Machine Learning

March 24, 2017
Introduction Short stories or tales always help us in understanding a concept better but this is a true story, Wal-Mart’s beer diaper parable. A sales person from Wal-Mart tried to increase the sales of the store by bundling the products together and giving discounts on them. He bundled bread and jam which made it easy […]
March 23, 2017
With less than 3 days to go, this script is meant to help beginners with feisty ideas, machine learning workflow and motivation for ongoing machine learning challenge. Here's a quick workflow of what I've done below: Load data and explore Data Pre-processing Dropped Features One Hot Encoding Feature Engineering Model Training Good Luck! Note: For more […]
March 17, 2017
Toward the end of 2016, Google DeepMind made their machine learning platform, DeepMind Lab, publicly available. Despite warnings from experts like Professor Stephen Hawking, Google’s decision to expose its software to other developers is part of a movement to further develop the capabilities of machine learning. They aren’t the only ones though. Facebook made its […]
March 15, 2017
Introduction "In the past 2,000 years, the hardware in our brains has not improved... In the next 30 years, AI will overtake human intelligence," says Softbank CEO Masayoshi Son. If you’ve read Ray Kurzweil’s "The Singularity is Near: When Humans Transcend Biology," you’d expect that AI is going to exhibit human-level intelligence in a decade […]
March 9, 2017
Introduction Machine Learning is tricky. No matter how many books you read, tutorials you finish or problems you solve, there will always be a data set you might come across where you get clueless. Specially, when you are in your early days of Machine Learning. Isn't it ? In this blog post, you'll learn some […]
March 7, 2017
Introduction Deep Learning algorithm is one of the most powerful learning algorithms of the digital era. It has found a unique place in various industrial applications such as fraud detection in credit approval, automated bank loan approval, stock price prediction etc. Some of the more recent uses of neural networks are image recognition and speech recognition. In fact, you'd be amazed […]
March 7, 2017
Introduction Gradient Descent Algorithm is an iterative algorithm to find a Global Minimum of an objective function (cost  function) J(Ө). The categorization of GD algorithm is for accuracy and time consuming factors that are discussed below in detail. This algorithm is widely used in machine learning for minimization of functions. Here,the algorithm to achieve objective goal […]
March 6, 2017
Introduction "This hot new field promises to revolutionize industries from business to government, health care to academia," says the New York Times. People have woken up to the fact that without analyzing the massive amounts of data that’s at their disposal and extracting valuable insights, there really is no way to successfully sustain in the […]
February 21, 2017
Introduction Data classification is a very important task in machine learning. Support Vector Machines (SVMs) are widely applied in the field of pattern classifications and nonlinear regressions. The original form of the SVM algorithm was introduced by Vladimir N. Vapnik and Alexey Ya. Chervonenkis in 1963. Since then, SVMs have been transformed tremendously to be used […]
Webinar Date: March 9, 2017
HackerEarth is pleased to announce its next webinar on IBM Watson, to help you learn from the best programmers and domain experts from all over the world. Agenda of this webinar: 1. A Technical introduction to Watson Discovery Service 2. How the Watson Discovery Service help find insights from unstructured data? 3. How to add […]