Machine Learning

Webinar Date: February 27, 2017
HackerEarth is pleased to announce its next webinar to help you understand on Machine Learning work. About the Session: Ever felt overwhelmed by the plethora of machine learning and data science information? Not sure which algorithms to use to scope out your problem? Matthew Kirk can help you get started. He’s the author of Thoughtful […]
January 30, 2017
Introduction Deep Learning isn't a recent discovery. The seeds were sown back in the 1950s when the first artificial neural network was created. Since then, progress has been rapid, with the structure of the neuron being "re-invented" artificially. Computers and mobiles have now become powerful enough to identify objects from images. Not just images, they can […]
Webinar Date: February 12, 2017
HackerEarth is pleased to announce its next webinar to help you understand what it really takes to become a data scientist. Agenda of this webinar will include answers to these questions: - Why is it the best time to take up Data Science as a career? - How can you take the first step in […]
January 21, 2017
"Data Scientist: Sexiest Job of the 21st century"- Harvard Business Review, 2012 Talking of more recent times, Glassdoor also named it the "best job of the year" for 2016. Where did the title "Data Scientist" come from? It has been there in the market for less than a decade. It was coined by Dr. Dhanurjay Patil, […]
January 19, 2017
Introduction Clustering algorithms are a part of unsupervised machine learning algorithms. Why unsupervised ? Because, the target variable is not present. The model is trained based on given input variables which attempt to discover intrinsic groups (or clusters). As the target variable is not present, we can't label those groups. Then, how is it done? That's the interesting part […]
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 […]