Machine learning project involves preparing data, training models, hyperparameters tuning and model compression, and iterating through thousands of models which take days or weeks to do manually. Trendify AutoML aims to fully automate the machine learning process end-to-end, democratizing machine learning for non-experts and drastically increasing the productivity of expert analysts.
Learn moreAutoML does not eliminate the role of the data scientist, but it significantly boosts productivity by automating several different tasks in the data science process.
AutoML frees up the data scientist’s time to work on several projects by aligning with the various functional teams
AutoML democratizes analytics in the organization by creating a new class of citizen data scientists who can create advanced ML models all without having to learn to code.
For data analysts, AutoML can save much of their time in redundant steps which could have been utilized in making the models more optimized by tuning the hyperparameters.
Codes are often prone to errors. AutoML helps to reduce human errors in the common steps. You wouldn’t have to worry about some errors in the former stages which would eventually ruin your future predictions.
Trendify deliver deeper and more actionable insights by taking maximum advantage of your rich enterprise datasets
AutoML will be extremely useful for small companies or startups that can’t afford to hire an ML professional to build their recommendation or sales forecast systems.
Professionals and researchers from other domains of specialization without ML experience can use AutoML for their project without worrying much about the redundant processes of data preparation including model selection.
Leverage the full breadth and diversity of your data with support for large data sets and diverse data types to build better models.
Thanks to Trendify expert analytics teams and the products,we have achieved the financial targets for our litigations process in a short time .
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