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Nature of intelligence-advanced topics in machine learning

What you need to know while undergoing ambitious machine learning projects
4.6
4.6/5
(5 reviews)
43 students
Created by

7.6

Classbaze Grade®

5.5

Freshness

8.9

Popularity

7.7

Material

What you need to know while undergoing ambitious machine learning projects
Platform: Udemy
Video: 4h 10m
Language: English
Next start: On Demand

Best Artificial Intelligence classes:

Classbaze Rating

Classbaze Grade®

7.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

5.5 / 10
This course was last updated on 9/2018.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.9 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.7 / 10
Video Score: 8.2 / 10
The course includes 4h 10m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 26 minutes of 212 Artificial Intelligence courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

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In this page

About the course

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.

What can you learn from this course?

✓ This course explaines the nature of intelligence, ranging from machines to the biological brain. Information provided in the course is useful when undergoing ambitious projects in machine learning and AI. It will help you avoid pitfalls in those projects.
✓ What are the differences between the real brain and machine intelligence and how can you use this knowledge to prevent failures in your work? What are the limits of today’s AI technology? How to assess early in your AI project whether it has chances of success?
✓ What are the most fundamental mathematical theorems in machine learning and how they are relevant for your everyday work?

What you need to start the course?

• The student should already possess certain knowledge of machine learning. One should know how machine learning algorithms work and should have experience in applying them. Although not a requirement, having a PhD in machine learning will make taking this course easier.

Who is this course is made 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.

Are there coupons or discounts for Nature of intelligence-advanced topics in machine learning ? What is the current price?

The course costs $19.99.
The average price is $18.0 of 212 Artificial Intelligence courses. So this course is 11% more expensive than the average Artificial Intelligence course on Udemy.

Will I be refunded if I'm not satisfied with the Nature of intelligence-advanced topics in machine learning course?

YES, Nature of intelligence-advanced topics in machine learning has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

At the moment we could not find an available financial aid for Nature of intelligence-advanced topics in machine learning.

Who will teach this course? Can I trust Danko Nikolić?

Danko Nikolić has created 1 courses that got 5 reviews which are generally positive. Danko Nikolić has taught 43 students and received a 4.6 average review out of 5 reviews. Depending on the information available, we think that Danko Nikolić is an instructor that you can trust.
Prof. Dr. Brain Scientist, inventor of AI-Kindergarten
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.
Browse all courses by on Classbaze.

7.6

Classbaze Grade®

5.5

Freshness

8.9

Popularity

7.7

Material

Platform: Udemy
Video: 4h 10m
Language: English
Next start: On Demand

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