Automated machine learning, also called automated ML, is the method of automating the time-consuming, iterative tasks of creating machine learning models. It allows data scientists, analysts, and developers to create high-scale, efficient, and productivity ML models all while maintaining the quality of the model. Traditional creation of the machine learning model is resource-intensive and involves considerable knowledge of the domain and time to generate and compare hundreds of models. With automated machine learning, you can speed up the time it takes to get the ML models ready for production with great ease and performance. What is Automated Machine Learning? Automated machine learning (AutoML) reflects a paradigm change in the way machine learning and data science approaches organizations of all sizes. It’s time-consuming, resource-intensive and difficult to apply conventional machine learning approaches to real-world business problems. This includes specialists from various fields, including data scientists. Automated machine learning improvements that make it simpler in the real world to create and use machine learning models by running structured processes on raw data and choosing models that generate the most important data. Automated machine learning combines best practices in machine learning from top-ranking data scientists to make data analysis more available across the organization. When to use automated ML Data scientists, analysts, and developers across industries can use automated ML to: Implement machine learning solutions without extensive programming knowledge Save time and resources Leverage data science best practices Provide agile problem-solving Why is Automated Machine Learning Important? Creating a machine learning model manually is a multi-stage process involving domain knowledge, mathematical experience, and computer science skills – which is a lot to ask of one organization, let alone one data scientist. Not only that, but there are also countless opportunities for human error and bias which degrade the accuracy of the model and devalue the insights you may get from the model. Automated machine learning helps companies to use the baked-in expertise of data scientists to build the technologies themselves without wasting time and resources while increasing the return on investment in data science projects and the amount of time it takes to capture value. Automated machine learning makes it possible for businesses in every industry – healthcare, financial markets, fintech, banking, the public sector, marketing, retail, sports, manufacturing, and more – to leverage machine learning and AI technology — technology previously only available to organizations with vast resources at their disposal. By automating most of the modeling tasks necessary to develop and deploy machine learning models, automated machine learning enables business users to implement machine learning solutions with ease, thereby allowing an organization’s data scientists to focus on more complex problems. SOFTIEONS TECHNOLOGIES is providing you all kinds of IT solutions and services like website design and development, app development, digital marketing. We creating a very effective solution for our clients and make it according to our customers’ requirements.