What is machine learning / ai ? How to lean machine learning in practice?
"I give you 2 options. A red pill and a blue pill. Take the red pill and you will experience wonderland, take the blue pill and you will wake up tomorrow morning in your bed as if nothing has happend"
If you decide to take the red pill then...
welcome to my machine learning and neural networks mini case studies course where we cover topics about the hottest topic on the planet. Machine learning is the new steam engine and will shift the world of tomorrow.
If you want to be part of this and get your hands dirty than come and join me to explore practical examples of machine learning and deep neural networks in python. The practical approach gives you 2 mini case studies where you learn
This course is designed to be a practical approach. This is not a theoretic starting point for complete beginners. I recommend that you have at least a basic understanding of machine learning and python programming. Anyway, everyone is welcome in Wonderland.
Enought words. Let's get into coding. See you in the first lecture...
The introduction for the first case study.
Let's code the machine learning comparison set up in python
Visualize the results of what you have coded. Congratulation. You mastered the first machine learning mini case study
A brief intro on time series predicitions using neural networks.
Let's first prepare the data to implement our neural network
The final steps in preparing everything we need to make our machine learning forecast with the neural network
Visualize our results.
The red pill was the right choice. Final words
Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.
He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.
"In order to do the impossible you need to see the invisible"