Before getting started with Machine Learning: Online tutorials

Programming (Python)

The main programming language for machine learning is Python. The advantage of Python with respect to other languages is twofold: it is easy to use for beginners and it contains many suitable machine learning libraries (e.g. scikit-learn, Keras or PyTorch) which can make your job much easier.

Basic Mathematics

Machine learning is all about Mathematics. The good news is that you don’t need to be an expert in maths to be a competent machine learning practitioner. However, you should at least have a general knowledge of some areas (particularly linear algebra and probability/statistics) to be a successful one. Plus, it will also make your learning process much smoother.

Linear algebra

Probability and statistics

Terminal and Virtual Environments

While it is not crucial to dominate your operating system, it is very useful to be able to use the command line (terminal) to quickly inspect data files and perform basic operations on them. The following tutorials are based on Linux, which is the most widely used operating system for machine learning. Similarly, working with virtual environments is not essential but enable you to keep track of the versions and dependencies required by different projects. Also, depending on your working conditions and administrator rights, you may be forced to use virtual environments in your projects.

Terminal (Linux) and others

Virtual environments (Python)



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Jose Camacho Collados

Jose Camacho Collados

Mathematician, AI/NLP researcher and chess International Master.