Machine Learning solves complicated real-world tasks in a scalable way: Recommendation Systems, Patterns Recognition, Behavior Forecasting and Data Clustering are some of the problems our Data Science Team works on.
Data is growing faster than ever before and by the year 2020, it is expected that about 1.7 megabytes of new information will be created every second for every human being on the planet. This amount of data cannot be processed using traditional methods. Machine Learning has already matured to the point where it should be a vital part of organizations’ strategic planning and Hexacta is the perfect partner for that.
What We Do
Data Engineering: The second step is to manipulate the data so it can be used to train the model. Feature discovery and data clean-up are essentials in this phase.
Model Training: Using different techniques and the most advanced algorithms we create and evaluate models that are able to predict the desired behavior.
Solution Implementation: After reaching a success threshold in our model we are ready to implement it in the real world.