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Oct 19, 2024 | 
towardsdatascience.com | Erdogan Taskesen
Bayesian approaches are becoming increasingly popular but can be overwhelming at the start. This extensive guide will walk you through applications, libraries, and dependencies of causal discovery approaches. The endless possibilities of Bayesian techniques are also their weakness; the applications are enormous, and it can be troublesome to understand how techniques are related to different solutions and thus applications.
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Oct 19, 2024 | 
flipboard.com | Erdogan Taskesen
An Extensive Starters Guide For Causal Discovery using Bayesian ModelingThe endless possibilities of Bayesian techniques are also their weakness; the applications are enormous, and it can be troublesome to understand how techniques are related to different solutions and…
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Sep 10, 2024 | 
towardsdatascience.com | Erdogan Taskesen
To analyze tabular datasets there is no need for deep learning nor large language models. I will demonstrate how (simple) statistics, and techniques such as PCA can show new insights and explainable results. Tabular datasets are one of the most common forms of data and consist of a mix of variables such as binary, categorical, textual, and continuous values. A well-known tabular dataset is, for example, the Titanic dataset.
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Aug 2, 2024 | 
towardsdatascience.com | Erdogan Taskesen
The ability to turn ideas into software products is a great skill to learn. In this blog, I will describe what it takes, and how to put the parts together to create a software product without starting costs but with a subscription model and Firestore integration. Whether you are a data scientist, data engineer, or in another field of software development, turning your thoughts into real working software products using only a laptop may be the greatest skill to have.
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Jan 20, 2024 | 
towardsdatascience.com | Erdogan Taskesen
The question is not anymore whether we can solve the problem with AI but to what extent it returns sustainable and reliable results. Good craftsmanship, governance, ethics, and education on AI are what we need now. Since I was a kid, I have always been intrigued and interested in new technology and today we live in a world where smart and connected devices have become a part of our daily lives.
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Nov 13, 2023 | 
towardsdatascience.com | Erdogan Taskesen
The ability to ask questions to your data set has always been an intriguing prospect. You will be surprised how easy it is to learn a local Bayesian model that can be used to interrogate your data set. With the rise of chatGPT-like models, it has become accessible for a broader audience to analyze your own data set and, so to speak, “ask questions”. Although this is great, such an approach has also disadvantages when using it as an analytical step in automated pipelines.
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Nov 12, 2023 | 
towardsdatascience.com | Erdogan Taskesen
With the rise of chatGPT-like models, it has become accessible for a broader audience to analyze your own data set and, so to speak, " ask questions". Although this is great, such an approach has also disadvantages when using it as an analytical step in automated pipelines. This is especially the case when the outcome of models can have a significant impact. To maintain control and ensure results are accurate we can also use Bayesian inferences to talk to our data set.
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Oct 21, 2023 | 
towardsdatascience.com | Erdogan Taskesen
Detecting multicollinearity in data sets is an important step but also challenging. I will demonstrate how to detect variables with similar behavior in mixed data sets and how to deeper examine the relationships with interactive charts. Understanding the strength of relationships between variables in a data set is important because variables with statistically similar behavior can affect the reliability of models.
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Sep 25, 2023 | 
towardsdatascience.com | Erdogan Taskesen
Peak Detection is a challenging step in many applications. Read and learn how to accurately detect peaks and valleys in 1D vectors and 2D arrays (images). Our human brain is excellent in peak detection in relation to its context. What seems an easy task by eye can be a challenging task to automate by machines. In general, peaks and valleys indicate (significant) events such as sudden increases or decreases in price/volume, or sharp rises in demand.
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Aug 25, 2023 | 
towardsdatascience.com | Erdogan Taskesen
Machine learning solutions take an important place in our lives. It is not only about performance anymore but also about responsibility. In the last decades, many AI projects focused on model efficiency and performance. Results are documented in scientific articles, and the best-performing models are deployed in organizations. Now it is the time to put another important part into our AI systems; responsibility.
