TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
Machine Learning Tools
Best Machine Learning Tools
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Machine Learning Tools Overview
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.
Most vendors offering machine learning tools include:
Data collection and preparation
Training and application deployment
Some vendors also offer additional tools to
Store aggregated data on the Cloud
Build models with easy drag and drop capabilities
Many vendors offering machine learning tools will offer a free trial or a free version with a limited batch of predictions. After that, prices are generally tiered by price per hour and training units.
Machine Learning Products
Listings (1-25 of 48)
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Microsoft's Azure Machine Learning Studio is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
Keras is a Python deep learning library
Amazon TensorFlow enables developers to quickly and easily get started with deep learning in the cloud.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.
IBM offers Watson Visual Recognition, a machine learning application designed to tag and classify image data, and deployable for a wide variety of purposes.
Cloudera Altus is a platform-as-a-service that enables processing of large-scale data sets in the cloud.
The Intel Deep Learning Cloud, or Intel Nervana, is a deep learning framework based on Nervana Systems' Nervana Cloud AI framework, with industry leading performance on GPUs thanks to its custom assembly kernels and optimized algorithms. Intel acquired Nervana Systems in 2016.
MLlib is Apache Spark's scalable machine learning library.
Apache Mahout is a distributed linear algebra framework designed to let mathematicians, statisticians, and data scientists implement their own algorithms.
SparkPredict from SparkCognition in Austin is a machine learning application, this particular deployment using proprietary cognitive algorithms to supply users with better predictive analytics and faster model building capabilities, notably of use in root cause analysis and design.
Infrrd is a cloud-based AI platform with three fundamental capabilities:1. Computer vision which makes sense of large volumes of images to describe what's in them2. Natural Language processing which makes sense of large volume of text coming from contracts, documents, customer conversations etc. ...
Austin-based CognitiveScale offers Cortex 5, a platform for developing and deploying enterprise-grade artificial intelligence (AI) and AI lifecycle management platform for a variety of purposes such as risk calculation for banking, insurance or healthcare, continuous learning systems, and also au...
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
Gluon is a library for machine learning from Amazon AWS and Microsoft.
Caffe2 is a lightweight deep learning framework from Facebook Open Source.
Torch is a scientific computing framework with wide support for machine learning algorithms.
Boston based Botkeeper is the world's first and original robotic bookkeeper. The Botkeeper solution uses a combination of skilled accountants, machine learning, and AI to provide the best bookkeeping at the lowest possible cost. Instead of replacing your existing accounting software, we'll hook r...
AnswerIQ is an AI solution designed to help customer support teams reduce inbound ticket volume, streamline first contact response, and even make zero touch resolution a reality. From front-end deflection tools to back-end agent assist solutions, AnswerIQ delivers the only end-to-end AI toolkit a...
IBM Watson Machine Learning Accelerator (formerly IBM PowerAI) is a data science as a service platform.
IBM Db2 Analytics Accelerator is an appliance which boosts software query performance, helps manage structured and unstructured data, and prepare data for analysis, machine learning, or other advanced tasks.