Machine Learning and Artificial Intelligence (Part 3)

In this episode we complete our extended dive into AI with Ed Yau, this is part 3 of 3.

This all started back on Episode 101 be sure to go back and start your journey there.

Ed works as a Solution Architect at cloudThing, on behalf of a number of clients.

Having spent over 15-years in software development building different styles of Enterprise IT systems,
he is really excited about the potential for Machine Learning, Cognitive & Bot technologies which look to deliver more intelligent User Experiences (UX) for applications.

This is considering UX in the fullest sense, as a fullstack discipline.

In an area that is flooded with hype, Ed is here today to explain what developers need to know to get started with AI,
and what is happening in the evolving world of bot technologies.

Ed was last on the show back on episode 44 where we talked about Bots and how they were taking over the tech space,
just over a year later he's back today to give us more insight into the current world of AI.

Contacting Ed Yau
Website: https://medium.com/edyau
LinkedIn: https://www.linkedin.com/in/edmond-yau/
Twitter: https://twitter.com/hello_edyau

Useful Links for ML and AI
PWC: AI will create as many jobs as it displaces https://www.pwc.co.uk/press-room/press-releases/AI-will-create-as-many-jobs-as-it-displaces-by-boosting-economic-growth.html
Deloitte: Technology and people: The great job-creating machine https://www2.deloitte.com/uk/en/pages/finance/articles/technology-and-people.html
What Types of Questions Can Data Science Answer https://www.kdnuggets.com/2015/09/questions-data-science-can-answer.html
Explicable AI: LIME https://github.com/marcotcr/lime
Jan Bosch: Engineering Deep Learning Systems is Hard! https://www.linkedin.com/pulse/engineering-deep-learning-systems-hard-jan-bosch/
FDA Approval for Diabetes AI https://www.fda.gov/newsevents/newsroom/pressannouncements/ucm604357.htm
Aibo https://us.aibo.com/
Anki Vector robot. £50 off on preorder! https://www.anki.com/en-gb/vector
Ali Rahimi 2017 NIPS acceptance speech https://www.youtube.com/watch?v=Qi1Yry33TQE
Courses
Fast.ai http://course.fast.ai/
Andrew Ng’s Coursera course https://www.coursera.org/learn/machine-learning
Google AI Nanodegree https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898
Microsoft AI course https://www.edx.org/microsoft-professional-program-artificial-intelligence
Matthew Kirk: Thoughtful Machine Learning with Python https://www.amazon.co.uk/Thoughtful-Machine-Learning-Python-Test-Driven/dp/1491924136

Useful Links for Bots
BotKit https://github.com/howdyai/botkit
IBM Watson https://www.ibm.com/watson/services/conversation
RASA core https://rasa.com/products/rasa-core
MS Conversation Learner https://www.youtube.com/watch?v=9DJcWyRkqBI

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