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Articles by Jonathan Leban
Image recognition with Machine Learning on Python, Convolutional Neural Network
source: the irish times, Pól Ó Muirí After pre-processing the data, it is time to build our model to perform the Image recognition task. One of the technique is using Convolution Neural Network. This article follows the article I wrote on image processing. After making the data available for image recognition task, it is time to create an algorithm that will perform the task.
Image recognition with Machine Learning on Python, Image processing
source: online Standford courses As the first step of image recognition, Image processing is essential to create the Dataset usable for the Neural Networks that will operate the image recognition Computer vision, the field concerning machines being able to understand images and videos, is one of the hottest topics in the tech industry. Robotics, self-driving cars, and facial recognition all rely on computer vision to work.
Essentials of recommendation engines: content-based and collaborative filtering
source: altkom software & consulting Description and a comparison of two recommendation engines Have you ever wondered why the ads on Facebook are so relevant to what you’re interested in or how the “movie-match” on Netflix works? Is it magic? No. In both cases, a recommendation engine or system makes predictions based on your historical behavior. If you are a fan of science fiction movies and have watched Star Wars, the recommendation engine may suggest that you watch Avatar.
A guide on how to interact between Python and databases using SQLAlchemy and PostgreSQL
source: Toa Heftiba, unsplash Explanation of the connection between Python and PostgreSQL using the SQLAlchemy Python library as well as some tips on how to use it. When working on a data science project, you may want to connect Python scripts with databases. A library known as SQLAlchemy bridges the gap between SQL and Python. One way to store databases is to use a relational database management system, which is a common type of database where data is stored in tables.
Python vs. R: Which is good for Machine Learning?
The following section will talk about the two languages in detail, that will significantly help you to choose the most appropriate programming language for your project. Python By Manav Jain The Python programming language was created in the late 80s and assumes an essential job of driving the internal framework of Google. Python includes enthusiastic designers and now it’s been applied in the broadly utilized uses of YouTube, Instagram, Quora, and Dropbox.
Monte Carlo method applied on a 2D binary alloy using an Ising Model on Python
source: 2018 Impact factor, advanced science news Evaluate the properties of a material using Monte Carlo method in Python using Ising Model A material such as a piece of metal or a glass sample has physical properties such as electrical conductivity, magnetic susceptibility, thermal conductivity and many others. For industrial applications, these properties must be known in order to select the best material or alloy that will meet the requirements of the load cell.
A hands on an end to end data science project using Python
A 6 steps guide to run data science projects using Python Machine learning, data science, prediction, you may have heard a lot of these words, but what exactly are they? In what situation is it useful?
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