Monday, July 3, 2017

Udacity AI nanodegree

I enrolled in Udacity's AI nanodegree 2 months ago and I just learned I was accepted.
I thought it would be a good refresher and maybe fill in some knowledge gaps I have.
The reviews on the net are pretty good so I'm pretty sure it will be a great experience especially since there will be AI legends like Peter Norvig doing the teaching.

The curriculum consits of five parts

  1.  Foundations of AI : In this Term, you'll learn the foundations of AI with Sebastian Thrun, Peter Norvig, and Thad Starner. We'll cover Game-Playing, Search, Optimization, Probabilistic AIs, and Hidden Markov Models. 
  2.  Deep Learning and Applications : In this term, you'll learn the cutting edge advancements of AI and Deep Learning. You'll get the chance to apply Deep Learning on a variety of different topics including Computer Vision, Speech, and Natural Language Processing. We'll cover Convolutional Neural Networks, Recurrent Neural Networks, and other advanced models. 
  3. Computer Vision : In this module, you will learn how to build intelligent systems that can see and understand the world using Computer Vision. You'll learn fundamental techniques for tasks like Object Recognition, Face Detection, Video Analysis, etc., and integrate classic methods with more modern Convolutional Neural Networks.
  4. Natural Language Processing : In this module, you will build end-to-end Natural Language Processing pipelines, starting from text processing, to feature extraction and modeling for different tasks such as Sentiment Analysis, Spam Detection and Machine Translation. You'll also learn how to design Recurrent Neural Networks for challenging NLP applications.
  5. Voice User Interfaces : This module will help you get started in the exciting and fast-growing area of designing Voice User Interfaces! You'll learn how to build Conversational Agents for products and services more natural to interact with. You will also dive deeper into the core challenge of Speech Recognition, applying Recurrent Neural Networks to solve it.
In my projects so far I've mostly tackled Computer Vision and Predictive Analytics problems, so it would be a nice change to dive into NLP and Voice processing.
I hope I can fit it in my busy schedule and I'll try to write some posts describing the experience for any future students.

No comments:

Post a Comment