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It is a common practice to use cross-entropy in the loss function while constructing a Generative Adversarial Network [1] even though original concept suggests the use of KL-divergence. This creates confusion often for the person new to the field. In this article we go through the concepts of entropy, cross-entropy…
In this article, you will find a complete clustering cheat sheet. In eleven minutes you will be able to know what it is and to refresh your memory of the main algorithms.
聚类(也称为cluster analysis) is a task of grouping similar instances into clusters. More formally, clustering is…
Sometimes we wish we knew something that we don’t. Unfortunately, in many cases, there is no time or even no way to learn what we need. Nevertheless, decisions and assessments need to be made with only disposable knowledge. While to many of us navigating in the mist of incomplete information…
Instead of sending a visualization to a colleague, why not send a dashboard? Want to impress your boss, ask him to open one of these in his or her browser.
I know what you’re thinking, that sounds like way more effort — it’s really not.
You can even send it…
Surely almost all data scientists have tried to use thetrain_test_split()function at least once in their life. Thetrain_test_split()function is provided by the scikit-learn Python package. Usually, we do not care much about the effects of using this function, because with a single line of code we obtain…
The almost paradoxical concept of deterministic chaos describes systems which are so sensitive to initial conditions that long term forecasting becomes impossible. …
This article discusses the Enterprise Data Product Catalog, the fourth in a series of articles on Foundational Data Mesh Patterns. I will be discussing the pattern summary, the problem domain and business context, how the pattern works, and candidate vendors that enable this pattern.
Although people have been doing statistics with programming for a while, we are still in the early stages of the formal function of Data Science and Machine Learning Engineering in industry. So far, we have a well-established list of hard technical skills that one can learn to become proficient in…
In one of my recent articles, I discussed aboutSpeech Recognition and how to implement it in Python. In today’s article we will go a step further and explore how to perform topic detection over audio and video files.
As an example let’s consider podcasts which are becoming more and…
This is the first part of a tutorial that shows how Julia’s specific language features and a variety of high quality packages from its ecosystem can be easily combined for use within a typical ML workflow.
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