TOP 3 skills necessary for a successful Data Scientist — The shortage of data scientist is becoming a serious constraint in some sectors. — Harvard Business Review (2012) This is the quote from the 2012 Harvard Business Review article by Thomas H. Davenport and D.J. Patil. This article starts with the story that took place on LinkedIn late in the…

False Positives/Negatives, True Positives/Negatives! How to annotate background images? Power of background images. — I have spent days searching for materials about the background images, annotation of background images, the effect of background images and I decided to write an article that sums all my findings in one article so that other practitioners could understand all the power of background images

What is it? Where and When is it used? — Motivation The goal of this article is to present you the method called PCA — Principal Component Analysis. This is a very interesting and useful method that can help you to boost the development of your machine learning project. The second goal of this article is to explain to you…

When I was doing one another custom object detector on Tensorflow and Darknet frameworks, I encountered the typical problem in machine learning — the lack of the image dataset. Moreover, the problem redoubles with a certain degree of dataset quality that is needed for a good object detector. In machine…

What is the magic behind autoencoders? Giving code examples! — In the previous article,(if you missed it here is the link ) I explained the potential use cases of autoencoders and shortly explained what autoencoders are. In this article, I would like to explain two types of autoencoders and give some code implementation of them in Python and Keras. Let’s…

Why we need Autoencoders? — Introduction These days I’ve made research on autoencoders explanation and almost all of those articles are not trying to explain why we should use autoencoders, what they used for and all those articles were about only describing what autoencoders are. In my opinion, this is not a good kickstart for those…

What are the Support Vector Machines? Explained here! — Introduction In this article, I want to talk about the data classification by the support vector machine (Support Vector Machine, SVM). This classification has a fairly wide application: from pattern recognition or creating spam filters to calculating the distribution of hot aluminum particles in rocket exhausts. Support Vector Machine algorithm was…

What does Activation Function mean in Machine Learning? Activation Function is a mathematical function that helps models to learn and extract the maximum valuable information from complicated data. It’s the component without which no neural network can do without it! In every model, always hsome kind of activation function(various kind of tasks require various kinds of activation function) …

Since I am doing more computer vision practices than any other topics of machine learning, it would be good if I will recap of how computer sees the actual objects . We will have a look to most popular image dataset — MNIST. …