Conditional Random Fields: A 2021 Overview February 17, 2021No Comments Introduction Imagine you have a sequence of various snapshots and you are willing to label each of them with the activity they are representing. How would you do that? One way is to avoid the sequential nature of these snapshots and develop per image classified for each of them. However, by avoiding the sequential aspect […] Read more → Introduction Imagine you have a sequence of various snapshots and you are willing to label each of them with the activity they are representing. How would you do that? One way is to avoid the sequential nature of these snapshots and develop per image classified for each of them. However, by avoiding the sequential aspect […] Hidden Markov Model: A Comprehensive Overview (2021) February 16, 2021No Comments Introduction You may be wondering what a Hidden Markov Model (HMM) is. Well, this model is a global branch in the world of Machine Learning. It helps solve real-life problems, including Natural Language Processing (NLP) problems, Time Series, and many more. You will be studying many concepts that fall under this topic, Hidden Markov Model. […] Read more → Introduction You may be wondering what a Hidden Markov Model (HMM) is. Well, this model is a global branch in the world of Machine Learning. It helps solve real-life problems, including Natural Language Processing (NLP) problems, Time Series, and many more. You will be studying many concepts that fall under this topic, Hidden Markov Model. […] Bayesian Belief Networks: An Introduction In 6 Easy Points No Comments Introduction Everyday Data Science professionals solve numerous problems with the help of newly developed and sophisticated AI technologies, Machine Learning and Advanced analytics. The main objective while solving these problems is to offer very reliable and error-free results. But it is important to present a list of actionable drivers of the model output used by […] Read more → Introduction Everyday Data Science professionals solve numerous problems with the help of newly developed and sophisticated AI technologies, Machine Learning and Advanced analytics. The main objective while solving these problems is to offer very reliable and error-free results. But it is important to present a list of actionable drivers of the model output used by […]