H2O.ai
The startup H2O.ai develops open-source Machine Learning (ML) solutions like H2O with the intention of democratising ML.
There are currently 14,000 organisations and about 130,000 data scientists in the H20.ai community, which is growing quickly. Data modelling can be made easier with the help of the open-source data science tool H20.ai.
Here are some of its characteristics:
Python and R, two of the most popular computer languages for data research, were used to construct it. It is easier to implement machine learning because the majority of engineers and data scientists are conversant with R and Python.
It can implement the majority of machine learning techniques, including generalised linear models (GLM), classification algorithms, boosting machine learning, and others. It also facilitates deep learning.
It offers assistance for integrating with Apache Hadoop in order to process and examine enormous amounts of data.
Obtaining a Data Science Course is vital for upskilling and staying current in the workplace.
DataRobot
DataRobot is an AI-powered automation tool that supports the development of accurate predictive models. DataRobot makes it easy to build a wide range of Machine Learning methods, including clustering, classification, and regression models.
Here are some of its characteristics:
supports parallel programming by allowing the use of hundreds of servers to do concurrent data processing, data modelling, validation, and other operations.
It works quickly to build machine learning models, test them, and train them. To identify which model produces the best accurate predictions, DataRobot assesses the models based on a range of use cases.
implements the complete machine learning process on a huge scale. It simplifies and streamlines model evaluation by implementing parameter adjustment and various other validation approaches.
