MACHINE AIDED ANALYSIS
We provide data solutions.
Machine-aided Analysis
We are a data science organisation that extensively trains machine to undertake data analysis beyond human limits. We communicate results combining dynamic and interactive charts. EkoAnalytIcs reduces usual human errors often associated with large data by training machine to your needs.
Machine Learning Analytics
Machine learning automates the entire data analysis workflow to provide deeper, faster, and more comprehensive insights. How does this work? Machine learning is a subset of AI that leverages algorithms to analyze vast amounts of data. These algorithms operate without human bias or time constraints, computing every data combination to understand the data holistically. Further, machine learning analytics understands boundaries of important information. If asked to identify changes in sales figures, the machine can learn the difference between a $1000 fluctuation and a $200,000 increase, only reporting the latter because that’s the info that actually impacts the company.
Practically, machine learning is invoked in techniques like:
- Computer vision - is the field of artificial intelligence that focuses on training computers to understand visuals. It allows computers to interpret and understand images. We use computer vision to train machines to recognize objects and people in images. An excellent example of computer vision is facial recognition technology.
- Deep Learning — an advanced branch of machine learning that focuses on making a machine function like a human brain and it helps in generating patterns and make smarter decisions. Deep learning has expanded substantially in the past few years and some of its notable applications include virtual assistants, self-driving cars, fraud detection, NLP, and news aggregation.
- Natural language processing (NLP) - focuses on training machines to understand and interpret text or symbols. It is a branch of artificial intelligence and has many applications.
