NYP AI Summer Camp 2021 is the second installation of our trademark Summer Camp Series. It'll be held from 20th to 24th September, 2pm - 4.30pm daily. Be sure to check it out!

We've prepared a whole lot of exciting activities :)  

Here are some of the activities we have in store for you ~

  • Stock Prediction with Deep Learning LSTMs 📈
  • Face Detection with CV2 😉
  • Natural Language Processing with state-of-the-art Transformer architecture 🌐
  • Using AI to impersonate someone's tweets 😈
  • Deploy your Machine Learning models on your very own publicly accessible website 🧰
  • Create your own Movie Recommender System using popular, relevant techniques 🍿

What we'll be covering...

Day 1: Computer Vision Techniques

After this, you'll be able to create your own Object Detection algorithm for just about anything (Fruits.. People...etc.). You'll also see how your camera can recognize your face, how images are broken down by machines, and how to deploy your personal projects to the browser.

You'll gain insights on Image Processing - how machines are able to break down images into number sequences.  Subsequently, you'll train an Image Classification Algorithm right from your browser and camera.

Additionally, we'll be covering the OpenCV library and using its built-in Object Detection Algorithms for face detection. At the end, you will have built your very own Object Detection algorithm, deployed on the web.

Need an Object Detection algorithm? Say no more...

Day 2: Natural Language Processing

Dive into the domain of Natural Language Processing: Linguistic interactions between man and machine. After this, you'll understand how a Chatbot works, visualize how Computers understand languages and meddle with some of the most popular applications of NLP.

We'll touch on the core Language Preprocessing techniques: Stemming & Tokenization.

Utilize state-of-the-art NLP models using the Transformers Library. You'll learn how to do Text Summarization, Text Generation and Named Entity Recognition.

We'll also be covering how Machine Learning algorithms understand words - through Word Embeddings.

Visualizing Word Embeddings

Day 3: Time Series

Learn how to leverage Machine Learning for Sequential Data. After this, you'll be able to write code to work on sequential information, from Text generation, Sentiment Analysis, and yes, Stock Price prediction.

Learn about Deep Learning pipelines using the Tensorflow library. You'll delve into creating your own Neural Network Architecture, compiling your first Deep Learning Model and training it on your own data.

We'll touch on preprocessing techniques for sequential data, including N-grams and Scaling. By the end of this, you'll have trained your own Stock Price prediction algorithm with the stock of your choosing, with the latest data obtained from Yahoo Finance.

Stock Price Prediction with LSTMs

Day 4: Evil AI

AI is a double-edged sword. Learn how AI can be used to commit malicious activities, and how to recognize them. After this, you'll never look at your emails the same way again.

You'll learn how to impersonate someone's tweets: Through generating text with a similar linguistic style using Markov Chains.

😏

Day 5: Recommender Systems

Delve into the technologies used by tech companies. Ever wondered how Youtube videos uncannily pop up in your feed? Interested in finding out how Movie recommendations work? After this, you'll know about the different types of recommender systems and implement one on your own.

You'll learn how to create a content-based recommender system using Cosine Similarity and Matrix Factorization. You'll also meddle with Text Preprocessing techniques, primarily TF-IDF.

Making recommendations...

I'm sold, now what...

Come sign up for our event: https://forms.gle/xPMMhAanxnzha7jw6

See you there ~