Major Updates to the Most Popular Data Science Frameworks in 2019
Featured PostModelingTools & Languages2020chainerFast.aiKerasmxnetPyTorchScikit-LearnSparkspark mllibTensorFlowposted by Daniel Gutierrez, ODSC January 28, 2020
This time last year we brought you a detailed report of all the important updates for popular data science (machine learning and deep learning) frameworks throughout 2018. The developers of these frameworks continue to innovate at an accelerated rate. Data scientists demand more powerful tools in... Read more
The 2020 Data Science Dictionary—Key Terms You Need to Know
Featured Post2020posted by Daniel Gutierrez, ODSC January 21, 2020
Here is my 2020 data science dictionary that will get you moving into the year ahead. As I discussed early last year, the data science field is a virtual hot-bed of terminology, a confluence of terms from computer science, statistics, mathematics, and software engineering. In addition,... Read more
Want to Work in Data Science? The Data Science Market for 2020
Career InsightsFeatured Post2020posted by Elizabeth Wallace, ODSC January 14, 2020
Good news. Data scientists are still in demand going into the new year. However, for many of you, the chance to break into data science could come with a slight pivot. Let’s take a look at the data science market to see how things are shaping... Read more
Deep Learning Frameworks You Need to Know in 2020
Deep LearningModeling2020AzurechainerKerasmicrosoft cognitive toolkitmxnetPyTorchSparkTensorFlowposted by Elizabeth Wallace, ODSC December 30, 2019
Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text... Read more
Data Science Job Titles to Look Out for in 2020: AI Architect and More
Career InsightsFeatured Post2020Jobsposted by Elizabeth Wallace, ODSC December 20, 2019
Data scientists are disappearing. No, not in the physical sense (no rapture here), but in the job market. The term “data science” has been a catch-all term for years, but as companies better learn what goes into hiring data science teams, the generic “data science” job... Read more
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