Search result for Robotics algorithms Online Courses & Certifications
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Data Science: Supervised Machine Learning in Python
by Lazy Programmer Team- 4.8
6.5 hours on-demand video
Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn This is the most complex of the algorithms we’ll study, and most courses you’ll look at won’t implement them. We’ll discuss the Sci-Kit Learn library, because even though implementing your own algorithms is fun and educational, you should use optimized and well-tested code in your actual work....
$29.99
Ensemble Machine Learning in Python: Random Forest, AdaBoost
by Lazy Programmer Team- 4.6
5.5 hours on-demand video
In particular, we will study the Random Forest and AdaBoost algorithms in detail. We'll do plenty of experiments and use these algorithms on real datasets so you can see first-hand how powerful they are. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch...
$29.99
Autonomous Navigation for Flying Robots
by Jürgen Sturm , Daniel Cremers , Christian Kerl- 0.0
4 Weeks
Computer Vision: Algorithms and Applications....
$50
Learn to think and act like a programmer using Python
by Willow Bits- 4.6
11.5 hours on-demand video
get into Artificial Intelligence, Machine Learning, Robotics or Web Development?...
$12.99
Modern Artificial Intelligence Masterclass: Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
15 hours on-demand video
· Project #3 (AI in Business/Marketing): Mall Customer Segmentation Using Autoencoders and Unsupervised Machine Learning Algorithms...
$12.99
Digitalisation in the Aerospace Industry
by Klaus Drechsler , Guenter W. Hein- 4.7
Approx. 14 hours to complete
You will learn about the role of robotics and automation in manufacturing and gain a better understanding of differing perspectives on research and manufacturing as well as the points where these intersect. Robotics Robotics...
Sample-based Learning Methods
by Martha White , Adam White- 4.7
Approx. 22 hours to complete
In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience....