Machine Learning Tools

Best Machine Learning Tools include:

Google Cloud AI, Keras, TensorFlow, Amazon SageMaker, and Oracle Machine Learning.

Machine Learning Tools TrustMap

TrustMaps are two-dimensional charts that compare products based on trScore and research frequency by prospective buyers. Products must have 10 or more ratings to appear on this TrustMap.

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.

Common Features

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

Pricing Information

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

(1-25 of 76) Sorted by Most Reviews

71 ratings
32 reviews
Top Rated
The primary mission of RStudio is to build a sustainable open-source business that creates software for data science and statistical computing, including such as the RStudio IDE, R Markdown, shiny, and many packages in the tidyverse.RStudio open source projects are supported by their commercial prod…
Kira Systems
26 ratings
19 reviews
Kira is software that excels at searching and analyzing contract text. Kira offers pre-built, machine learning models covering due diligence, general commercial, corporate organization, real estate and compliance. Using Kira Quick Study, anyone can train additional models that can accurately identif…
30 ratings
12 reviews
TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
OpenText Magellan
20 ratings
10 reviews
OpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.
Oracle Machine Learning (formerly Oracle Advanced Analytics)
121 ratings
9 reviews
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.
Google Cloud AI
31 ratings
6 reviews
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
Amazon SageMaker
15 ratings
5 reviews
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.
13 ratings
3 reviews
Keras is a Python deep learning library
Azure Machine Learning Studio
16 ratings
3 reviews
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.
1 ratings
1 reviews
Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine learning solutions from the ground up i…
Cloudera Data Platform
3 ratings
1 reviews
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies, to deliver the industry’s first enterprise data cloud. CDP delivers self-service analytics across hybrid and multi-cloud environments, along with sophisticated and granula…
Nuance Dragon Speech Recognition
3 ratings
1 reviews
Nuance's Dragon Speech Recognition suite are applications for lawyers, medical practitioners, and other professionals, allowing them to dictate and record notes (according to the vendor) faster than typing, accurately.
IBM Watson Visual Recognition
2 ratings
1 reviews
IBM offers Watson Visual Recognition, a machine learning application designed to tag and classify image data, and deployable for a wide variety of purposes.
Caffe Deep Learning Framework
2 ratings
1 reviews
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 Watson Machine Learning
4 ratings
1 reviews
IBM Watson Machine Learning allows businesses to deploy self-learning models at scale, allowing AI to deployed in applications and available free to try, free for limited use (5 deployed models and 5,000 predictions per month), or at cost for high workloads priced per thousands of predictions.
Amazon Tensor Flow
5 ratings
1 reviews
Amazon TensorFlow enables developers to quickly and easily get started with deep learning in the cloud.
Cloudera Altus
Cloudera Altus is a big data and machine learning platform-as-a-service that enables processing of large-scale data sets and automates massive-scale data engineering or data warehouse workloads in the public cloud. Altus is optimized for AWS and Microsoft Azure, and via Cloudera Altus Director, the …
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. 3. …
Intel Deep Learning 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.
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.
Apache Mahout
Apache Mahout is a distributed linear algebra framework designed to let mathematicians, statisticians, and data scientists implement their own algorithms.
CognitiveScale Cortex 5
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 augme…
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.