Machine Learning

January 17, 2017
Introduction When the world’s smartest companies such as Microsoft, Google, Alphabet Inc., and Baidu are investing heavily in Artificial Intelligence (AI), the world is going to sit up and take notice. Chinese Internet giant Baidu spent USD1.5 billion on research and development. And as proof of China’s strong focus on AI and Machine Learning, Sinovation […]
January 17, 2017
“Data is abundant and cheap but knowledge is scarce and expensive.” In last few years, the sources of data capturing have evolved overwhelmingly. No longer companies limit themselves to surveys, questionnaire and other traditional forms of data collection. Smartphones, online browsing activity, drones, cameras are the modern form of data collection devices. And, believe me, that […]
January 12, 2017
Introduction The best way to learn a new skill is by doing it! This article is meant to help R users enhance their set of skills and learn Python for data science (from scratch). After all, R and Python are the most important programming languages a data scientist must know. Python is a supremely powerful and a […]
January 5, 2017
Introduction Recruiters in the analytics/data science industry expect you to know at least two algorithms: Linear Regression and Logistic Regression. I believe you should have in-depth understanding of these algorithms. Let me tell you why. Due to their ease of interpretation, consultancy firms use these algorithms extensively. Startups are also catching up fast. As a result, in an […]
January 2, 2017
Introduction There exists a world for Machine Learning beyond R and Python! Machine Learning is a product of statistics, mathematics, and computer science. As a practice, it has grown phenomenally in the last few years. It has empowered companies to build products like recommendation engines, self driving cars etc. which were beyond imagination until a few years […]
December 28, 2016
Introduction Many people are pursuing data science as a career (to become a data scientist) choice these days. With the recent data deluge, companies are voraciously headhunting people who can handle, understand, analyze, and model data. Be it college graduates or experienced professionals, everyone is busy searching for the best courses or training material to become […]
December 22, 2016
Integrated Development Environment (IDE) An integrated development environment is an application which provides programmers and developers with basic tools to write and test software. In general, an IDE consists of an editor, a compiler (or interpreter), and a debugger which can be accessed through a graphic user interface(GUI). According to Wikipedia, “Python is a widely used […]
December 21, 2016
A 2-day experience at Societe Generale, Bengaluru Societe Generale, one of the largest banks in France, in collaboration with HackerEarth, organized Brainwaves, the annual hackathon at Bengaluru on November 12–13, 2016. The theme of the hackathon this year was “Machine Learning”. The hackathon had an online qualifier from where 85 top teams out of 2200 […]
December 20, 2016
Introduction Last week, we learned about Random Forest Algorithm. Now we know it helps us reduce a model's variance by building models on resampled data and thereby increases its generalization capability. Good! Now, you might be wondering, what to do next for increasing a model's prediction accuracy ? After all, an ideal model is one […]
December 19, 2016
Is it gonna rain today? Should I take my umbrella to the office or not? To know the answer to such questions we will just take out our phone and check the weather forecast. How is this done? There are computer models which use statistics to compare weather conditions from the past with the current […]