Top 10 Interesting AutoML Software to Look Out For in 2022



by Disha Sinha

February 3, 2022

AutoML software

AutoML software helps in automating manual tasks to boost the productivity of ML models

There has been a huge growth in machine learning owing to the high demand for automated machine learning software (AutoML). Global tech companies have started using multiple AutoML software for creating different machine learning models or applications without any professional knowledge. The main aim is to efficiently automate all regular, manual, and tedious workloads. Multiple AutoML software or AutoML tools are available on the internet to make it more accessible to aspiring AI developers and other professionals. The global automated machine learning market size is expected to hit US$14,830 million in 2030 with a CAGR of 45.6%. Thus, let’s explore some of the top ten interesting AutoML software to look out for in 2022.

 

Top ten interesting AutoML software in 2022

Google Cloud AutoML

Google Cloud AutoML is one of the top AutoML software to train custom machine learning models with limited machine learning expertise as per the business needs. It offers simple, secure, and flexible products with an easy-to-use graphical interface.

 

JADBio AutoML

JADBio AutoML is a leading AutoML tool to avail user-friendly machine learning without coding. Aspiring or beginners in data science, researchers, and more can use this software of AutoML to start with machine learning and interact with the machine learning models efficiently. There are only five steps to use AutoML— prepare the data for analysis, perform predictive analysis, discover knowledge, interpret the result, and apply the trained machine learning model.

 

BigML

BigML is one of the popular software of AutoML to make machine learning simple and easy to transform a business into the next level with multiple machine learning models and platforms. This automated machine learning software provides a comprehensive platform, immediate access, interpretable and exportable models, collaborations, automation, flexible deployments, and many more features.

 

Azure Machine Learning

Azure Machine Learning is one of the top AutoML software to build and deploy machine learning models with Microsoft Azure. Automated machine learning software helps to identify suitable algorithms as well as hyper-parameters faster. It empowers multiple professional as well as non-professional data scientists by automating time-consuming as well as mundane tasks of model development. This AutoML tool helps to boost machine learning model creation with the automated machine learning no-code UI or SDK.

 

PyCaret

PyCaret is known as an open-source and low-code machine learning library in Python to help automate machine learning models. It is popular as an end-to-end machine learning as well as a model management tool to boost productivity efficiently and effectively. The features of this automated machine learning software include data preparation, model training, hyperparameter tuning, analysis and interpretability, and many more.

 

MLJAR

MLJAR is one of the top AutoML software to share Python Notebooks with Mercury while receiving the best results with MLJAR AutoML. It is the state-of-the-art automated machine learning software for tabular data. It helps to build a complete machine learning pipeline with advanced feature engineering, algorithms selection, and tuning, automatic documentation, as well as ML explanation. It is known for providing four built-in modes in the MLJAR AutoML framework.

 

Tazi.ai

Tazi.ai is a well-known AutoML tool for understandable continuous machine learning from real-time data and humans. It helps to allow business domain experts while use machine learning to gain predictions. The software of AutoML uses machine learning models with three algorithms such as supervised, unsupervised, and semi-supervised.

 

Auto-Keras

Auto-Keras is a leading AutoML software based on Keras to make machine learning accessible to everyone without any prior knowledge of machine learning models and applications. It is only compatible with Python>=3.7 and TensorFlow>=2.8.0.

 

H2OAutoML

H2OAutoML caters to the demand for machine learning experts with the development of user-friendly machine learning software. This AutoML tool is focused on simplifying machine learning while developing simple and unified interfaces to multiple machine learning algorithms. It helps to automatically train and tune machine learning models within a user-specified time limit.

 

MLBox

MLBox is one of the top automated machine learning software and Python library with multiple useful features such as fast reading and distributed data pre-processing, cleaning, and formatting, accurate hyper-parameter optimization in high-dimensional space, prediction with models interpretation, as well as state-of-the-art predictive models for classification and regression.

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