Oct2018 Nov Opinions
All (39) | Courses, Education (3) | Meetings (4) | News (5) | Opinions (9) | Top Stories, Tweets (3) | Tutorials, Overviews (12) | Webcasts & Webinars (3)
- To get hired as a data scientist, don’t follow the herd
- Nov 12, 2018.
Key tips, including advice on how to step out of your comfort zone and sometimes overlooked important skills that will impress employers. Check also the audio version with additional advice.
- The Long Tail of Medical Data
- Nov 12, 2018.
This article discusses some issues related to medical data, relating specifically to power law distributions and computer aided diagnosis. Read on to see machine learning's place in the puzzle.
- What does a data scientist REALLY look like?
- Nov 9, 2018.
Using the responses from Stack Overflow's 2018 Annual Developer Survey, we attempt to build a portrait of data scientists today, including a look at gender, skills, job satisfaction, and more.
- Best Practices for Using Notebooks for Data Science
- Nov 8, 2018.
Are you interested in implementing notebooks for data science? Check out these 5 things to consider as you begin the process.
- Latest Trends in Computer Vision Technology and Applications
- Nov 7, 2018.
We investigate the advancements in deep learning, the rise of edge computing, object recognition with point cloud, VR and AR enhanced merged reality, semantic instance segmentation and more.
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The Most in Demand Skills for Data Scientists
- Nov 2, 2018.
Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. How should data scientists who want to be in demand by employers spend their learning budget? - Data Science “Paint by the Numbers” with the Hypothesis Development Canvas
- Nov 2, 2018.
Now you are ready to take the next step from a Big Data MBA perspective by building off of the Business Model Canvas to flesh out the business use cases – or hypothesis – which is where we can become more effective at leveraging data and analytics to optimize our the business.
- Why AI will not replace radiologists
- Nov 1, 2018.
We investigate some of the reasons why radiologists will be safe from AI, including the fact that humans will always maintain ultimate responsibility, how productivity gains will drive demand, and more.
- How Data Science Is Improving Higher Education
- Nov 1, 2018.
Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything from recruiting to engaging with students to budgeting.