Upside


The Machine Learning Data Dilemma

Machine learning applications are dependent on, and sensitive to, the data they train on. These best practices will help you ensure that training data is of high quality.

Automated Machine Learning and the Future of Data Science Teams

With the advent of automated machine learning, data scientists will need to adapt their role in the data science life cycle.

Data Digest: Machine Learning Tips, Tools, and Pitfalls

How to be successful with machine learning, choose the right tools, and head off model decay.

Data Stories: Job Descriptions, Boss Demographics, Drug Use by Profession

What job descriptions say about corporate culture, what millennial bosses really think, and which industries see the most drug and alcohol abuse.

Most Companies Are Not Ready for Ethical Intelligence

Adding property rights to inherent human data could provide a significant opportunity and differentiator for companies seeking to get ahead of the data ethics crisis and adopt good business ethics around consumer data.

Data Digest: Data Science Skills, Hiring, and Augmented Analytics

The five top data science skills, how to hire or train for data science, the benefits of augmented analytics tools.

How to Survive and Thrive as a Woman in Data and Analytics

Three women in the tech and analytics fields offer advice for getting and staying ahead in a male-dominated environment.

Predictive Analytics and Employee Retention: A Winning Combination

Employee surveys are no substitute for predictive analytics for anticipating workforce turnover.

Data Digest: Predictive Analytics Trends and Industries’ Digital Transformation

How to embrace predictive analytics, how predictive analytics is affecting security, and how five other industries are changing because of real-time data.