About This Course
This program will enhance learners’ existing machine learning and deep learning skills with the addition of natural language processing and speech recognition techniques. These skills can be used in various applications such as part of speech tagging and machine translation, among others. Learners will develop the skills they need to start applying natural language processing techniques to real-world challenges and applications.
- A well-prepared learner should have significant experience with Python and entry-level experience with probability, statistics, and deep learning architectures. Learners should also have the ability to write a class in Python and add comments to their code for others to read. Lastly, learners should have familiarity with the term “neural networks” and the differential math that drives backpropagation.
- Learners need access to a 64-bit operating system with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. The network should allow secure connections to remote hosts (like SSH).