NEXTGEN
Artificial Intelligence
Insights and Prediction
Our data scientists will implement a machine learning solution that drives insights and predictions that drive action. Some real-world use cases are lead scoring, stock market prediction, buying potential and audience definition which drives revenues
Our data scientists create machine learning models based on different machine learning methods namely supervised, unsupervised, semi-supervised and reinforced learning, In order to accomplish this. Several complex machine learning models are utilized to achieve the desired results
Machine Learning Models
Machine Learning Algorithms
Our data scientists will determine which machine learning algorithms to use to implement a solution. Some of the algorithms used are Linear regression, Logistic regression, decision tree, SVM algorithm.
Naive Bayes algorithm, KNN algorithm and K-means
Our data scientists are abstract, out of the box thinking unicorns who will figure out which elemental influencers to combine into the production of a machine learning model even if those elements do not appear dot connecting at first