Get yourself trained on Behaviour Patterns with with this Online Training Behaviour Patterns with Machine Learning Techniques.
Online Training Behaviour Patterns with Machine Learning Techniques
Nowadays web-sites needs to handle huge amount of traffic. We can leverage that fact and capture user interactions with the application. For further analysis. Next, we can analyze users behavior and capture patterns on which we are able to react properly.In applications that needs to deal with huge amount of traffic it is very hard to detect anomalies. Well learn how to apply clustering to find anomalies in web traffic. Next, we can analyze users behaviour and when they tend to do on our application using time series data. We will be using GMM clustering technique to achieve that.On the e-commerce sites we want to predict when and what user wants to buy in the future. We can use the Hidden markov Model to find transitions between states and find the transition with highest probability.About the AuthorTomasz Lelek is a Software Engineer, programming mostly in Java, Scala. Fan of microservices architecture, and functional programming. He dedicates considerable time and effort to be better every day. Recently diving into Big Data technologies such as Apache Spark and Hadoop.He is passionate about nearly everything associated with software development. Thinking that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland – Confitura and JDD (Java Developers Day) and also at Krakow Scala User Group.He also conducted live coding session at Geecon Conference.JDD.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.