In order to perform classification, the Decision Tree Algorithm uses a sequence that has a structure which mimics a tree. This algorithm divides the dataset into tiny subsets that are used as guides to create Tree Nodes. These tree nodes can either be Decision Nodes or Leaf Nodes, depending upon their function. Decision Node represents a question or […]
Naive Bayes is a classification algorithm which is based on Bayes’ theorem that naively assumes independence between features and gives the same weight (degree of significance) to all features in a given dataset. As a result, the algorithm is founded on the idea that no one feature in a dataset is related to or has an influence on another feature. […]
In short, Machine Learning (ML) is a subset of Artificial Intelligence (AI) that comprises a large variety of algorithms which can learn without having to be manually programmed to accomplish a specific task. ML algorithms are created to find patterns in the input data so that those patterns can be used to make informed predictions in […]
Unsupervised Machine Learning consists of fitting the model to the data without any relationship with an output label, also known as unlabeled data. This means that Unsupervised Machine Learning algorithms try to understand data and find patterns in it. For example – Unsupervised Machine Learning can be used for profiling kids of a school into […]
Supervised Machine Learning is the process of determining the relationship between a given set of features (or variables) and a target value, which is also known as a label or a classification. Which means building ML Models that can take in certain input data and spit out a predicted value. Let’s understand this by taking […]
The world of machine learning is evolving so fast that it’s not easy to find real-world use cases that are relevant to what you’re working on. That’s why we’ve collected these technical blogs from industry thought leaders with practical use cases you can put to work right now. This how-to reference guide provides everything you […]
Vin Vashishta is an Applied Machine Learning Consultant who’s an industry veteran. I thought it would be cool to talk to him about his day to day, how being a consultant (and running his own company) is different to working as an employee, and what advice he has to those looking to break into the field. […]
Machine learning is helping computers to tackle upon the tasks that have previously been only done by people. Either it’s driving cars or translating text from one language to another, either it’s making predictions about weather etc. have been enable by Machine Learning. Nowadays predictions made about Weather, Rain etc. have achieved great accuracy thanks […]
Machine learning have been emerging quite rapidly in the recent years and have impacted lot of industries. In such an environment it’s very crucial for a professional to be up to date with the latest development in Machine learning area. The following list of courses are worth looking at: – 1) Machine Learning Course by […]
