Natural Language Processing (NLP) is one of the many applications of Artificial Intelligence, which is making waves in so many industries. From eCommerce chatbots to customer support departments, to even tech giants like Google and Amazon are using it for making voice support systems for better human interactions.

That’s why, we are bringing forth all the necessary concepts of Natural Language Processing using Python, in this complete specialisation course. This course is divided into the following four main parts:
1) Text preprocessing methods and Vector models.
2) Probability and Markov models.
3) Some popular machine learning methods.
4) Deep learning and neural network methods.
Along. the course, you’ll learn about why vectors are so crucial in Data Science and Artificial Intelligence. You will also learn about some basic embedding methods in Python like word2vec and GloVe.
While learning about Probability and Markov models, you will explore the most essential models in Data Science and Machine Learning in the past century and how it has been applied to various NLP applications like Reinforcement Learning and Finance bioinformatics.
You will also learn about some classic NLP applications like Sentiment analysis and Spam detection, which will help you understand the basic foundations of NLP in detail. We will introduce you to some basic Machine learning algorithms like Logistic Regression and Principal Component Analysis so you can start practicing these on your own.
By the end of this course, you will be learning about the architectures of modern neural networks along with Deep learning algorithms which will further help you in your career. These will include some of the widely used networks like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
Good Luck with this amazing learning experience, a boost to your knowledge and career.