Employment in Data Science and Machine Learning is increasing Day by Day. There many software’s and applications in the market with various features that serve us with new-age data technologies. It increases business efficiency and value.
This is the era of automated Data science and machine learning software and tools. It is used to enhance operational proficiency and assisting data scientists with great potential. Repetitive and mundane tasks of machine learning and data science are automated by these tools without compromising the model’s performance and productivity.
Top 10 automated Machine learning and Data Science software and tools are listed below.
ABM(Automatic Business Modeler)
Automatic Business Modeler is a Machine Learning Tool used for creating automated Predictive Models. The automated models created by ABM are used to predict the future behavior of clients. It provides full automation for the time-consuming process of creating a predictive model and selecting best out of the created models.
A Most useful feature of ABM is that it doesn’t require any programming knowledge or any advanced statistical knowledge. And it takes only a few minutes to predict the behaviors of the clients.
AutoDiscovery is an automated tool for Data Analysis. It helps researchers to find the hidden relationship within the data of scientific experiments or clinical trials. It automatically find out the relationships in the data files with proper statistical analysis for every combination of variables at every individual subset of data files.
AutoDiscovery is already being used in pharmaceutical companies, hospitals, and universities. AutoDiscovery uses Traditional Statistical methods and Excel files which is highly compatible with Business Environment.
The Automatic Statistician is an AI-based tool for Data Science to make sense of our own data. The current version of Automatic Statistician used traditional statistical methods to get sense out of data. Then After it produces the detailed report and figures out of the data for the explanation with natural language text. It uses Bayesian references for data analysis and reasoning over a open-ended languages.
It is a Machine Learning Software with a graphical user interface, standard terminal application, and Java API. Weka is mainly used for teaching research. It has also some industrial applications like machine Learning tasks and access to well-known toolboxes such as sci-kit-learn, R, and Deeplearning4j.
Auto-Weka is well known for simultaneously selecting a machine learning algorithm and deciding its hyperparameters which were isolated processes in other automated machine learning tools and software. It does this with fully automated approach with Bayesian optimisation.
Drawin is a model building tool used for faster deployment of data in machine learning models using less time than traditional methods. Drawin gives rapid prototyping of scenarios and extraction of insights.
It helps Data Scientists by prototyping test cases, refining a model, streamlining the development and maintenance of a model and controlling every aspect. It automates the most time-consuming steps of the machine learning life cycle and increases the scalability of the model.
DataRobot is an AI platform for data science which helps end to end process for building, deploying and maintaining AI at scale. It is powered by the latest open-source algorithms and available in the cloud or as a fully managed AI service. DatRobot gives advantages of AI for better business outcomes.
DataRobot selects the target from the data creates hundreds of different models with data, selects the tops models, takes insights of the models and deploys the best model.
DataRPM is an automated tool used for anomaly detection and prediction for Data Science. It provides control over the torrent of sensor data coming from every machine. The automated process of DataRPM detects and predicts anomalies and delivers machines health insights which helps in reducing time for developing operating a model. This helps Data Scientists to become more effective for data.
DMWay is a tool made for predictive analysis but for the non-scientists. DMWay automates all the complicated processes to increase the number of departments and individuals to participate in data and value creation. It takes all the statistical and algorithmic equations from the user.
It’s is the best tool for the user as it is faster and easier to learn and master. It gives the benefits of the Statistics experts and Data Scientists with every model.
dotData is used for accelerating the AI and Machine Learning Project. It is powered by all the Machine Learning and Artificial Algorithms and the world’s only tool which provides a 100% full-cycle Data Science Platform that can automate 100% of your data science life-cycle.
It automatically wrangles and collects data and prepares models for the same data which can be easily deployed with minimal work. Its full cycled platform helps data scientists to boost the process of Data Science.
RapidMiner is a Data Science platform for bringing AI to a Business Enterprise. It unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment for Analytics Team. It automatically analyzes data to find common quality problems like correlations, missing values, and stability. It has built-in Sentiment Analysis and Language Detection
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