A few weeks ago I started my journey of investing in physical art pieces; an investment with a meaning, an Artventure I want to share with you.
As a software developer, machine learning engineer, and data analyst, I want to follow a data-driven approach to finding artworks for affordable prices with the chance of a decent price gain. However, I don’t want to lose sight of the joy of art.
As a kid, I visited many art galleries and museums while travelling through Europe in a caravan with my parents. However, I found it quite BORING. My sister, on the other hand, loved it, because she was painting by herself. I wanted to see soccer stadiums instead, which is a bit embarrassing to mention today.
I am 51 now, and my attitude about Art has changed. It changed last Sunday. What happened?
A friend of mine started investing in Art a while ago. I have the feeling he does it just because of the money. I was sure it wasn’t…
About two years ago I started writing articles on my personal blog about all kinds of topics. The goal was to train my writing muscle, because I had realized how important content can be for building up my own business. High quality content creates trust, which makes it much easier to sell your own products.
At first, writing was more business driven for me and less a matter of heart than for other writers. However, I love it now, I also use it to organize my thoughts and feelings. Much of it I do not publish at all.
You might have noticed that it is more difficult than you thought to find a niche within your passions. A data-driven approach will help you to find niches, business opportunities or to validate your ideas. However, sometimes there is too much competition in a niche. There are different approaches to solve this problem.
First, you could try to enter the market at lower prices. It’s not always the best idea because it reduces your margins. Furthermore, you might start a price war that you can only lose against more established players in the niche.
The trick is to avoid the…
When I was looking for a gig on Fiverr for logo design, I experienced a moment of enlightenment. I searched for gigs to find the most suitable one for me. However, the search overwhelmed me with increasing duration, because there were simply too many providers.
To be more systematic, I quickly wrote a small program (scraper) to extract data such as average rating, number of ratings, price of the different providers into a database. Now it was much easier to find the right seller because I could analyze the data more precisely. …
In 2006 I started the development of a Unified Messaging Server as a side project; with the server, you were able to send out messages via E-Mail, SMS, Letters, Fax and other channels. The software was quite flexible by using a plugin concept for the different channels. My goal was to sell the software to companies. It was a great project as it took my development skills to a new level; I learned so many new technologies, libraries and design patterns. I always had ideas for improvement, however, after six years, the product was still not finished.
In 2012 I…
My last article Example Use Cases of Docker in the Data Science Process was about Docker in Data Science in general. This time I want to get my hands dirty with a practical example.
In this case study, I want to show you how to train a shallow neural network on top of a deep InceptionV3 model on CIFAR-10 images within a Docker container on AWS. I am using a standard technology stack for this project with Python, Tensorflow and Keras. The source code for this project is available on Github.
What you will learn in this case study:
You made yourself a plan.
You want to make a living in Data Science.
Well, why aren’t you applying for a data science job then? There are tons of them right now, as we all know data science is hot right now.
You tell me that you want to create a valuable, repeatable and scalable business model and you don’t want to trade time for money.
I tell you that you could search for startups that are looking for a data science co-founder. Again, there are many opportunities right now.
You tell me that you don’t want that. You want…
The excellent comic by Jeff Lofvers illustrates what you often face in software development but also in data science. You are preparing a data analysis or predictive model, but when you want to share it, then it does not work on someone else machine. It fails, because libraries are missing, libraries are having the wrong version (“dependency hell”), or configurations are differing. Time-Consuming troubleshooting starts.
The solution is not far away: Docker solves the problem of reproducibility in a lightweight manner, but also offers you many other advantages.
What is Docker?
Photo by Jakob Owens on Unsplash
The “A picture is worth a thousand words” stresses how important images are in the modern world. The quality of images, e.g. influences our decisions in different domains. Especially in eCommerce, where we cannot touch things they are essential. They have therefore a significant influence on our product purchasing decisions.