Machine Learning is the new normal in data analytics world. At Powerupcloud, we have been building several machine learning engine over the past 3 years, helping businesses with extract rich insights from their data.
Powerupcloud’s highly experienced machine learning engineers and data scientists can help you identify the right algorithms and implement machine learning engines for your business.
Understand customer’s business problems and identify the need for machine learning implementations
Build centralized data lake which serves as the data source for ml engines
Identify the right algorithms for the given problem and implement the same
Train the engines using training data and iterate with multiple data sources & parameters
Test the model against test data and implement the model with continuous feedback loop for accuracy improvement
Be it website recommendations or behavioral recommendations, machine learning plays a major role in tracking customer’s behavior and recommending them with right products to convert a sale. Gone are the days of hardcoding recommendations. With machine learning, now you can train and deploy high accuracy recommendation engines in not time.
Another popular use case in the machine learning world. Prediction engines uses history data to understand a behavior and predict the occurrence of the same based on numerous influencing parameters. Sales predictions, failure predictions, pattern predictions are some common applications of prediction algorithms.
Data analytics, for a long time, was mostly writing your SQL queries on normalized structured data. But with the introduction of HDFS based machine learning platforms, the analytics landscape changed quickly. Today, machine learning is applied heavily in data analytics exercises.