When we hear the word 'Artificial Intelligence (AI)', most of us think about robots and movies like Her, Ex Machina, iRobot etc.
The mathematical side of AI is Deep Learning (or MultiLayered Neural Networks), which bolsters the learning process by extracting useful features from complex, high-dimensional data sets (e.g. images, text corpus, sound etc.).
Currently, Deep Learning is one the highest priorities for major tech companies around the world. And, this is just the beginning! In the years to come, with more data, the need for using Deep Learning models will become inevitable.
This 30-day challenge is designed to help you learn, understand, and start using Deep Learning methods on unstructured data to solve real-world problems.
Prizes
* Cash, vouchers, or credits of an equivalent amount will be given.
Why should you participate?
Who should participate?
Tutorials
Notes
IBM DSX is a powerful computational engine based on Apache Spark Executors. It has a strong computing capacity in the back end. It currently supports Python, R, and Scala.
Using IBM DSX, you can create a Python, R, or Scala, notebook-based project and create a data connection to your data source. You have options to load all types of Machine Learning algorithms that are supported by runtime from KNN and RandomForest to TensorFlow.
You can export your notebook to us for further validation after you have:
For more information about IBM DSX, see https://datascience.ibm.com/.
You can log in to IBM DSX by using your IBM Bluemix credentials.
There are great prizes to be won
1st Prize
USD 700
2nd Prize
USD 500