Tools & Languages Archives - Page 4 of 31 - Open Data Science - Your News Source for AI, Machine Learning & more

Data Ops: Running ML Models in Production the Right Way

DataOps Tools & Languages DataOpsposted by Ido Shlomo February 22, 2019

Editor’s note: Check out Ido’s talk at ODSC East 2019 this May, “From Zero to Airflow: Bootstrapping Into a Best-in-Class Risk Analytics Platform.” The tipping point Many organizations reach the point in which new goals for SLA, scale, or efficiency simply exceed the capabilities of their existing data / ML... Read more

7 Tips for Visual Search at Scale

Data Visualization Modeling Tools & Languages Uncategorized Conferences ODSC West visual searchposted by Pat Lasserre February 6, 2019

Visual search is a rapidly emerging trend that is ideal for retail segments, such as fashion and home design, because they are largely driven by visual content, and style is often difficult to describe using text search alone. It is a topic of interest to data scientists, as evidenced... Read more

Activities and Insights for R: Monthly Summary of Selected Trends – December 2018

R Tools & Languages R Central R Trendsposted by R Central February 6, 2019

In December, activities across the R ecosystem reduced from levels observed in November. This was notable in StackOverflow, meetup events, and in the downloads of R packages. The December holidays likely caused this general reduction in activities. However, the first two weeks in December saw great activity in meetup... Read more

The 5 Biggest Debates in Data Science Today

Featured Post Tools & Languagesposted by Daniel Gutierrez, ODSC January 29, 2019

The meteoric rise of data science in recent years is not without controversy. There are a number of on-going debates in the discipline that have gone unresolved for quite some time. The short list below contains the most common debates I routinely see discussed online, at conferences, and even... 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

Which Conference is Best? — College Hoops, Net Rankings and Python

Python Tools & Languages Python Sportsposted by Steve Miller January 18, 2019

For college basketball junkies like me, the season is now shifting into high gear as teams begin serious conference play. At the end of the regular season and conference tournaments, 66 D1 teams — 32 league champions and 34 at large — will receive invitations to March’s national championship... 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

Monthly Summary of Selected Trends, Activities, and Insights for R – November 2018

Modeling R Tools & Languages R R Central R Trends Researchposted by R Central December 28, 2018

In November, activities continued to increase beyond the numbers recorded since July across the R ecosystem. This was most notable in events and in the downloads of R packages. Total package downloads from a single CRAN mirror and in one single year hit half-billion this November for the first... Read more

The Data Scientist’s Holy Grail – Labeled Data Sets

Modeling Tools & Languages Workflow Labeled Data Machine Learningposted by Daniel Gutierrez, ODSC December 14, 2018

The Holy Grail for data scientists is the ability to obtain labeled data sets for the purpose of training a supervised machine learning algorithm. An algorithm’s ability to “learn” is based on training it using a labeled training set – having known response variable values that correspond to a... Read more

A Practical Approach to Data Ethics

Tools & Languages Workflow Data Ethicsposted by Aakash Gupta November 30, 2018

There is a Golden Rule in life. It’s a maxim that appears in various forms around the world: One should never do that to another which one regards as injurious to one’s own self. As a data scientist, I find this principle of reciprocity very appealing! Treat others’ data... Read more