Udacity Artificial Intelligence Nanodegree NLP Concentration Progress | Learning Intelligence 23

The Natural Language Processing section of Term 2 of the Udacity Artificial Intelligence Nanodegree is officially underway!

This week, I started learning how to teach a computer to extract meaning from text using techniques such as Word2Vec, GloVe and word embeddings.

Natural Language Processing is one of the most challenging tasks in the field of AI. Many people believe solving natural language will, in turn, mean we’ve solved human intelligence. This is because of the sheer depth of knowledge required to comprehend human language.

I also learned about how to run an AI company at scale via the wise words of Sacha Arnoud from Waymo.

Taking inspiration from Waymo, this weeks question of the week is around AI companies.

What is your favourite AI-driven company and why?

The best comment will get a shoutout in next week’s video!

My AI Masters Degree – https://bit.ly/AIMastersDegree
My favourite AI/ML courses – https://bit.ly/AIMLresources

LINKS FROM SHOW:
Cognitive Class (free AI courses and IBM Bluemix credits) – https://cognitiveclass.ai/
The Master Algorithm (Book) – http://amzn.to/2sGsRks
Books I’m Reading – http://www.mrdbourke.com/books
Deep Learning with Python (Book) – https://www.manning.com/books/deep-learning-with-python
Keras Deep Learning Library – https://keras.io/
Some great answers to what Word2Vec is (Quora) – http://bit.ly/2oNe5mN
MIT Self-Driving Cars Lecture with Waymo’s Sacha Arnoud – https://youtu.be/LSX3qdy0dFg

CONNECT WITH DANIEL:
Web – https://www.mrdbourke.com
Quora – http://bit.ly/DanielBourkeOnQuora
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