PinnedPublished inTowards Data ScienceNLP 101 ⅓ — Feature Engineering and Word EmbeddingsA gentle introduction to the main concepts in Natural Language ProcessingMay 31, 2021May 31, 2021
Published inTowards Data ScienceNLP 101 3/3 — Neural Architectures for NLPLearn about traditional sequential neural network architectures and how transformers revolutionised NLP.Jan 6, 2022Jan 6, 2022
Why Women in Tech should be more like Penny from the BBT“Lisa, you should study computer science”, said my mother, an ex-programmer, to me many years ago. “Ew no — I don’t want to become like…Oct 25, 2021Oct 25, 2021
Published inTowards Data ScienceUniversity Degree vs Summer School vs Self-Learning: Data Science & Data AnalyticsA comparison of different ways to upskill, from university degree to self-learningMay 31, 20214May 31, 20214
Published inTowards Data ScienceNLP 101 ⅔ — Linear Models for Text ClassificationA gentle introduction to linear models for Natural Language ProcessingMay 31, 2021May 31, 2021
Lukashenko’s dwindling business modelAn English translation of a German SPIEGEL article explaining the Belarusian economic modelAug 16, 2020Aug 16, 2020
Published inTowards Data ScienceNo Fear of Machine Learning — classify your textual data in less than 10 lines of codeAn introduction to machine learning for textual dataAug 3, 2020Aug 3, 2020
Published inTowards Data ScienceGetting started with text analysis in PythonA pragmatic step-by-step tutorial for analysts who are stuck with Excel for text analysisJul 13, 20201Jul 13, 20201
Published inTowards Data ScienceHow to get started with Data Analysis and Data Science in Python and R — a pragmatic approachOften people get frustrated when using a software for data analysis which is not particularly suitable for a given task but nevertheless…Jun 29, 20202Jun 29, 20202
