ML Application Development
MACHINE LEARNING CHALLENGES
Much of real-world data is unstructured – images, video, audio, text, etc. With the abundance of data science tools on the market today, it’s possible to make sense of this data by training machines – software – to interpret, categorize, and identify meaningful patterns and trends.
Tools help, but they only get us so far. What makes the difference is having a fundamental knowledge of the concepts that underpin the tools and being able to refine and optimize approaches to generate the desired result.