A data scientist’s view on data literacy – what is it and why it should matter to you?
Long time, no see – definitely! I need to admit that I feel a little bit ashamed of my last activity here. Almost half of a year with neither blog post nor Instagram one. I was far more proud of myself in the previous year, but you know what? IRead More →
When is it worth for you team to build MLOps tool from scratch? Interview with Jakub Czakon, Chief Marketing Officer and Data Scientist from Neptune.ai.
Those who are not new to my website, probably will remember my article from several months ago when I experimented with Microsoft MLFlow. If not, I highly recommend you to start from there, where I have explained the MLOps concept in detail. As this topic is definitely not losing onRead More →
31 Days of Coding – spring challenge for R/Python programming skills improvement.
If you have ever tried to Google something like “What skills are necessary for a career in data science?”, you have probably been presented an extensive list of skills like statistics, mathematics, software development, machine learning, deep learning and many more. Each of those areas are disciplines in itself whichRead More →
Seeking for the right career path according to your talents with joint forces of data science and CliftonStrengths assessment.
Introduction Have you ever heard about the 34 CliftonStrengths Themes or Gallup Test? In short, the whole idea is about the fact that although people can learn skills, develop their knowledge and gain experiance, they can’t acquire talent. It’s innate. Each of us is unique and trying to achieve anythingRead More →
How Deep Learning can be used for social good? Interview with Karol Majek, the expert in the field of mobile robotics, self-driving cars and computer vision.
Welcome in 2022! Can you imagine? I have a feeling that not that long ago I have summarized 2021 and now I am doing same for 2022. Time flies so fast, but it doesn’t mean that it has passed unnoticed. Actually, it gave me so much pleasure to compare myRead More →
Using Azure Databricks MLFlow to track ML experiments.
As mentioned many time, few weeks ago I have taken part in a great course. Although I have been familiar with MLOps term before, it was the first time I have applied this in practice inside Jupyter Notebook environment dedicated for the workshop. I need to admit that I stillRead More →
Webscraping with BeautifulSoup – how to export data from a website without API?
Last month I have taken part in a great Natural Language Processing course organized by DataWorkshop. One of the tasks we could have challenge ourselves with during the course was trying to predict the cost of the flats based on their descriptions. The dataset for the excercise has been providedRead More →
Why is it worth to attend tech conferences? 5 top benefits on InfoShare 2021 example.
There are many situations that will never cease to surprise me. One of them are the participants of the technology conference who came there for free gadgets. Really! I thought it’s just the poor student theme who joins such events to collect his equipment for free but it really wentRead More →
How is it to be a female professional in a male-dominated field? Interview with Sylwana Kazmierska (known as @programistka_ai).
The story of a girl making AI topics accessible There was a girl taking part in the recruitment process. She has become interested in the company after one of conferences. Recruiters checked her coding skills and machine learning knowledge. When asked about the details of the construction of languages, sheRead More →
12 reasons why it was worth to participate in EARL 2021.
It’s definitely visible by the first sight that summertime has come to the end. Apart from end demos and PI planning ceremonies there has been EARL 2021 facilitated, just in the middle of this crazy period! I am really grateful that I have managed to reconcile them both and takeRead More →