Learning Machines 101

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
An important resource for Machine Learning
02/02/2019
Richard Golden provides an upbeat and positive introduction to Machine Learning. Whether you are a beginner in the field or an advanced practitioner, there is plenty to learn and enjoy in this podcast. Well done!
I’ll be back.
01/12/2019
Very freaky, and it’s hard to follow along, it makes me feel very futile. And it was also very strange how I found out about this.they called didn’t answer me hung up and so I continued to call back and it said can’t not complete call at this time message LM 101. So I googled it “message LM101” and this came up. I’m just confused on why they/he/it went about reaching me this way.
Great for those interesting in machine learning.
07/12/2018
This podcast is a great intoduction to the field of Machine Learning from statistics angle.
The real deal
07/01/2018
This guy is the real deal. Check out his google scholar page, 1000s of citations on machine learning books/articles dating back to the 80s. He is patient and extremely thoughtful in his presentation of this very relevant material. I’m so glad I stumbled upon this podcast. This is when of the very few reviews I’ve written for a podcast, but hoping more reviews will enable more lucky coincidences for others in need of a podcast just like this.
About
Information
- CreatorRichard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
- Years Active2014 - 2021
- Episodes85
- RatingClean
- Copyright© Copyright (c) 2014-2021 by Richard M. Golden. All rights reserved.
- Show Website
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