HACKATHONS IN MACHINE LEARNING

Machine Learning has enabled humans to train computer programs to make intelligent real-life decisions with minimal human interactions. With more companies embracing data-based decision making, Machine Learning and Data Science has become an inevitable part of each of these companies.

Whether you are a beginner interested in learning machine learning and data science or a seasoned expert in the field, competitive machine learning challenges are a great way to learn and put to practice what you have learned in the domain.

Machine Learning at HackerEarth:

At HackerEarth, we offer multiple pathways to improve your skills in machine learning and data science.

1. Practice: It is a compilation of tutorials in increasing levels of difficulty similar to a course curriculum. These tutorials are backed with some practical test problems that help you kickstart your journey toward learning machine learning. This section also includes winning approaches and codes for previous HackerEarth-powered Machine Learning and Deep Learning challenges, which will help you learn from the experts.

2. Challenges: To cater to learners with varied interests and different levels of expertise and business with specific requirements, there are three types of challenges:

   • Machine Learning Challenges: These are a series of challenges from different business verticals which gives you an exposure to machine learning problems. These challenges are competitive in nature; if you succeed in training your model better than others, you stand to win prizes. Scroll down for a list of these challenges.

   • Deep Learning Challenges: These are a series of challenges which are similar to competitive machine learning challenges but are focused on testing your skills in deep learning. if you succeed in training your model better than others, you stand to win prizes.

   • Hiring Challenges: These are competitive machine learning challenges conducted by leading businesses to test your skills in Machine Learning/Deep Learning/Data Science with an intention to hire for their team or outsource a project. Additional incentives like prizes and goodies are also offered.

3. Blogs and Webinars: A collection of informative blogs and webinars will help you increase your expertise in the field of machine learning, deep learning, and data science while keeping you up-to-date with the best practices and latest advances.

If you would like to get in touch with us, please mail us at machinelearning@hackerearth.com, or you can join our Machine Learning Slack channel here.