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Overall Score : 100 / 100

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Course Description

In this course Danko Nikolic a brain scientists and AI inventor explains the fundamental of intelligence nedded for everyone interested in creating ambitious AI solutions. What you do when things get tough? In the course you will learn the differences between machine intelligence and human intelligence. You will understand why AI fails and when. AI does not have a narrowy limited working memory (a.k.a., short-term memory) but we humans do. How does our working memory make us more intelligent than machines? Why do we understand the world and machines don't? You will also learn fundamental theorems for machine learning and see how they apply to machine intelligence and human intelligence. After having learned that, you will be able to judge whether an ML project is too amitious or is likely to succeed. You will be able to identify fundamental problems that plaqued some of the ambitious AI projects in the past. You will understand why it is nearly impossible for machines to reach human levels of intelligence. Also, you will learn why some of the tricks in machine learning sometimes work and other times not. You will understand why it is so difficult to build self-driving cars. The course offers fundamentals that you cannot find in any other course or a book. These fundamentals will be invaluable for your future work on ML and AI.Who this course is for:
  • An expert in machine learning who wants to bring their skill to the next level. The course is not meant for beginners--alghough a motivated beginner too should also be able to profit from the course.

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Instructor Details

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I am an accomplished brain scientist and an AI researcher and practitioner who received a degree in Psychology and a degree in Civil Engineering from the University of Zagreb, Croatia. My masters degree and a Ph.D. I received form the University of Oklahoma, USA. I am an honorary professor of psychology at the University of Zagreb. In 1999 my neuroscience work started at the Department of Neurophysiology at the Max-Planck Institute for Brain Research where I headed a lab for investigating the functioning of the visual cortex. I used my research insights to develop the theory of brain functioning, called practopoiesis. The theory of practopoiesis was the basis for the invention of AI-Kindergarten and the technology called MENTAL, which lead to co-founding the company RobotsGoMental. In the past, I consulted companies in developing deep learning applications for commercial purposes and on other machine learning and Data Science problems. Currently, I am a CDO and Head of AI at savedroid AG. I am a frequent keynote speaker at Data Science and machine learning conferences.

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Reviews

5.0

2 total reviews

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By Stephen Paul King

I very much enjoy Danko's conversational style!

By Franco A

I particularly liked "Humans vs. Machines make different errors."

No coding in this course; Danko will help you to think better about machine learning.

PS: full disclosure, I know Danko personally and this is kind of a Amazon "Vine Review"