Find all AI-related content and resources here.
Fundamentals of Deep Learning in 25 pages
With this small e-book, you get access to the meticulously curated information on the fundamentals of deep learning. Only what you need to know, shown in diagrams and visualizations. It includes topics of:
What is deep learning? How it relates to other disciplines?
Building blocks of Neural Networks
Activation functions
and much more!
Pandas Cheat Sheet
Pandas is the backbone of doing data science with Python.
This PDF includes functions that makes my life easier when I want to:
Change certain values of the dataframe
Filter the dataframe with a condition
Deal with duplicates
Deal with missing values
and more.
Hyperparameters Cheat Sheet
Neural Networks have many settings that can be tweaked to achieve the optimal accuracy. Even though this flexibility is useful, it can get quite overwhelming to try and figure out what each knob and buttons does.
The Hyperparameters cheat sheet provides you with a summary of where each setting belongs in the greater scheme of things, which is the learning process of neural networks.
Hands-on Data Science: Complete your first project
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works.
You can watch it for free now on YouTube. All the resources and explanations are posted in the description of videos.
Deep Learning 101
In this course we will start from the ground and build a solid foundation for advanced deep learning practices.
This is a great course if you have a basic understanding of machine learning techniques and want to broaden your knowledge by learning about Neural Networks.
Data Science Kick-Starter mini-course
A guide for aspiring data scientists during their first steps. Identify clear goals and stay focused when learning data science. There are three modules in the course:
1. Determining your goal
2. Determining your path
3. Understanding learning requirements