With artificial intelligence almost becoming the buzzword, many people ignore the important role that machine learning plays in enabling AI capabilities. Simply put, machine learning is a subset of AI and is a way to train the machine basis data so that it continues to become better over time. Some of the common examples of machine learning would be recommendation engines, predictive input mechanisms, robust spam protection in emails, and so on. Machine learning software is a category of tools that make it easier for you to create such models. It must be noted that Machine Learning algorithms fall into three categories. In Supervised learning, past data is being fed to the machine to make predictions for the future. In Unsupervised learning, on the other hand, the machine finds hidden patterns in the data. Lastly, reinforcement learning learns from the data but adapts itself to the environment it is in currently and thus continues to improve.
Aginity is an Analytics platform used to manage and record data, history, documentation, and dependencies. Save, find, and execute your code directly from the catalog. Developers, Small, Medium and Large companies make use of the software.
neptune.ml software is a collaboration platform used to manage workflow. Measure progress of experimentation process with Metrics, Hyperparameters, Data versions, Model files, Images, and Source code. Collaborate with teammates, discussions and discover insights in a single place. Freelancers,... read more
Amazon Personalize is a machine learning platform that empowers developers to create individualised recommendations for customers using their apps. With tailored search results and targeted marketing promotions, more sales can be driven. With an easy to use service, Amazon makes it possible for... read more
For a tool to be in the Machine Learning software category, it must: -