Machine Learning is an application of artificial intelligence (AI) which provides the ability to produce desired results through adaptive learning and continuous improvement of processes through prior experience.
In recent times, the demand of data science and machine learning has increased in such a way that it has outpaced the avialbility of highly skilled Data Scientists and Machine Learning experts. For this reason, the area of ML remained inaccessible and highly expensive. Predictive data analysis was out of reach for businesses with small IT budgets, SMEs, independent professionals, journalists, social activists, etc.
The increasing demand of data science is responsible for the big strides in developing user-friendly machine learning software that can be utilized by non-experts. Automated machine learning (AutoML) came into the picture to automatically find and train machine learning models so the models no longer need to created by ML Experts — The AutoML Algorithms will analyze your data and pick the best model for you. AutoML also takes out the need for hyperparameter tuning and data augmentation.
There is still a fair bit of knowledge and background in data science that is required to produce high-performing machine learning models with a better accuracy %, but in most cases AutoML will suffice the industry need of predictive or perspective analysis.
Data-Core Systems' developers and ML experts created a platform so everyone can access and afford Machine Learning. With the AutoML platform, businesses and individuals can create their individual ML solutions without the knowledge of complex ML Algorithms.
Data-Core's cloud based AutoML platform can be integrated with leading standard AutoML providers in the Industry, currently supporting Azure, Google, H20.ai AutoMLs - helping circumvent technical obstacles and providing an easy and concise way to develop your own AI and ML solutions.
Data-Core Systems has created the platform with a Build Your Own approach.
Contact us to learn more and schedule an AutoML Demo.