ECS task. Users pay for the accelerator hours used. It is designed to be used with AWS’s enhanced versions of TensorFlow…
AWS Deep Learning Containers allows users to set up deep learning environments with optimized, pre-packaged container images, an IaaS solution that consists of Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning (ML) environments…
An AWS DeepComposer keyboard can be used to create a melody that will transform into a completely original, AI-created song in seconds.
Imandra, in Austin, aims to revolutionize algorithm design, regulation, transparency and governance by democratizing automated reasoning. They describe their eponymous software Imandra as a cloud-native automated reasoning engine for analysis of algorithms used to bring rigor and…
Superb AI headquartered in San Mateo provides a machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient…
Activeloop is presented as a fast and simple framework for building and scaling data pipelines for machine learning, from the company of the same name (also known as Snark AI, Inc) in San Francisco.
The Supervisely platform, from the company of the same name in San Jose, covers the R&D lifecycle for computer vision. It allows users to integrate from image annotation to neural networks training, organize image annotation, data management & manipulation within a single platform.…
Learn More About Machine Learning Tools
What are Machine Learning Tools?
Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.
They can be used, for example, to build recommendation engines, predict search patterns, filter spam, build news feeds, detect fraud and security threats, and much more. There are four types of machine learning algorithms: supervised, unsupervised, semi-supervised, and reinforced.
Supervised algorithms are machine learning tools with training wheels. They require a person to program both the input and the desired output, as well as provide feedback as to the accuracy of the end results.
Unsupervised algorithms require very little human intervention by instead using an approach called “deep learning” to review massive banks of data and arrive at conclusions based on previous examples of training data; they are, therefore, generally used for more complex processing tasks such as image recognition, speech-to-text, and natural language generation.
Semi-supervised algorithms tend to fall in the middle ground.
Reinforced algorithms force models to repeat a process until it produces the most favorable outcomes. Attempts that produce these favorable outcomes are rewarded and attempts that produce unfavorable results are penalized until the algorithm learns the optimal process.
Machine Learning Tools' Features & Capabilities
Most vendors offering machine learning tools include:
- Data collection and preparation
- Model building
- Training and application deployment
Additional Tools
Some vendors also offer additional tools to
- Store aggregated data on the Cloud
- Build models with easy drag and drop capabilities
- Access libraries with pre-modeled routines and functions
Machine Learning Tools Comparison
When beginning your process for a machine learning tool with which to get started, walk through the following flow of questions to help you narrow down your options:
- Am I looking for a managed machine learning platform? (Think time-and-cost efficiency.)
- Do I need a mobile-supported tool?
- For what scripting language do I need support? (R, Python, Java, C++, etc.)
- If you're on a budget, ask yourself: Can I effectively manage my training data with the storage space I have? (You may need to consider moving to the cloud, which is typically more expensive.)
- Do I need support for multiple model types? (Binary, regression, multi-class, etc.)
- Would I prefer having an extensive library with which to start?
- Are my projects expected to grow (and thus requiring a need for scalability)?
- Do I need a full cycle deep learning system?
Ready to start comparing your shortlist head-to-head? Start a Machine Learning Tools comparison
Pricing Information
Many vendors offering machine learning tools will offer a free trial or a free version with a limited batch of predictions. There are several free and open-source machine learning platforms, like Google's Tensorflow, for developers on a budget. For paid plans, prices are generally Pay-As-You-Go, tiered by price per hour and training units, typically starting at $0.10/Unit/Hour. Deep learning capabilities are typically more expensive, at $1+/GPU/Hour.