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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 their performance relies... 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! Try it yourself... 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 case in point.... 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 a continuous process,... 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 these systems are... 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 As A Data... 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 to launch into... Read more
Machine Learning Guide: 20 Free ODSC Resources to Learn Machine Learning
Machine learning, as with many other topics within data science, involves many skills, tools, languages, frameworks, and more. The #ODSC Machine Learning Guide is our compendium of 20 free resources for you to get started with machine learning, including videos from past ODSC machine learning presentations, tutorials, articles, and... Read more
The Need For Mission Critical Text Analytics
“There’s simply too much textual information available for human beings to find or analyze it by themselves. Machines must help,” said Chris Biow, the senior vice president of Global Public Sector at Basis Technology. A 20-year text analytics veteran, Biow started his career in the space in 2000 working... Read more
How to Fix Data Leakage – Your Model’s Greatest Enemy
At ODSC London 2018, Yuriy Guts of DataRobot gave a talk on data leakage, including potential sources of the problem and how it can be remedied. Data leakage – also sometimes referred to as data snooping – is a phenomenon in machine learning that occurs when a model is... Read more