Our blog explains more about machine learning here.
MACHINE LEARNING THAT IS ORGANISED & EFFICIENT
We support our clients in streamlining and organising data. We help prepare data sets for effective ML model training, and identify areas for improving ML model performance or reducing its complexity. Our clients can be assured that their data is accurate, safe and neutral.
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Our Process :
Our Team Inspects Your Data to Ensure it is Structured in a Way That Accommodates a Machine Learning Model. The Machine Learning Model Must Always be Reliable and Accurate. We Are Keen Observers of the Phrase “Garbage in, Garbage Out” Meaning That a Machine Learning Can Only be as Reliable as The Data it has Been Given.
Our Team Works With You to Prepare Your Data in a Clean and Structured Way. This Means Removing Missing Values, Rows and Columns and Duplicate Values etc. Your Data is Then Restructured in a Way That is Clear and Logical for Both Humans and Machines.
There is no One Size Fits All Machine Learning Model. Our Team Will Advise on Which Model is Most Relevant to the Task at Hand. Our Team Have Various Models Developed for Different Data Formats. This Ranges From Audio, Visual and Text to Numerical sets of Data.
This is the Most Important Stage of Our Machine Learning Service. Our Team Will Then Input Your Prepared Data Into the Machine Learning Model. The Machine Learning Model Will Then Find Patterns and Make Predictions. After a Period of Time The Model Will Get Better at Predicting.
Once The Machine Learning Model has Produced Satisfactory Predictions, it is Then Tested. Our Team Tests The Model by Inputting Fresh Structured Data That The Machine Has Never Seen Before. Once The Machine Has Passed All of Our Team’s Tests it is Then Launched for Commercial Use.