I recently finished an online course and want to introduce you more about it here:

Table of contents:
45 Videos:
Introduction
- Introduction to the course
- Who, what …
- Difference AI, ML, and DL
- Introduction of the presenter
- Structure of this course
- What is AI?
More about Artificial Intelligence
- The computer equivalent to a brain cell
- What can you do with AI
- Who uses AI?
- Difference AI, ML, DL
- History of AI
- Future of AI
- Is AI always necessary
Look closer
- AI reverses question
- Garbage in Garbage out
- 2 * 3 = 5.99
- Basic mathematics
Artificial Intelligence under the hood
- Model creations
- CNN is the state of the art
- Kernels
- Layer types
- Some terms
- Activation
Hyperparameters
- Padding, Striding
- Learning rate, momentum
- Loss function
- Overfitting (Underfitting)
Network architectures
- AlexNet
- VGG16 and VGG19
- ResNet
- Inception
Working environment
- Setup and tools
- Key steps in an analytic project
- The importance of your log system
- When would you want to use SVM over Random Forest (and vice versa)?
- Why is the Softmax non-linearity function often the last operation in a complicated neural network?
- Speed up
- Directory structure
- Anaconda or pip?
- PyCharm CE or professional?
- Jupyter Notebook
- Do it!
Isn’t Artificial Intelligence exiting?
- I need help
- What’s next?
- Copyright
58 Quizzes
Enroll to the courses at:
Artificial Intelligence – Basics (part 1) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-1/
Artificial Intelligence – Basics (part 2) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-2/
Artificial Intelligence – Basics (part 3) at https://courses.elmit.com/courses/artificial-intelligence-basics-part-3/