Nature of intelligence-advanced topics in machine learning

Nature of intelligence-advanced topics in machine learning, available at $19.99, has an average rating of 4.21, with 9 lectures, 1 quizzes, based on 7 reviews, and has 50 subscribers.

You will learn about 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? This course is ideal for individuals who are 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. It is particularly useful 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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Summary

Title: Nature of intelligence-advanced topics in machine learning

Price: $19.99

Average Rating: 4.21

Number of Lectures: 9

Number of Quizzes: 1

Number of Published Lectures: 9

Number of Published Quizzes: 1

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will Learn

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?

Who Should Attend

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.

Target Audiences

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.

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.

Course Curriculum

Chapter 1: In which ways are machines different from brains

Lecture 1: Part 1: How working memory makes us smarter than machines

Lecture 2: Part 2: Concepts and intelligence

Chapter 2: Limits of machines

Lecture 1: Part 1: Errors that only machines make

Lecture 2: Part 2: Variety theorem

Chapter 3: Fundamental theorems of machine learning

Lecture 1: Part 1: There's not free lunch

Lecture 2: Part 2: What does a skilled data scientist do?

Chapter 4: Human level AI

Lecture 1: Part 1: Why AI companies fail?

Lecture 2: Part 2: How we think with goosebumps

Lecture 3: Part 3: The secret souce for making machine learning successful

Instructors

Danko Nikolić
Prof. Dr. Brain Scientist, inventor of AI-Kindergarten

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 1 votes
5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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