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Machine Learning and Compression Systems in Communications and Healthcare
Machine learning has all sorts of applications across disciplines. Two important fields using machine learning to solve long-standing issues are communication and healthcare. Dr. Thomas Wiegand, executive director and professor at the Fraunhofer Henrich Hertz Institutionalization, goes over exciting advances made in these disciplines due to... Read more
Learn Interpretability for Data Science
Editor’s note: Rajiv Shaw will be a speaker at ODSC East 2019 this May! Be sure to check out his talk, “Deciphering the Black Box: Latest Tools and Techniques for Interpretability” there. The impact of machine learning has been tremendous, whether it’s measured in dollars (trillions)... Read more
The Anatomy of K-Means Clustering
Let’s say you want to classify hundreds (or thousands) of documents based on their content and topics, or you wish to group together different images for some reason. Or what’s even more, let’s think you have that same data already classified but you want to challenge... Read more
Techniques to Overcome Data Scarcity
Editor’s note: Attend ODSC East 2019 this April 30 to May 3 in Boston and check out Parinaz’ talk, “Data Efficiency Through Transfer Learning” there! Supervised machine learning models are being used to successfully solve a whole range of business challenges. However, these models are data-hungry and... Read more
Feature Selection Using Genetic Algorithms in R
This is a post about feature selection using genetic algorithms in R, in which we will do a quick review about: What are genetic algorithms? GA in ML? What does a solution look like? GA process and its operators The fitness function Genetics Algorithms in R!... Read more
Automated Machine Learning: Myth Versus Reality
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to create shortcuts to satisfy the need for more data science practitioners. The current trend of automated machine learning is a great... Read more
The Beginners Guide for Video Processing with OpenCV
Computer vision is a huge part of the data science/AI domain. Sometimes, computer vision engineers have to deal with videos. Here, we aim to shed light on video processing – using Python, of course. This might be obvious for some, but nevertheless, video streaming is not... Read more
Top-Rated Development Tools for Machine Learning
Machine learning is a part of artificial intelligence. This is a developed idea where systems learn from data, find patterns, and make decisions without human intervention. The sole objective is to allow computers to learn automatically without human help and adjust its actions properly. Some of... Read more
3 Unexpected Pathways To A Career In Data Science
Data science is changing the way organizations do just about everything. That change is apparent in fields like social media or e-commerce, but lesser known fields have massive potential for a career in data science. [Related Article: 13 Best Cities On The Planet To Get Hired... Read more
5 ODSC Talks to Teach You Machine Learning Today
The internet provides an abundance of content to teach you how to implement machine learning algorithms. Are you overwhelmed and unsure where to begin? These videos of top-rated Open Data Science Conference talks are a great introduction to the topic and offer a great starting point... Read more