One of our clients needed a custom big data analytics system, and that was the task set before the APP Solutions' team of developers and PMs. Read about our approach and solution.
All people have their own opinions about everything. How to do sentiment analysis and what are sentiment analysis features businesses can benefit from?
The real-life applications abound and our data scientists, engineers, and architects can help you define your expectations and create custom ML solutions for your business. Learn what unsupervised ML algorithms can do.
The vast majority of business cases for machine learning use supervised machine learning algorithms to enhance the quality of work and reach business goals. Learn more about real-life applications for supervised ML.
We have teamed up with Google Cloud Platform developers and researchers from the University of Queensland to create an end-to-end streaming pipeline for pathogen detection on Google Cloud Platform.
Predictive analytics in the healthcare system is one of the most useful big data applications because the data can potentially save people's lives. Learn more in our article.
Modern healthcare equipment generates a lot of health data, and this is where Big Data applications can help. Learn more about predictive analytics and data in healthcare.
Conversational UI is slowly but surely becoming a commonplace of the customer services thanks to machine learning and NLP. How can they enhance your users' experience - check out in the article.
The term "big data" can often be heard among the technology-related people. What does it mean, how does it work, and how big is big data?
What is data wrangling (also sometimes known as data preparation or data mining)? How machine learning algorithms can solve the challenges of data munging?
A recommendation engine is a powerful machine learning tool to enhance your users' experience. Learn how it can aid your business to get more engagement.
Machine learning technology is here to stay. However, with the rising amounts of data to process, there should be a good deep learning management platform in place. We think we found the one we like.