What is Machine Learning ?
Machine learning is a computerised data analysis based on methods like Decision Trees, D3 and Neural Networks that learns large amounts of data and interpret and make predictions without being supervised.
There is currently an increase in the number of research done by both practitioners and academics on this topic. The increasing trend is confirmed by the likes of Gardner, listing Advanced Machine Learning as one of the top 10 information technology trends for 2016.
The question that comes in one's mind is how much improvement has been made in machine learning since the times of Robert,1961 when he reported that an International conference held by UNESCO in 1959 had dedicated the whole section on machine learning. In 1989, Carbonell also reported in his research that there has been an annual conference dedicated to machine learning. Both authors also mentioned the increase in articles that were published in the topic.
This clearly tells us that the concept of machine learning has always been of interest and one that promises improvement in how data is analysed, interpreted and used.
This blog is dedicated to uncovering the journey of machine learning.
The next episode will talk about the methods, successes, challenges and learning of machine learning prior to the 20th century.