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Take the Data Science and Machine Learning Survey Take the Data Science and Machine Learning Survey
As a practicing data professional, you are in a unique position to help the world better understand the Data Science and... Take the Data Science and Machine Learning Survey

As a practicing data professional, you are in a unique position to help the world better understand the Data Science and Machine Learning landscape. Toward that end, Bob E. Hayes, PhD of Business Over Broadway is conducting a worldwide survey of data professionals; this survey will give you an opportunity to share your work experiences, including your skillset, solutions used, company’s ethics practices, and roadblocks to insights, to name a few.

To take the survey, please click the link below.

http://bit.ly/dsmlsurvey

Answering Two Questions

Your feedback will help answer two broad questions:

1. What is the state of data science and machine learning? What DS and ML practices, tools and technologies are companies currently adopting? Which industries are excelling?
2. What are the best practices in DS and ML? What specific DS and ML practices will help give companies a competitive advantage? How should companies design an analytics center of excellence that is world-class?

The survey will take you about 10-15 minutes to complete. Your responses will remain strictly anonymous. However, if you wish to receive a free executive report of the findings, you will be asked to provide your name and email address at the end of the survey so that we can email you the report when completed (in a few weeks after the survey closes). In this case, if you do provide your email address, your responses will remain confidential.

The data science and machine learning survey will be open through April 22. To take the survey, please click the link below:

http://bit.ly/dsmlsurvey

If you have any questions about this machine learning survey, please contact Bob Hayes, PhD.

ODSC Community

ODSC Community

The Open Data Science community is passionate and diverse, and we always welcome contributions from data science professionals! All of the articles under this profile are from our community, with individual authors mentioned in the text itself.

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