Modeling Archives - Page 2 of 56 - Open Data Science - Your News Source for AI, Machine Learning & more

An Introduction to Natural Language Processing (NLP)

Modeling NLP/Text Analytics Beginner Introduction Natural Language Processing NLPposted by Diego Lopez Yse January 30, 2019

Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value can be extracted from it. In theory, we can understand and even predict human... Read more

NLP is Changing More Than Just Business: Applications of NLP in History, Art, and Higher Ed

Modeling NLP/Text Analytics Natural Language Processing NLPposted by Elizabeth Wallace January 28, 2019

Natural language processing (NLP) is affecting more than just your chatbot experience. It has broad-reaching applications in any field where data is king. Here’s a hint: that’s every field. You may not expect NLP to transform fields outside business and finance, but considering how much data humans have produced... Read more

The Difference Between Data Scientists and Data Engineers

Modeling Career Insightsposted by Daniel Gutierrez, ODSC January 24, 2019

A couple of years ago, I was contracted to design a complete online data science program for a university. After some early discussions and planning meetings, it became quite clear that the administrators didn’t have a clear understanding of the difference between data scientists and data engineers. I knew... Read more

The Beginners Guide for Video Processing with OpenCV

Modeling Python Computer Vision Deep Learning Machine Learning Pythonposted by Ralabs January 23, 2019

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

Modeling Machine Learningposted by Michael Shannon January 22, 2019

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

Confidence Intervals for Data Scientists

Modeling Statistics Statisticsposted by Daniel Gutierrez, ODSC January 17, 2019

Confidence interval is a basic statistical concept commonly employed by data scientists. Without a formal background in statistics, however, some data scientists tend to scratch their heads with respect to their understanding of what’s really going on with this notion. In this article, we’ll review the basics of confidence... Read more

Quansight: Connecting the Open Source Coder Community and Industry Together

Modeling Interview Open Sourceposted by Alex Landa, ODSC January 16, 2019

Below is an interview with Travis Oliphant of Quansight, a platform designed to connect the open source coder community and companies all in the name of open data. 1) Tell me about your background. What brought you to where you are today? I studied math and electrical engineering... Read more

5 ODSC Talks to Teach You Machine Learning Today

Modeling Conferences Machine Learning ODSCposted by ODSC Team January 15, 2019

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

6 Reasons Why Data Science Projects Fail

DataOps Modeling Tools & Languages Career insightposted by Daniel Gutierrez, ODSC January 14, 2019

In this article, I will dig deep into my years of experience as a tech journalist and practicing data scientist and reflect on numerous conversations I’ve had with companies about their data science projects in order to identify what I’ve seen as the top reasons why many projects fail.... Read more

Deep Learning Finds Fake News with 97% Accuracy

Deep Learning Modeling Deep Learning Fake Newsposted by Lutz Hamel January 10, 2019

In his article published on opendatascience.com in 2017, George McIntire describes an experiment building a “fake news” classifier using a document-vector model and Naive Bayes approach. He reports an 88% accuracy when classifying a “fake news” dataset which he assembled from various sources. This of course immediately made me wonder if deep neural networks (DNNs)... Read more