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Data Scientist | https://zerowithdot.com | makes data make sense

On the benefits of building trust, precision, and awareness of one’s skills

Moon rise on night summer sky in Northern Poland — a break from dealing with bits and bytes. Photo by the author.

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The tech world surrounds us. It penetrates nearly every aspect of our lives not only through devices and services that we use, but it also affects…

Data, stones, and data and more stones…
Atlantic coastline, stones, data, more stones. Portugal 2019. (photo by the author)

I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch.

Introduction

Data analysis is one of the most essential steps in any data-related project. Regardless of the context (e.g. business, machine-learning, physics, etc.), there are many ways…

Simple usage of a reverse SSH tunnel for to greatly improve the usability.

This was not an SSH tunnel, but still a reverse one. Sintra, Portugal 2019. (Photo by the author).

Introduction

It’s been quite some time since we wrote on any “engineering-like” topic. As we all want to stay efficient and productive, it is a good time to revisit Google Colaboratory.

Google Colaboratory, or Colab for short, has been a great platform for data scientists or machine-learning enthusiasts in general. It…

Python Pandas and SQL — time aggregations and syntax explained.

Waiting for a good moment, Poland 2021. Photo by the author.

Introduction

Working with time-series data is often a challenge on its own. It is a special kind of data, where data points depend on each other across time. When analyzing it, your productivity at gaining insights to a large extent depends on your ability to juggle with the time dimension.

Very…

A few tricks on how to learn quickly — especially in the Data Science world.

“Looking up”, Poland 2021. Photo by the author.

Technology is fascinating. It is the missing link that brings tomorrow’s dreams today. It is also an attractive career for many — engineers, managers, entrepreneurs, and all kinds of problem solvers are welcome.

Unfortunately, there is also a catch. The catch is the ever-changing technology landscape in combination with an…

Not every cloud is about data, but navigating may be equally hard. (Photo by the author)

Data analysis is by far one of the most frequently occurring tasks in both business and technology. It is the daily bread of thousands of academic researchers, bankers, engineers, and, obviously, data scientists. Interestingly, despite being such a popular activity, there seems to be no agreement on what should be…

View of the Trondheim’s fjord — a part of an every day life that changed. Photo by the author.

I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch.

There is probably no other field that changes as quickly and dynamically as technology. …

Butterfly Effect, which has nothing to do with decision trees…, Poland 2020 (photo by the author).
Butterfly Effect, which has nothing to do with decision trees…, Poland 2020 (photo by the author).

I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch.

Introduction

It is not hard to be under an impression that the world is all about neural networks these days when it comes to making models. Many…

A good day.
How a good day looks. Photo by the author.

Rarely do I get a feeling that there is not enough advice to go around. It’s quite the opposite. Advice is often free and accessible, despite not always being useful or applicable.

In this article, I would like to share some thoughts on what I think is useful. It is…

Getting Started

With bare-bone numpy code.

This gentleman propagated forward backward. Cuba 2015.
This gentleman propagated forward backward. Cuba 2015. (Photo by the author).

I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch.

Introduction

Writing a custom implementation of a popular algorithm can be compared to playing a musical standard. For as long as the code reflects upon the equations…

Oleg Żero

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