One of the most essential forms of human intelligence is their ability to communicate and comprehend, where language understanding rises as a fundamental component. It is said that AI will be solved once we are able to get machines to reach a human-level understanding of natural language. Are you interested in seeing how far we’ve come in solving Natural Language Processing (NLP) with Machine Learning?

Zaka is introducing a comprehensive NLP guide composed of a series of 4 hands-on workshops where you can understand: (1) the basics of traditional NLP, (2) how text is represented by machines, (3) advanced neural network architectures that evolved the field of NLP, and (4) the novel state-of-the-art Transformer models that are bringing machines closer than ever to human-level understanding.

Register for the workshop series for a full walkthrough of NLP history and learn the latest trends to solving this challenging AI field or choose to participate in a specific session of your preference!

The workshops will be held on 4 consecutive Saturdays, May 9, May 16, May 23, and May 30 from 15.00 to 18.00PM (GMT+3).

Check out the schedule below for more details on the dates and what will be covered in each session.

P.S. Only a basic programming background is required! These are hands-on coding workshops, so you will need to be on your laptops! 

Attend the 4 workshops and earn a certificate of completion!

Event Outline/Schedule

Intro to NLP: A Machine Learning approach Saturday, May 9

- The NLP Roadmap (overview and history)

- Text Preprocessing: Cleaning, Stemming, Lemmatization

- Common NLP tasks

- From words to vectors: Bag-of-Words

- Hands-on coding project

Intro to Word Embeddings Saturday, May 16

- Word2ec

- GloVe

- Visualizing the vector space

- The Embedding Layer

- RNNs for Text Classification

- Hands-on coding project

Beyond Word Embeddings: Advanced architectures for NLP Saturday, May 23

- Bidirectional Layers

- Sequence-to-Sequence

- Attention

- Intro to Contextualised Word Representation

- Intro to Universal Language Models

- Transfer Learning for NLP

- Hands-on coding throughout the session

NLP in the age of Transformers and Sesame Street Saturday, May 30

- Self-Attention

- The Transformer network

- Deep dive into BERT

- Hands-on code for Fine-tuning BERT for text classification