Machine Learning Tools
Machine Learning Tools Overview
What are Machine Learning Tools?Machine learning tools are applications of Artificial Intelligence that 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. The basic purpose of machine learning software is to build algorithms that are fed large volumes of data and then use statistical tools to predict an output vale.
There are two main kinds of machine learning algorithms:
- Supervised: Supervised algorithms are the most common types of machine learning algorithm. Supervised algorithms are trained by humans by providing both input and desired output, and some additional information about the accuracy of predictions. The algorithm learns from this process and can apply what is has learned to new data.
- Unsupervised: Unsupervised learning is when there is only input data and no corresponding output values. The goal here is to model the underlying data structure in order to learn more about the data.
Machine Learning Products
TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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 Azure Machine Learning Workbench 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.
Amazon TensorFlow enables developers to quickly and easily get started with deep learning 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. 3....
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...
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.
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.
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...
SAP Leonardo is an umbrella name for a family of products in the area of IoT, Machine Learning, Analytics, Blockchain etc technologies.
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...
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.