Machine Learning

December 16, 2016
Times are changing and have been for a while now. In the world of STEM, women are no longer considered a “bad fit,” which is easily proved by the amazing number of brilliant women in the field today. Women are just as interested in finding out how things work, extracting insight from data, problem-solving, and […]
December 14, 2016
Introduction Treat "forests" well. Not for the sake of nature, but for solving problems too! Random Forest is one of the most versatile machine learning algorithms available today. With its built-in ensembling capacity, the task of building a decent generalized model (on any dataset) gets much easier. However, I've seen people using random forest as a […]
December 6, 2016
Introduction "The road to machine learning starts with Regression. Are you ready?" If you are aspiring to become a data scientist, regression is the first algorithm you need to learn master. Not just to clear job interviews, but to solve real world problems. Till today, a lot of consultancy firms continue to use regression techniques […]
December 1, 2016
What is NLP? If you walk to an intersection of computational linguistics, artificial intelligence, and computer science, you are more than likely to see Natural Language Processing (NLP) there as well. This is what Wikipedia says. NLP involves computers processing natural language—human-generated language and not math or Java or C++. You’ve already seen these famous […]
November 23, 2016
Machine Learning In very simple terms, Machine Learning is about training or teaching computers to take decisions or actions without explicitly programming them. For example, whenever you read a tweet or movie review, you can figure out if the views expressed are positive or negative, but, can you teach a computer to determine the sentiment […]
November 23, 2016
You are probably using machine learning a number of times in a day without even noticing. For instance, whenever you check your mail box, a spam filter saves you from going through spam messages. And that is because it has learned how to distinguish between spam and non-spam mails. That is Machine Learning (ML). To […]
Webinar Date: November 12, 2016
HackerEarth is pleased to announce a webinar on Machine Learning, to help you learn from the best programmers and domain experts from all over the world. In this webinar, we will recap what Machine learning is and various learning branches and algorithms at a broader level. Start with understanding the top on the ground challenges […]
October 26, 2016
Principal component analysis, or PCA, is a powerful tool which is used to analyze data sets and is formulated in the language of linear algebra and statistics. It is an eigenvalue method used to reduce the dimension of a data set while preserving important information. Suppose we have individuals and we measure the same m […]
October 18, 2016
Just about everyone has watched animated movies such as Frozen or Big Hero 6 or has at least heard about 3D computer games. It seems more fun to enjoy the movies and games rather than reading a Linear Algebra book. But it is because of linear algebra that we are able to watch a character […]
October 12, 2016
Data is key for making important business decisions. Depending upon the domain and complexity of the business, there can be many different purposes that a regression model can solve. It could be to optimize a business goal or find patterns that cannot be observed easily in raw data. Even if you have a fair understanding […]