How to get most of GitHub Copilot

January 25, 2022

This post describes techniques that help to get most accurate suggestions from the GitHub Copilot “Your AI pair programmer”. For those who never heard of Copilot there is short introduction, if you already know Copilot - you can jump directly to section 4: “How to get most of GitHub Copilot”.

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Learn Bayesian methods in 4 steps - by reading and by doing

July 09, 2019

This post propose 4-steps path for learning Byesian methods. First step is goint through the book: “Bayesian methods for hackers”, second, use complementary books for probability and statistics, third, read How to become a Bayesian in eight easy steps: An annotated reading list”, and last, go throught the book full of exercises: “Think Bayes”.

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How to install TensorFlow and Keras on Windows 10

January 17, 2019

Guide on how to install TensorFlow cpu-only version - the case for machines without GPU supporting CUDA. Step-by-step procedure starting from creating conda environment till testing if TensorFlow and Keras Works.

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How to organize Data Science project based on Jupyter notebook

January 05, 2019

Having several notebook-based projects behind you might result in mess in projects directory. Organize your Data Science project based on Jupyter notebooks in a way that one can navigate through it. Especially that “the one” will be most probably you in few months time. To achieve that: keep your projects’ directory clean, name the project in a descriptive way and take care of internal structure of the project.

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