Top 10 Automated Data Science and Machine Learning Platforms in 2020 – Analytics Insight

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  • March 6, 2020
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The employment of Data Science and Machine Learning technologies is at a peak. We can see several software and tools with various innovative features in the market that serve us with the efficiency of new-age data technologies that can potentially increase a business’s efficiency and value proposition. With continuous evolution at scale such solutions too, get revamped with time. Now is the era for automated data science and machine learning software that not only enhance the operational proficiency of such tools but also assist data scientists with great potential. They help automate the repetitive and mundane tasks within the ML or data science processes without compromising model performance and productivity.
Therefore, here is the list of top 10 automated data science and machine learning software presented by some key players of the respective market.

Automatic Business Modeler (ABM)
ABM is a Machine Learning Platform that automatically builds awesome predictive models. It automatically builds predictive models that forecast the future behavior of your clients. It provides full automation of essential, yet time-consuming activities in predictive model construction, such as fast variable selection, variable interaction modeling, and variable transformations or best model selection. ABM requires no programming skills or advanced statistical knowledge of model construction. And it may take only a few minutes to predict almost anything you want, whether a client will churn, buy your product, pay the loan and more.

AutoDiscovery is an intelligent automated exploratory data analysis software that helps Biomed researchers unveiling complex relationships hidden in the data files of scientific experiments and clinical trials. It automatically evaluates the proper statistical tests to assess the relationships between every combination of variables at every individual subset of your data. AutoDiscovery is already been deployed by Pharma companies, hospitals, and universities. AutoDiscovery uses traditional statistical methods and standard Excel files and it is highly compatible in a business environment.

The Automatic Statistician project aims to build artificial intelligence for data science, helping people make sense of their data. The current version of the Automatic Statistician is a system which explores an open-ended space of possible statistical models to discover a good explanation of the data, and then produces a detailed report with figures and natural-language text. The system is based on reasoning over an open-ended language of nonparametric models using Bayesian inference.

Weka is tried and tested open-source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as sci-kit-learn, R, and Deeplearning4j. Auto-WEKA considers the problem of simultaneously selecting a learning algorithm and setting its hyperparameters, going beyond previous methods that address these issues in isolation. Auto-WEKA does this using a fully automated approach, leveraging recent innovations in Bayesian optimization.

Darwin is an automated model building product that allows you to move from data to model deployment in less time than traditional methods, enabling the rapid prototyping of scenarios and extraction of insights. Darwin provides value for Data Scientists by accelerating the prototyping of use cases and refinement of models, streamlining the development and maintenance of thousands of models and controlling every aspect of the process and integrate into the existing toolchain. It automates the most time-consuming steps of the model life cycle ensuring the long term quality and scalability of models.

The DataRobot enterprise AI platform democratizes data science and automates the end-to-end process for building, deploying, and maintaining AI at scale. Powered by the latest open-source algorithms and available in the cloud, on-premise, or as a fully-managed AI service, DataRobot gives you the power of AI to drive better business outcomes. It helps ingest your data, select the target variable, build hundreds of models in one click, explore top models and get insights and deploy the best model. DataRobot is the first and only enterprise AI platform to address all 10 steps required to effectively automate the building and deployment of advanced AI applications.

Anomaly Detection and Prediction powered by Progress® DataRPM™ automates data science enabling asset-intensive organizations to gain exceptional control over the torrent of sensor data coming from every machine. The automated, patented solution detects and predicts anomalies, delivers machine health insights, reduces the time required to develop and operationalize models, and helps data scientists be more effective. Organizations can boost revenue by creating an environment that functions at optimum efficiency. Any asset-intensive industry can benefit from cognitive anomaly detection and prediction.

DMway hands the power to create predictive analytics for non-scientists. By automating complicated processes, it allows an ever-increasing number of departments and individuals to participate in direct value creation. DMway takes all the heavy lifting of advanced statistics and algorithmic equations away from the user. That’s why it only takes minutes to learn and days to master. It captures the experience and best practices of a team of veteran data scientists and mathematicians, delivering their collective wisdom to you with every model.

dotData provides an entirely new way to accelerate and automate your AI and ML projects. Powered by cutting-edge machine learning and AI algorithms, dotData provides the world’s only full-cycle Data Science Platform that can automate 100% of your data science life-cycle. It helps you leverage enterprise data, seamlessly wrangle and prepare data, and it automatically creates production-ready features and models that can be quickly deployed with minimal work. Whether you are a data scientist or a data-savvy analyst, dotData’s full-cycle data science platform helps accelerate the process of getting ROI out of your data.

RapidMiner brings artificial intelligence to the enterprise through an open and extensible data science platform. Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. Its Auto model automatically analyzes data to identify common quality problems like correlations, missing values, and stability; remove problem data columns with a single click; and extract features and categorize text with built-in sentiment analysis and language detection.

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Smriti Srivastava

Smriti is a Content Analyst at Analytics Insight. She writes Tech/Business articles for Analytics Insight. Her creative work can be confirmed She adores crushing over books, crafts, creative works and people, movies and music from eternity!!

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